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Sponsored by the SIAM Activity Group on Computational Science and Engineering (CSE)
The SIAM Activity Group on CS&E fosters collaboration and interaction among applied mathematicians, computer scientists, domain scientists and engineers in those areas of research related to the theory, development, and use of computational technologies for the solution of important problems in science and engineering. The activity group promotes computational science and engineering as an academic discipline and promotes simulation as a mode of scientific discovery on the same level as theory and experiment. The activity group organizes this conference and maintains a wiki, a membership directory, and an electronic mailing list.
Final Program
Society for Industrial and Applied Mathematics3600 Market Street, 6th Floor
Philadelphia, PA 19104-2688 USATelephone: +1-215-382-9800 Fax: +1-215-386-7999
Conference E-mail: meetings@siam.org Conference Web: www.siam.org/meetings/
Membership and Customer Service: (800) 447-7426 (US & Canada) or +1-215-382-9800 (worldwide)
www.siam.org/meetings/cse15
SIAM 2015 Events Mobile App Scan the QR code with any QR reader and download the TripBuilder EventMobile™ app to your iPhone, iPad, iTouch or Android mobile device. You can also visit www.tripbuilder.com/siam2015events
2 2015 SIAM Conference on Computational Science and Engineering
Table of Contents
General Information .............................. 2
Celebrating 15 Years of SIAM CSE ..... 5
Prize Award Ceremony ......................... 5
Conference Sponsors ............................ 3
Invited Plenary Presentations ................ 8
Symposium on Materials ................... 10
Minitutorials ........................................ 11
Featured Minisymposia ....................... 12
Panels .................................................. 14
Career Fair .......................................... 16
Professional Development Evening .... 17
Student Days ....................................... 19
Workshop Celebrating Diversity ......... 21
AWM Workshop ................................. 21
Mentoring Program ............................. 23
Program Schedule ............................... 25
Sunday Poster Session ........................ 80
AWM Poster Session .......................... 85
Monday Poster Session ..................... 111
Speaker and Organizer Index ............ 181
Conference Budget ... Inside Back Cover
Salt Palace Meeting Room Floor Plan ....
.......................................... Back Cover
Organizing Committee Co-ChairsHans De Sterck University of Waterloo, Canada
Chris Johnson University of Utah, USA
Lois Curfman McInnes Argonne National Laboratory, USA
Organizing CommitteeEvrim AcarUniversity of Copenhagen, Denmark
Tom BartolSalk Institute, USA
Pavel Bochev Sandia National Laboratories, USA
Hank ChildsLawrence Berkeley National Laboratory and
University of Oregon, USA
Vincent HeuvelineHeidelberg University, Germany
Mary Ann LeungSustainable Horizons, USA
Anders LoggChalmers University of Technology, Sweden
Susan MinkoffUniversity of Texas, Dallas, USA
Patrick O’LearyKitware, USA
Luke OlsonUniversity of Illinois at Urbana-Champaign,
USA
Steve ParkerNVIDIA, USA
Linda PetzoldUniversity of California, Santa Barbara,
USA
Han-Wei ShenOhio State University, USA
Feng XiaoTokyo Institute of Technology, Japan
Irad YavnehTechnion, Israel
SIAM Registration Desk The SIAM registration desk is located in the East Foyer of the The Calvin L. Rampton Salt Palace Convention Center. Registration hours are:
Friday, 1:00 PM - 5:00 PM
Saturday, 7:15 AM - 5:00 PM
Sunday, 7:30 AM - 5:00 PM
Monday, 7:30 AM - 5:00 PM
Tuesday, 7:45 AM - 5:00 PM
Wednesday, 7:45 AM - 2:30 PM
Convention Center Address The Calvin L. Rampton Salt Palace Convention Center
100 SW Temple Salt Lake City, UT 84101 USA
Phone: +1(385) 468-2222
Child CareTo find local child care options in Salt Lake City, please use https://careaboutchildcare.utah.gov/parent/search.aspx, using the area code 84101, or https://www.guardianangelbaby.com/home-frame.htm to find reputable child care services.
Corporate Members and AffiliatesSIAM corporate members provide their employees with knowledge about, access to, and contacts in the applied mathematics and computational sciences community through their membership benefits. Corporate mem-bership is more than just a bundle of tangible products and services; it is an expression of support for SIAM and its programs. SIAM is pleased to acknowledge its corporate members and sponsors. In recognition of their support, non-member attendees who are employed by the following organizations are entitled to the SIAM member registration rate.
Corporate Institutional MembersThe Aerospace CorporationAir Force Office of Scientific ResearchAramco Services CompanyAT&T Laboratories - Research Bechtel Marine Propulsion LaboratoryThe Boeing CompanyCEA/DAMDepartment of National Defence (DND/ CSEC)DSTO- Defence Science and Technology OrganisationExxonMobil Upstream Research Hewlett-PackardIBM CorporationIDA Center for Communications Research, La JollaIDA Center for Communications Research, PrincetonInstitute for Computational and Experimental Research in Mathematics (ICERM)Institute for Defense Analyses, Center for Computing SciencesLawrence Berkeley National Laboratory Lockheed MartinLos Alamos National LaboratoryMathematical Sciences Research InstituteMax-Planck-Institute for Dynamics of Complex Technical SystemsMentor GraphicsNational Institute of Standards and Technology (NIST)National Security Agency (DIRNSA) Oak Ridge National Laboratory, managed by UT-Battelle for the Department of EnergySandia National LaboratoriesSchlumberger-Doll ResearchTech X CorporationU.S. Army Corps of Engineers, Engineer Research and Development Center United States Department of Energy
*List current January 2015
2015 SIAM Conference on Computational Science and Engineering 3
Funding AgenciesSIAM and the conference organizing commit-tee wish to extend their thanks and apprecia-tion to the U.S. National Science Foundation and the Department of Energy for their sup-port of this conference.
Special Themes: • CSE software
• Big data analytics
Additional Themes: • Physics-compatible numerical methods
• High-accuracy numerical methods
• Compressed sensing and sparse representation
• Multiphysics, multiscale, and multilevel methods
• Reduced-order modeling
• Visual data analysis
• Multi-modal methods and data fusion
• Biomedical computing
• Computational neuroscience
• Verification, validation, and uncertainty quantification
• Extreme-scale and hardware-aware algorithms
• Modeling and computing complex flows
• Computational statistics
• CSE education
Of special note at CSE15:• Increased emphasis on poster sessions,
including demos, thematic groups of posters, and new poster prizes
• 15th Anniversary celebration of SIAM-CSE conferences
Leading the applied mathematics community . . .Join SIAM and save!SIAM members save up to $130 on full registration for the 2015 SIAM Conference on Computational Science and Engineering! Join your peers in supporting the premier profes-sional society for applied mathematicians and computational scientists. SIAM members receive subscriptions to SIAM Review, SIAM News, and Unwrapped, and enjoy substantial discounts on SIAM books, journal subscrip-tions, and conference registrations.
If you are not a SIAM member and paid the Non-Member or Non-Member Mini Speaker/Organizer rate to attend the con-ference, you can apply the difference between what you paid and what a member would have paid ($130 for a Non-Member and $65 for a Non-Member Mini Speaker/Organizer) towards a SIAM membership. Contact SIAM Customer Service for details or join at the conference registration desk.
If you are a SIAM member, it only costs $10 to join the SIAM Activity Group on the Com-putational Science and Engineering (SIAG/CSE). As a SIAG/CSE member, you are eligible for an additional $10 discount on this conference, so if you paid the SIAM member rate to attend the conference, you might be eligible for a free SIAG/CSE membership. Check at the registration desk.
Free Student Memberships are available to students who attend an institution that is an Academic Member of SIAM, are members of Student Chapters of SIAM, or are nominated by a Regular Member of SIAM.
Join onsite at the registration desk, go to www.siam.org/joinsiam to join online or download an application form, or contact SIAM Cus-tomer Service Telephone: +1-215-382-9800 (worldwide); or 800-447-7426 (U.S. and Canada only) Fax: +1-215-386-7999 E-mail: membership@siam.org Postal mail: Society for Industrial and Applied Mathematics, 3600 Market Street, 6th floor, Philadelphia, PA 19104-2688 USA
Standard Audio/Visual Set-Up in Meeting Rooms SIAM does not provide computers for any speaker. When giving an electronic presenta-tion, speakers must provide their own comput-ers. SIAM is not responsible for the safety and security of speakers’ computers.
The Plenary Session Room will have two (2) screens, one (1) data projector and one (1) overhead projector. Cables or adaptors for Apple computers are not supplied, as they vary for each model. Please bring your own cable/adaptor if using a Mac computer.
All other concurrent/breakout rooms will have one (1) screen and one (1) data projec-tor. Cables or adaptors for Apple computers are not supplied, as they vary for each model. Please bring your own cable/adaptor if using a Mac computer. Overhead projectors will be provided for any presenter that ordered one in advance as requested in the acceptance notification.
If you have questions regarding availability of equipment in the meeting room of your presentation, please see a SIAM staff member at the registration desk.
E-mail AccessA limited number of e-mail stations are avail-able in Room 255 during registration hours. Wireless email access is available throughout the Salt Palace for all conference attendees.
Registration Fee Includes• Admission to all technical sessions• Business Meeting (open to SIAG/CSE
members)
• Coffee breaks daily
• Poster Session and Dessert Reception
• Room set-ups and audio/visual equipment
• Welcome Reception (held at the Hilton Hotel)
In addition, the following events are available to attendees at no additional cost. The events are subsidized by SIAM and are not covered by the registration fees.
• Career Fair
• Champagne Toast at the Welcome Reception
• Professional Development Evening
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Table Top DisplaysEDP Sciences
Intel
IOS Press
PIC Math
Princeton University Press
SIAM
Springer
The Berkeley MFE
Name BadgesA space for emergency contact information is provided on the back of your name badge. Help us help you in the event of an emergency!
Comments?Comments about SIAM meetings are encouraged! Please send to: Cynthia Phillips, SIAM Vice President for Programs (vpp@siam.org).
Get-togethers • Welcome Reception
Friday, March 13, 6:00-8:00 PM
Hilton Salt Lake City Center 255 South West Temple Salt Lake City, UT 84101
• Poster Session & Reception Sunday, March 15, 4:30-6:30 PM
• Poster Session & Reception Monday, March 16, 4:30-6:30 PM
Please NoteSIAM is not responsible for the safety and security of attendees’ computers. Do not leave your personal electronic devices unattended. Please remember to turn off your cell phones and other devices during sessions.
Recording of PresentationsAudio and video recording of presentations at SIAM meetings is prohibited without the written permission of the presenter and SIAM.
Social MediaSIAM is promoting the use of social media, such as Facebook and Twitter, in order to enhance scientific discussion at its meetings and enable attendees to connect with each other prior to, during and after conferences. If you are tweeting about a conference, please use the designated hashtag to enable other attendees to follow the conversation and to allow better archiving of our conference discussions. The hashtag for this conference is #SIAMCSE15.
SIAM 2015 Events Mobile App Scan the QR code with any QR reader and download the TripBuilder EventMobile™ app to your iPhone, iPad, iTouch or Android mobile device. You can also visit www.tripbuilder.com/siam2015events
The SIAM 2015 Events Mobile App Powered by TripBuilder® To enhance your conference experience, we’re providing a state-of-the-art mobile app to give you important conference information right at your fingertips. With this TripBuilder EventMobile™ app, you can:
• Create your own custom schedule• View Sessions, Speakers, Exhibitors
and more• Take notes and export them to your
email• View Award-Winning TripBuilder
Recommendations for the meeting location
• Get instant Alerts about important conference info
Job PostingsPlease check with the SIAM registration desk regarding the availability of job postings or visit http://jobs.siam.org.
Important Notice to Poster PresentersPoster presenters may set-up their posters between 3:00-5:00 PM on Saturday, March 14. Posters should be set up by 8:00 AM on Sunday, March 15, 2015. Presenters are expected to stand by their posters during their assigned session. Posters should remain on display through 6:30 PM on Monday, March 16, 2015 (two full days). Posters must be removed between 6:30 PM on Monday, and 12:30 PM on Tuesday. Unclaimed posters will be discarded.
SIAM Books and JournalsDisplay copies of books and complimentary copies of journals are available on site. SIAM books are available at a discounted price during the conference. The books table will close at 1:00 PM on Wednesday, March 1.
“Communication Doctors”: Get your Research Communication Ready for the PressHave a significant research project that you absolutely love, but begin to see people’s eyes glaze over every time you start to talk about it? Visit the “Communication Doctors” at CSE15! During two sessions (held concurrently with the poster sessions) the “Communication Doctors”— representing mathematicians, science communicators and educators—will help make your research story media ready and public friendly. Do you have a scientific question, project or visual that you want to turn into a good story? Bring an elevator pitch, 1-3 minutes long, or a summary or visual of your research work, and the “doctors” will use a variety of skills to break it down for the lay public and media. You will also have a chance to meet and interact with science writer Flora Lichtman, whose work has appeared in the New York Times, NPR’s Science Friday, and Popular Science, among other outlets and publications.
Visit the “Communication Doctors” in Room 255 during the poster sessions between 4:30 and 6:30 PM on Sunday, March 15 or Monday, March 16.
2015 SIAM Conference on Computational Science and Engineering 5
Celebrating 15 Years of SIAM CSEOn Saturday, March 14 at 8:30 AM, join Linda R. Petzold as she examines the growth of CSE in SIAM and looks toward some of the challenges and opportunities for the future.
Prize Award CeremonyOn Tuesday, March 17, 9:00-9:30 AM the prize award ceremony will take place. The following prizes will be acknowledged and announced: SIAM/ACM Prize in Computational Science and Engineering, CSE15 Poster Prizes and the Computational Engineering (BGCE) Student Paper Prizes.
Poster Blitzes and Plenary Poster Sessions including MinisymposteriaNew this year are two plenary poster sessions featuring Minisymposteria. Minisymposteria are collections of three or more posters by different presenters grouped around a central theme.
Poster sessions will take place in Room 255 on Sunday, March 15, 4:30-6:30 PM and Monday, March 16, 4:30-6:30 PM. Both sessions include Minisymposteria and general posters grouped by category. Poster Blitzes will precede each poster session at 3:40 PM in Room 355.
To ensure conference participants have ample time to view posters, presenters are requested to keep their posters on display for two full days, from 8:00 AM Sunday, March 15 through 6:30 PM Monday, March 16. Presenters are expected to stand by their posters during their assigned session.
Food and beverage will be provided and posters will be reviewed for poster prizes! These sessions provide a great opportunity to network and are a great prelude to dinner in downtown Salt Lake City!
6 2015 SIAM Conference on Computational Science and Engineering
2015 SIAM Conference on Computational Science and Engineering 7
To Our Conference Sponsors,
Thank You!
Welcome Reception
Student Careers Panel
Gold sponsor
Academic sponsor
General sponsor
Gold sponsor
8 2015 SIAM Conference on Computational Science and Engineering
Invited Plenary Speakers
** All Invited Plenary Presentations will take place in the Salt Palace Convention Center – Room 355, Level 3**
Saturday, March 149:00 AM - 9:45 AM
IP1 Graph Data Analytics at Scale: Opportunities and ChallengesNagiza Samatova, North Carolina State University and Oak Ridge National Laboratory, USA
1:30 PM - 2:15 PM IP2 Model Reduction - Trouble with Scales?
Wolfgang Dahmen, RWTH Aachen, Germany
Sunday, March 158:15 AM - 9:00 AM
IP3 Petascale Finite Element Simulation of Real World’s Complex Structure with Billions DOFs Model
Shinobu Yoshimura, University of Tokyo, Japan
11:20 AM - 12:05 PM IP4 Extreme-scale Multigrid in Space and Time
Robert Falgout, Lawrence Livermore National Laboratory, USA
2015 SIAM Conference on Computational Science and Engineering 9
Invited Plenary Speakers
** All Invited Plenary Presentations will take place in the Salt Palace Convention Center – Room 355, Level 3**
Monday, March 168:15 AM - 9:00 AM
IP5 Statistical and Computational Challenges of Constraining Greenhouse Gas BudgetsAnna Michalak, Carnegie Institution for Science and Stanford University, USA
11:20 AM - 12:05 PM IP6 Scaling Open Systems for Future Computational Challenges
Will Schroeder, Kitware, Inc., USA
Tuesday, March 178:15 AM - 9:00 AM
IP7 A Calculus for the Optimal Quantification of UncertaintiesHouman Owhadi, California Institute of Technology, USA
11:50 AM - 12:35 PM IP8 The Power of Matrix and Tensor Decompositions in Smart Patient Monitoring
Sabine Van Huffel, Katholieke Universiteit Leuven, Belgium
Wednesday, March 188:15 AM - 9:00 AM
IP9 Implications of Numerical and Data Intensive Technology Trends on Scientific Visualization and Analysis
James Ahrens, Los Alamos National Laboratory, USA
10 2015 SIAM Conference on Computational Science and Engineering
Symposium
Saturday, March 14
NSF-SIAM Symposium on Mathematical and Computational Aspects of Materials Science
Part I (MS14): 10:15-11:55 AM
Part II (MS40): 2:25-4:05 PM
Part III (MS65): 4:35-6:15 PM
Room: 251 EThe materials science community has embarked on various large-scale computational projects. We mention the materials
genome project---a broad survey of thousands of materials---and several deep-mining projects of a few selected materials.
These projects offer interesting opportunities for mathematical and computational scientists to advance the state of the art
in materials research by developing mathematical models, computational algorithms, and tools for data analysis. The Divi-
sion of Materials Research (DMR) and Division of Mathematical Sciences (DMS) of the National Science Foundation are
encouraging collaborations of mathematicians and materials scientists through several mechanisms (MSII, DMREF, etc.).
The speakers in this symposium will highlight opportunities for joint research projects.
Organizer: Hans G. Kaper, Argonne National Laboratory and Georgetown University, USA
Speakers:
MS14
Kaushik Bhattacharya, California Institute of Technology, USA
Carme Calderer, University of Minnesota, USA
George Crabtree, Argonne National Laboratory, USA
Marta Lewicka, University of Pittsburgh, USA
MS40
Robert V. Kohn, Courant Institute of Mathematical Sciences, New York University, USA
Monica Olvera De La Cruz, Northwestern University, USA
Michael Falk, Johns Hopkins University, USA
Long-qing Chen, Pennsylvania State University, USA
MS65
Richard James, University of Minnesota, USA
Sadasivan Shankar, Harvard University, USA
Michael S. Vogelius, Rutgers University, New Brunswick, USA
Mary Galvin-Donoghue, National Science Foundation, USA
2015 SIAM Conference on Computational Science and Engineering 11
Minitutorials
Sunday, March 15
Minitutorial: Python Visual Analytics for Big Data
Part I: 9:10 AM - 10:50 AM
Part II: 1:30 PM - 3:10 PM
Room: 355Python is a powerful development, computational, and programming environment due to the wide variety of libraries de-
veloped for it, and importantly, the enthusiastic, active development and user community. One of the areas where Python
excels is visualization and analysis of big data, due to several high-quality modules for both simple and advanced visual
analytics. This tutorial will cover the following big-data visualization capabilities in Python: interactive plotting with IPy-
thon, matplotlib, and databases, building web visualizations with Bokeh, and Python integration with VTK and ParaView.
Additional information will be provided on mapreduce and NoSQL capabilities. This tutorial is intended for intermediate-
level participants who have a basic understanding of the Python language and development environment (i.e., the student
ought to have an understanding of native (and ideally numpy) data structures, file I/O, and is able to develop and run
simple programs).
Beginner participants are welcome, but Python fundamentals, such as language constructs, “hello world,” and program
execution will not be covered in this tutorial.
Organizer: Jonathan Woodring, Los Alamos National Laboratory, USA
Speakers: Joseph Cottam, Indiana University, USA
Jonathan Woodring, Los Alamos National Laboratory, USA
Andy R. Terrel, Continuum Analytics, USA
Patrick O’Leary, Kitware, Inc., USA
Tuesday, March 17
Minitutorial: Lab Skills for Scientific ComputingPart I: 2:15 PM - 3:55 PM
Part II: 4:25 PM - 6:05 PM
Room: 355
The Software Carpentry project (http://software-carpentry.org) has been teaching basic computing skills to scientists and
engineers since 1998. This minitutorial will introduce the tools and techniques that have proven most useful, and show
how integrating them can help researchers get more done in less time, and with less pain. This two-part minitutorial will
introduce several widely-used practices in software development, explore the empirical evidence showing their benefits (or
in some cases the lack thereof), and describe how researchers and research teams can adopt them. Some of the work will
be hands-on, so participants are strongly urged to bring a laptop. Warning: real-world examples may be used.
Organizer and speaker: Greg Wilson, Mozilla Foundation, USA
12 2015 SIAM Conference on Computational Science and Engineering
Featured MinisymposiaSaturday, March 14
MS27 Featured Minisymposium: Fast Multipole Methods Maturing at 30 Years2:25 PM - 4:05 PM Room: 355In the last five years or so, research on fast multipole methods has been buzzing and it seems that finally this “top-10” algorithm may be reaching its potential. The mathematicians have always continued making progress and improvements, but lately we see many developments in the computer science aspects of implementing the algorithm with high performance, and the applications arena. This featured minisymposium will present leaders in the field discussing the most resent advances and giving perspectives for the future. It will complement several regular minisymposia being presented at the conference.
Organizer: Lorena A. Barba, George Washington University, USASpeakers: Lorena A. Barba, George Washington University, USA George Biros, University of Texas at Austin, USA Richard Vuduc, Georgia Institute of Technology, USA Lexing Ying, Stanford University, USA
MS52 Featured Minisymposium: Modeling and Computing Complex Flows4:35 PM - 6:15 PM Room: 355Computation of unsteady multifluid flows is one of the more challenging problems in computational science. Nevertheless, consider-able progress has been made in the development of numerical methods to follow the convoluted motion of complex interfaces sepa-rating different fluid phases, for a broad range of governing parameters. These successes are making it possible to pursue even more advanced problems, including additional physics and even large range of scales, as well as making it urgent to develop sophisticated models that take advance of the new data. In this minisymposium we will explore the state of the art and discuss future challenges.
Organizer: Gretar Tryggvason, University of Notre Dame, USASpeakers: Gretar Tryggvason, University of Notre Dame, USA Marianne M. Francois, Los Alamos National Laboratory, USA Marcus Herrmann, Arizona State University, USA Olivier Desjardins, Cornell University, USA
Sunday, March 15
MS104 Featured Minisymposium: Distributed Methods for Optimization1:30 PM - 3:10 PM Room: 355 ARecent advances in data collection, collaborative filtering, and wireless technology have lead to an unprecedented growth in demand for distributed optimization problems with huge data sets. The resulting optimization problems are characterized by distributed and uncertain information, necessitating computations to be done in a non-traditional environment, with imperfect information, over a communication network, and most importantly without a central entity that has an access to the whole information. This minisympo-sium focuses on most recent optimization techniques dealing with large data sets and distributed components over possibly uncertain networks.
Organizer: Wotao Yin, University of California, Los Angeles, USASpeakers: Angelia Nedich and Alexander Olshevsky, University of Illinois at Urbana-Champaign, USA Wotao Yin, University of California, Los Angeles, USA Ermin Wei, Massachusetts Institute of Technology, USA Mengdi Wang, Princeton University, USA
2015 SIAM Conference on Computational Science and Engineering 13
Featured MinisymposiaMonday, March 16
MS156 Featured Minisymposium: Physics-compatible Numerical Methods1:30 PM - 3:10 PM Room: 355 Recent advances in data collection, collaborative filtering, and wireless technology have lead to an unprecedented growth in demand Physics-compatible numerical methods are methods that aim to preserve key mathematical and physical properties of continuum physics models in their finite-dimensional algebraic representations. They include methods which preserve prop- erties such as energy, monotonicity, maximum principles, symmetries, and involutions of the continuum models. Examples are mimetic methods for spatial discretizations, variational and geometric integrators, conservative finite-volume and finite- element methods, etc. Research on phys-ics-compatible numerical methods is rapidly becoming a major research thrust across multiple disciplines within the broader area of computational science and engineering. Our principal goal in arranging this minisymosium is to give samples of this flourishing field.
Organizer: Mikhail Shashkov, Los Alamos National Laboratory, USASpeakers: Mikhail Shashkov, Los Alamos National Laboratory, USA Jim E. Morel, Texas A&M University, USA Allen C. Robinson, Sandia National Laboratories, USA Andrew J. Barlow, Atomic Weapons Establishment, United Kingdom
Tuesday, March 17
MS182 Featured Minisymposium: CSE Software10:00 AM - 11:40 AM Room: 355 AThis featured minisymposium reflects recent progress with tools and techniques for developing, adapting, using, and testing CSE software. The first talk addresses an eco system of computational tools for increased efficiency and reliability of scientific workflows. The next talk presents a software framework in C++, MOOSE, which simplifies building advanced multiphysics models. Another talk explains how domain specific languages for PDEs in Python allow automatic generation of adjoint models in C++ with high perfor-mance. Finally, the recent Julia language is presented, which combines the expressiveness and convenience of MATLAB/Python with the speed of Fortran/C.
Organizer: Hans Petter Langtangen, Simula Research Laboratory and University of Oslo, Norway Speakers: Derek R. Gaston, Idaho National Laboratory, USA Patrick E. Farrell, University of Oxford, United Kingdom Stephan Karpinski, Massachusetts Institute of Technology, USA Fernando Perez, University of California, Berkeley, USA
Wednesday, March 18
MS255 Featured Minisymposium: Big Data Analytics10:55 AM - 12:35 PM Room: 355Big data analytics has become a new paradigm for decision making and knowledge discovery. This minisymposium highlights four major topics, urban, graph, biomedical, and scientific data analytics in this area. Urban data analytics harvest the vast amount of data collected from smart devices and networks to improve the life of citizens. Graphs are used to model relationships between entities and hence play a central role in big data analytics. Biomedical data analytics use data-driven approaches to enable discovery and find new medical cures. Scientific data analytics assists scientists to extract knowledge from simulations aiming to solve grand challenge problems.
Organizer: Han-Wei Shen, The Ohio State University, USA Speakers: Claudio T. Silva, New York University, USA Miriah Meyer, University of Utah, USA Peterka Tom, Argonne National Laboratory, USA Han-Wei Shen, The Ohio State University, USA
14 2015 SIAM Conference on Computational Science and Engineering
Panels
Saturday, March 14
12:15 PM - 1:30 PM Student Careers Panel Sponsored by KAUSTRoom: 355 DThe panelists will present an overview of careers in CSE in Academia, Industry and National Laboratories. The session will begin with brief presentations by the panelists, followed by an open discussion and question period with students in the audience. Lunch will be provided. Attendance is limited to current undergraduate and graduate students. Advance sign up is requested during the registration process. If you did not register, but wish to attend, please see a SIAM staff member at the Registration Desk.Organizers: Evrim Acar, University of Copenhagen, Denmark William G. Kolata, SIAM, USA Patrick O’Leary, Kitware, Inc., USAPanelists: Tom Grandine, The Boeing Company, USA David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia Cynthia Phillips, Sandia National Laboratories, USA Jeffrey Saltzman, AstraZeneca, USA
Sunday, March 15
Ask The Program Manager: Funding12:15 PM - 1:30 PMRoom:355 DProgram managers from government agencies receive many requests for research funding. What are they really seeking? What makes a research proposal stand out? How can you build a research program that is attractive to these agencies? How can you conduct your research to make the biggest impact and increase your chances of future funding? What opportunities are presently available? We address all these questions and more as a part of this panel discussion. Organizers: Hank Childs, Lawrence Berkeley National Laboratory and University of Oregon, USA Vincent Heuveline, Heidelberg University, GermanyPanelists: To Be Announced
Monday, March 16
The Future of CSE as a Discipline12:15 PM - 1:30 PMRoom:355 DOver the past two decades Computational Science and Engineering (CSE) has penetrated the academy, with prominent roles in advancing research and providing interdisciplinary education. However, a combination of disruptive developments -- including extreme-scale computing, big data, and a significant diversification of the applications of CSE in science, technology, and society -- is redefining the scope and reach of CSE. This forward-looking panel will explore the future of CSE in a broad academic context. What new “grand challenges” may drive progress in CSE? How can CSE shape the future of new application fields such as computational medicine and biology, computational geoscience, and materials science? Are there opportunities to extend CSE to new areas such as social network analysis, cybersecurity and the social sciences, with mathematics-based large-scale computing rapidly becoming of crucial importance in almost all areas of society? Is the CSE paradigm and focus sufficiently unique and significant to warrant separate programs, graduate degrees, academic departments, and funding streams?
Organizer: David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia
Panelists: Lorena A. Barba, George Washington University, USA Wolfgang Marquardt, RWTH Aachen University, Germany J. Tinsley Oden, University of Texas at Austin, USA Padma Raghavan, Pennsylvania State University, USA Ed Seidel, University of Illinois at Urbana-Champaign, USA
2015 SIAM Conference on Computational Science and Engineering 15
Panels
Tuesday, March 17
Data Science: What is It and How to Teach It12:45 PM - 2:15 PM Room:355 ARecently, the term Big Data has become ubiquitous. People who can wrangle Big Data are called Data Scientists. According to a num-ber of sources, there is a growing need for people trained as Data Scientists. But what is Data Science? Is Data Science its own field or is it an interdisciplinary mix of Computer Science, Mathematics and Statistics, and Domain Knowledge or perhaps it is really what Statisticians have been doing all along? Since data science at scale involves large-scale computation, what is the relation between data science and computational science in research and education? This panel features leaders in Data Science and Computational Science to discuss the current and future status of Data Science, its relationship to Computational Science, opportunities for Data and Compu-tational Scientists and educating future Data Scientists. Organizers: Christopher Johnson, University of Utah, USA Jeff Phillips, University of Utah, USAPanelists: To Be Announced
Thinking of Writing a Book?12:45 PM - 2:15 PMRoom:355 D
Ever thought about writing a book? Ever wondered just what that entails? This session brings together successful authors and publish-ing staff to discuss the process. Topics of interest will include: • Why and when you should consider writing a book • A step-by-step description of the process, from initial idea to published book • How to choose a publisher • The author/publisher relationship – who does what • Pitfalls to avoid • Tips from successful authors Even if you aren’t currently thinking of becoming an author, this session promises to be lively and engaging!
Organizer: Nicholas J. Higham, University of Manchester, United Kingdom
Panelists: Daniela Calvetti, Case Western Reserve University, USA Eldad Haber, University of British Columbia, Canada Ralph C. Smith, North Carolina State University, USA Elizabeth Greenspan, SIAM, USA David Marshall, SIAM, USA
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Career Fair: Alternatives to Academia
Saturday, March 14
Session 1 10:15-11:55 AMSession 2 2:25-4:05 PMSession 3 4:35-6:05 PMRoom: 255
The career fair will feature representatives from nonacademic employers from industry and government. These representatives will be prepared to discuss with you the opportunities for internships, postdoctoral appointments and full-time jobs at their organizations.
The career fair will feature one morning and two afternoon sessions during which you will have the opportunity to speak with the representatives of the participating organizations. In addition to these sessions, there will be Student Careers Panel over lunch and Professional Development sessions and reception in the evening.
SIAM is pleased to share the list of organizations that will participate. This list is current at time of printing. The most up to date list of participants can be found at http://www.siam.org/meetings/cse15/career.php.
• Argonne National Laboratory• Boeing• Hewlett-Packard Laboratories • Kitware• Lawrence Berkeley National Laboratory• Lawrence Livermore National Laboratory • MathWorks• MIT Lincoln Laboratory• National Institute of Standards & Technology• NSA• NVIDIA• Oak Ridge National Laboratory• Quantlab
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Professional Development Evening
Saturday, March 14
Interdisciplinary Research: Challenges and Opportunities
6:30 -9:30 PM
Room: 355D
6:30 PM - 7:30 PM
Getting Started with Interdisciplinary Research
Join us for an evening devoted to developing and sustaining a successful interdisciplinary research program. Several professionals from academia, government, and industry will share their perspective on challenges and rewards of an interdisciplinary research, train-ing opportunities for students and early career researchers, how to identify open problems and find common language with colleagues in a different field and funding opportunities among other topics.
The target audience for this event includes early career professionals (i.e., less than five years past last degree), postdocs, and students. However, we are also encouraging participation from the senior professional community during the networking session.
Organizers: Maria Emelianenko, George Mason University, USA Cammey Cole Manning, Meredith College, USA Sven Leyffer, Argonne National Laboratory, USA Panelists: Richard Braun, University of Delaware, USA Thomas A. Grandine, The Boeing Company, USA C.T. Kelley, North Carolina State University, USA Carol S. Woodward, Lawrence Livermore National Laboratory, USA 7:30 PM - 8:30 PM Networking Reception
8:30 PM - 9:30 PM Interdisciplinary Research: Sustaining a Successful Program
Join us for an evening devoted to developing and sustaining a successful interdisciplinary research program. Several professionals from academia, government, and industry will share their perspective on challenges and rewards of an interdisciplinary research, train-ing opportunities for students and early career researchers, how to identify open problems and find common language with colleagues in a different field and funding opportunities among other topics.
The target audience for this event includes early career professionals (i.e., less than five years past last degree), postdocs, and students. However, we are also encouraging participation from the senior professional community during the networking session.
Organizers: Maria Emelianenko, George Mason University, USA Cammey Cole Manning, Meredith College, USA Sven Leyffer, Argonne National Laboratory, USA
Panelists: Fariba Fahroo, Air Force Office of Scientific Research, USA Omar Ghattas, University of Texas at Austin, USA Jeffrey A. Hittinger, Lawrence Livermore National Laboratory, USA Wil Schilders, Eindhoven University of Technology, Netherlands
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Student DaysOrganized by the SIAM Education Committee, Chaired by Rachel Levy, Harvey Mudd College
This annual event is being held at CSE15 because there is no 2015 Annual Meeting. Student Days are for students and about students. Organizers have arranged for activities and sessions where students can meet with both peers and professionals in their field, participate in a career fair, attend an information session on hot areas for jobs and research, and network with SIAM Student Chapters from all over the world.
GoalsOrganized by the SIAM Education Committee (Chaired by Rachel Levy, Harvey Mudd College), Student Days are designed to encourage student participation in SIAM, help students learn more about applied mathematics and computational science as both fields of study and as careers, and provide a forum for emerging mathematicians to learn about their field from professionals. Organizers also hope to encourage those in the learning community to establish new student chapters of SIAM and to promote interaction between students and SIAM leadership.
Events and HappeningsActivities that will enhance the meeting for students include a special orientation prior to Friday’s Welcome Reception, a career panel and full day career fair featuring non-academic employers on Saturday, professional development sessions and reception Saturday evening, presentations by student chapter representatives on Sunday, a student lounge, sessions on Undergraduate Research on Monday, poster blitz and posters sessions on Monday and Tuesday, and a session for students with selected conference invited speakers on Tuesday.
Student Days Schedule and Other Activities of Interest to StudentsFRIDAY, MARCH 13 5:00 PM - 6:00 PM Student Orientation (Hilton Hotel)6:00 PM - 8:00 PM Welcome Reception (Hilton Hotel)
SATURDAY, MARCH 14 8:15 AM - 8:30 AM Opening remarks 8:30 AM - 9:00 AM Celebrating 15 years of SIAG/CSE 10:15 AM - 11:55 AM Career Fair 12:15 PM - 1:30 PM PD1 Student Careers Panel lunch 2:25 PM - 4:05 PM Career Fair 4:35 PM - 6:15 PM Career Fair 6:30 PM - 7:30 PM Professional Development session: Getting Started with Interdisciplinary Research 7:30 PM - 8:30 PM Professional Development reception 8:30 PM - 9:30 PM Professional Development session: Interdisciplinary Research: Sustaining a Successful Program
SUNDAY, MARCH 15 7:00 AM - 8:00 AM Student Chapter meeting with SIAM Leadership (by invitation only) 9:30 AM - 4:30 PM Visit the student lounge in Room 255 9:10 AM - 10:50 PM MS94 Student Days: SIAM Student Chapter Presentations - Part I of II1:30 PM - 3:10 PM MS119 Student Days: SIAM Student Chapter Presentations - Part II of II 3:10 PM - 4:30 PM Poster Blitz 4:30 PM - 6:30 PM Poster Session
MONDAY, MARCH 16 9:10 AM - 10:50 AM MS146 Student Days: Undergraduate Sessions - Part I of II 9:30 AM - 4:30 PM Visit the student lounge in Room 255 1:30 PM - 3:10 PM MS172 Student Days: Undergraduate Sessions - Part II of II 3:10 PM - 4:30 PM Poster Blitz 4:30 PM - 6:30 PM Poster Session
TUESDAY, MARCH 17 10:00 AM - 11:40 AM MS198 Student Days: Combining Disciplines, Techniques, Faculty and Students to Tackle Protein Folding 4:25 PM - 6:05 PM MS247 Student Days: An Informal Meeting with invited speakers
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2015 SIAM Conference on Computational Science and Engineering 21
Workshop Celebrating DiversityOrganizers: Raegan Higgins, Texas Tech University, USA Susan E. Minkoff, University of Texas at Dallas, USA Stephen A. Wirkus, Massachusetts Institute of Technology, USA
This annual event is being held at CSE15 this year because there is no 2015 Annual Meeting. The Workshop provides a chance for students to listen to technical talks presented by minority graduate students. The workshop is intended to accomplish sev-eral goals:
To send a clear, explicit message of enthusiastic welcome and support from SIAM to members of underrepresented groups. The workshop is deliberately held as part of a regular SIAM meeting so that the participants can combine the experiences of attending a regular scientific meeting and a special occasion dedicated to them.
To bring together a mixture of people from different levels of age and professional experience, ranging from under graduate students to senior scientists.
To provide an opportunity for minority graduate students to present their research.
To provide an informal, comfortable setting (a lunch) where all the students can meet applied and computational mathematicians with a wide variety of jobs in academia, national laboratories, industry, and government.
SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation for its support of the Workshop Celebrating Diversity.
Workshop Celebrating Diversity Sessions
MS86 Computational Advances in Energy ResearchMS113 Fluid Transport Dynamics in Biology and MedicineMS140 Modern Computational Modeling in FluidsMS166 Computational Science for Current Multidisciplinary Research ProblemsMS192 The System Dynamics of Social and Health Processes using Quantitative Data Sciences MethodsMS216 Water Resources Management: How to Add it All Up
Association for Women in Mathematics (AWM) Workshop
The Workshop for Women Graduate Students and Recent P.h.D.’s. Please visit http://www.awm-math.org/workshops.html for more information.
AWM SessionsMS13 Career Development: Celebrating Firsts - Lessons from Trailblazers, First Ones, and Only OnesMS39 Career Development: Celebrating Firsts - Panel and RoundtableMS89 Research Talks by Recent Ph.D’s: Mathematical Modeling and High-Performance Computing for Multiscale and Multiphysics Problems - Part I of IIMS114 Research Talks by Recent Ph.D.s: Mathematical Modeling and High-performance Computing for Multi-physics and Multi-scale Problems. Part II of IIPP8 AWM Poster Session (Sunday)
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2015 SIAM Conference on Computational Science and Engineering 23
Mentoring Program
SIAM CSE15 - Broader Engagement Pilot Mentoring ProgramThe Society of Industrial and Applied Mathematics (SIAM) and Sustainable Horizons Institute are pleased to announce a pilot mentoring program at the 2015 SIAM Conference on Computational Science and Engineering (CSE15). CSE15 is planning a variety of activities to celebrate and sup-port a diverse community. These activities include the Workshop Celebrating Diversity, Professional Development Evening, Association of Women in Mathematics activities, Student Days, Student Careers Panel, and Job Fair. In addition, there will be a mentoring program for a small cohort of CSE15 students, faculty, and professionals.
Mentor Protégé Program at CSE15There is irrefutable and growing evidence that mentoring promotes academic and career success, especially among those traditionally underrepre-sented in CSE. Our vision for the Mentor Protégé program is to influence career and professional development long after the conference concludes. The CSE15 Mentor Protégé program includes the following components:• A limited number of Protégés will be recruited from the Workshop Celebrating Diversity and other conference attendees.• Mentors will be recruited from CSE15 attendees and others known to be active in the SIAM and Broader Engagement (BE) communities.• A brief welcome and orientation for Protégés will occur on Friday, March 13, 2015 (Hilton Hotel, Room: Canyon A/B).• An initial mentor-protégé introduction/mixer will occur Saturday March 14, 2015 (Salt Palace Convention Center, Room 255).• A mentoring activity will occur during the Workshop Celebrating Diversity luncheon on Tuesday, March 17, 2015.
Benefits• Protégés will benefit from the opportunity to connect with seasoned professionals, get advice, and explore their questions about academic,
career, and professional pathways.• Mentors will benefit from the opportunity to give back to the community, influence others, and discover and share their own techniques and
aspirations.
Mentor Protégé Matching Process and ResponsibilitiesMentors and Protégés will be matched utilizing demographic and other information about scientific, professional, and personal interests. Mentor-Protégé pair introductions will occur electronically prior to the conference and in-person during the first event on Saturday.
Mentors and Protégé responsibilities include participation in the introduction event on Saturday and the luncheon activity on Tuesday. Optional ad-ditional activities will be suggested, such as mentors’ agenda review and session recommendations for their protégés to consider, joint attendance, one-on-one meetings, and continued contact after the conference.
Mentor Protégé Tuesday Lunch ActivityThe Workshop Celebrating Diversity luncheon will provide an excellent opportunity to formally discuss mentoring, suggest activities, and help to establish meaningful mentoring relationships. The luncheon will include a mentoring workshop based on the “Pathways to Success” Workshop: exploring challenges and identifying resources to help people create a vision of success for themselves. If you have any questions about the Mentoring Program, contact: Mary Ann Leung, mleung@shinstitute.org.
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2015 SIAM Conference on Computational Science and Engineering 25
Program Schedule
26 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
Registration7:15 AM-5:00 PMRoom:East Foyer
Opening Remarks8:15 AM-8:30 AMRoom:355
Friday, March 13
Registration1:00 PM-5:00 PMRoom:East Foyer
Mentoring Session4:00 PM-5:00 PM
Room:Hilton Hotel - Canyon AB
Student Orientation5:00 PM-6:00 PM
Room:Hilton Hotel - Topaz
Welcome Reception6:00 PM-8:00 PMRoom:Hilton Hotel - Grand Ballroom
Saturday, March 14
SP1Celebrating 15 Years of SIAM CSE8:30 AM-9:00 AMRoom:355
Chair: Christopher Johnson, University of Utah, USA
There can be no doubt that SIAM CSE has been a big success! We examine the growth of CSE in SIAM, and more broadly as a discipline, and look toward some of the challenges and opportunities for the future.
Linda R. Petzold, University of California, Santa Barbara, USA
2015 SIAM Conference on Computational Science and Engineering 27
Saturday, March 14
MS1Network Science10:15 AM-11:55 AMRoom:355
Network science is the study of the graphs and networks that arise from current investigations in social networks, biology, power systems, information retrieval, and neuroscience. The goal of this minisymposium is to highlight new developments in this field in terms of algorithms, models, and applications. In particular, the talks will discuss understanding communication patterns in the brain via networks, statistical properties of large-scale heterogenous networks, influencing social networks, and local analysis of massive networks.
Organizer: David F. GleichPurdue University, USA
Organizer: Tamara G. KoldaSandia National Laboratories, USA
10:15-10:35 Local Methods in Network ScienceDavid F. Gleich, Purdue University, USA
10:40-11:00 Identifying the Largest Entries in Matrix MultiplicationGrey Ballard, Tamara G. Kolda, and Ali
Pinar, Sandia National Laboratories, USA; C. Seshadhri, University of California, Santa Cruz, USA
11:05-11:25 Network Science of Brain NetworksZoltan Toroczkai, University of Notre Dame,
USA
11:30-11:50 Mining Uncertain NetworksEvamaria Terzi, Boston University, USA
Saturday, March 14
IP1Graph Data Analytics at Scale: Opportunities and Challenges9:00 AM-9:45 AMRoom:355
Chair: Hans De Sterck, University of Waterloo, Canada
The four V’s of Big Data necessitate fundamentally different data analytics. A promising strategy toward understanding of a complex system’s dynamics and function aims to extract features and relationships between them and to analyze how their evolution causes different functional system responses. Discovery and forecasting of patterns in such feature graphs can provide insights about the vulnerability of our nation’s energy infrastructure to disturbances, the spread of a cyber-security attack, or the anomalies in internode communication in high performance systems. This talk will present some opportunities and challenges in using this strategy for computational science and engineering applications.
Nagiza SamatovaNorth Carolina State University and Oak Ridge National Laboratory, USA
Coffee Break9:45 AM-10:15 AMRoom:255
Saturday, March 14
MS2Data-methods for Complex Systems - Part I of III10:15 AM-11:55 AMRoom:355 A
For Part 2 see MS28 Data-driven methods are transforming the engineering, physical and biological sciences. Indeed, innovative uses of machine learning, dimensionality reduction, sparse sensing, and/or network characterization techniques are allowing for significant advances in engineering designs for the prediction and control of highly complex, often networked, systems. This minisymposium brings together experts who are integrating together one or more of the aforementioned methodologies with the goal of providing transformative analytic tools and algorithms for characterizing the underlying, low-dimensional, dynamics of the complex system.
Organizer: J. Nathan KutzUniversity of Washington, USA
Organizer: Steven BruntonUniversity of Washington, USA
Organizer: Joshua ProctorInstitute for Disease Modeling, USA
10:15-10:35 Self-Tuning Complex SystemsJ. Nathan Kutz, University of Washington,
USA
10:40-11:00 Cluster-based Reduced-order Modelling: From Shear Flows to Engine Tumble MotionEurika Kaiser, Bernd R. Noack, and Laurent
Cordier, CNRS, France; Andreas Spohn, ENS, France; Marc Segond and Markus W Abel, Ambrosys GmbH, Germany; Guillaume Daviller, CERFACS, France; Jan Östh and Sinisa Krajnovic, Chalmers University of Technology, Sweden; Yujun Cao and Jacques Boree, ENSMA, France; Robert K. Niven, University of New South Wales, Australia; Louis N. Cattafesta, Florida State University, USA
continued on next page
28 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS2Data-methods for Complex Systems - Part I of III10:15 AM-11:55 AMcontinued
11:05-11:25 The Impact of L1 optimization in Nonlinear PDEStanley J. Osher, University of California, Los
Angeles, USA
11:30-11:50 Title Not Available at Time of PublicationRichard G. Baraniuk, Rice University, USA
Saturday, March 14
MS3Geometric Methods for Graph Partitioning - Part I of II10:15 AM-11:55 AMRoom:355 D
For Part 2 see MS29 The graph partitioning problem of finding meaningful clusters in a dataset has a variety of important applications in areas such as machine learning, image analysis, and topic modeling. A variety of new methods have recently been introduced based on ideas from geometric analysis, compressive sensing, spectral graph theory, and nonlinear partial differential equations. This minisymposium aims to bring together mathematicians and scientists working on these methods to share new results and exchange ideas.
Organizer: Braxton OstingUniversity of Utah, USA
Organizer: Dominique ZossoUniversity of California, Los Angeles, USA
10:15-10:35 Modulus of Families of Walks on GraphsNathan Albin, Kansas State University, USA
10:40-11:00 Graph Directed Topic ModelingArjuna Flenner, Naval Air Weapons Station,
USA; Cristina Garcia-Cardona, Los Alamos National Laboratory, USA
11:05-11:25 Building Graphs to Analyze Big DataBlake Hunter, Claremont McKenna College,
USA
11:30-11:50 An Incremental Reseeding Strategy for ClusteringThomas Laurent, Loyola Marymount
University, USA
Saturday, March 14
MS4Adaptive Model Order Reduction - Part I of III10:15 AM-11:55 AMRoom:250 A
For Part 2 see MS30 Classical model reduction follows a static approach where the reduced-order model is built once in the offline phase and then remains unchanged in the online phase. Adaptive model reduction breaks with this rigid splitting and adapts the reduced order model online. Such adaptive techniques include localization approaches, where one of several pre-computed local models is selected depending on the current state of the system; dictionary approaches, where the reduced basis is assembled on demand from pre-computed basis vectors; and updating methods, which incorporate new data or other information in the reduced-order model.
Organizer: Benjamin PeherstorferMassachusetts Institute of Technology, USA
Organizer: David AmsallemStanford University, USA
10:15-10:35 Online-Adaptive Reduced Bases for Parametric ProblemsBernard Haasdonk, University of Stuttgart,
Germany
10:40-11:00 Adaptive $h$-refinement for Reduced-order Models via Basis SplittingKevin T. Carlberg, Sandia National
Laboratories, USA
11:05-11:25 A Nonlinear Trust Region Framework for PDE-Constrained Optimization Using Progressively-Constructed Reduced-Order ModelsMatthew J. Zahr, University of California,
Berkeley and Stanford University, USA; Charbel Farhat, Stanford University, USA
11:30-11:50 Local/Global Model Order Reduction Techniques for FracturePierre Kerfriden, Cardiff University, United
Kingdom
2015 SIAM Conference on Computational Science and Engineering 29
Saturday, March 14
MS7Active Subspaces for Dimension Reduction: Theory and Applications - Part I of III10:15 AM-11:55 AMRoom:250 D
For Part 2 see MS33 Parameter studies like uncertainty quantification and optimization are infeasible for complex simulations with more than a handful of inputs. When a simulation contains several inputs, the engineer may seek an alternative parameterization with fewer variables to enable such studies. Active subspaces are an emerging set of tools for dimension reduction in complex models. The active subspace is a set of directions in the space of input variables that correspond to greater change, on average, in a quantity of interest. This minisymposium will explore (i) recent developments in algorithms that exploit active subspaces and (ii) applications from across engineering disciplines.
Organizer: Paul ConstantineColorado School of Mines, USA
10:15-10:35 Active Subspaces in Theory and PracticeEric Dow, Massachusetts Institute of
Technology, USA
10:40-11:00 Envelopes: Subspace Methods for Efficient Estimation in Multivariate StatisticsDennis Cook, University of Minnesota, USA
11:05-11:25 Order Determination for Dimension Reduction Using An Alternating Pattern of Spectral VariabilityBing Li and Wei Luo, Pennsylvania State
University, USA
11:30-11:50 Mathematical Foundations of Subspace SelectionsMassimo Fornasier, Technical University
of Munich, Germany; Valeriya Naumova, Simula Research Laboratory, Norway
Saturday, March 14
MS6Computational Techniques for Time Dependent Coupled Multiphysics and Multiscale Problems - Part I of III10:15 AM-11:55 AMRoom:250 C
For Part 2 see MS32 The simulation of multiphysics and multiscale systems is important for a wide range of applications including fluid structure interaction and conjugate heat transfer. Of particular interest is the formulation of solvers built by reusing codes for the various subproblems for which it is common to use ad hoc coupling or time integration schemes. This minisymposium discusses new and practical approaches to advance the state of the art, and to help bridge the gap between researchers working in the various fields. Important aspects include time adaptivity, high order methods, multirate schemes, stability, coupling conditions, and the overall solver performance.
Organizer: Jeffrey W. BanksRensselaer Polytechnic Institute, USA
10:15-10:35 Multirate GARK SchemesMichael Guenther, Bergische Universität,
Germany; Adrian Sandu, Virginia Tech, USA
10:40-11:00 The Dirichlet-Neumann Iteration and Unsteady Thermal Fluid Structure InteractionPhilipp Birken and Azahar Monge Sanchez,
Lund University, Sweden
11:05-11:25 Partitioned Fluid-Structure Interaction on Massively Parallel SystemsFlorian Lindner and Miriam Mehl,
Universität Stuttgart, Germany; Benjamin Uekermann, Technische Universität München, Germany
11:30-11:50 Multi-level Acceleration of Strongly Coupled Fluid-structure Interaction with Manifold MappingDavid Blom, Alexander H. van Zuijlen,
and Hester Bijl, Delft University of Technology, Netherlands
Saturday, March 14
MS5State-of-the-art Iterative Solvers for Inverse Problems - Part I of II10:15 AM-11:55 AMRoom:250 B
For Part 2 see MS31 Efficient linear solvers are a critical component in the large-scale implementations of algorithms for inverse problems. Examples include solvers for the Newton/Gauss-Newton step and solving the discretized PDEs which comprise the “forward problem”. This session will focus on advances in iterative solvers and preconditioners for linear and nonlinear inverse problems. Applications of the algorithms include diverse areas ranging from medical imaging to environmental sciences.
Organizer: Arvind SaibabaTufts University, USA
Organizer: Misha E. KilmerTufts University, USA
Organizer: Eric MillerTufts University, USA
10:15-10:35 A Bound-Plus-Equality Constrained Quadratic Minimization Algorithm for Inverse ProblemsJohnathan M. Bardsley, University of Montana,
USA; Marylesa Howard, National Security Technologies, LLC, USA
10:40-11:00 Statistically Motivated Preconditioners and Stopping Criteria for Biomedical Inverse Problems
Daniela Calvetti and Erkki Somersalo, Case Western Reserve University, USA
11:05-11:25 Numerical Implementation of a New Class of Forward-Backward-Forward Diffusion Equations for Image RestorationJames V. Lambers, University of Southern
Mississippi, USA; Patrick Guidotti, University of California, Irvine, USA; Yunho Kim, Ulsan National Institute of Science and Technology, South Korea
11:30-11:50 Recycling Krylov Subspaces for Parametric Linear Systems Arising from Hyperspectral Diffuse Optical TomographyArvind Saibaba, Misha E. Kilmer, and Eric
Miller, Tufts University, USA
30 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS9Matrix-Free Methods for Large-Scale Optimization and Applications10:15 AM-11:55 AMRoom:250 F
For Part 2 see MS35 Many applications can be formulated as large-scale optimization problems, including inverse problems, medical and seismic imaging, classification in machine learning, data assimilation in weather prediction, and matrix decompositions. For all of them, explicit modeling is prohibitive and matrix-free methods are essential for competitive performance. First-order methods have proven widely successful in recent years. However, recent developments suggest that matrix-free second-order methods, such as interior-point methods, can be competitive. The goal of the minisymposium is to explore those ideas, compare to first-order methods, and promote further research and collaboration between the optimization and applied communities in developing large-scale matrix-free methods.
Organizer: Dominique OrbanÉcole Polytechnique de Montréal, Canada
Organizer: Aleksandr AravkinIBM T.J. Watson Research Center, USA
10:15-10:35 Matrix Free Methods for Large-Scale Nonlinear Constrained OptimizationJames V. Burke, University of Washington,
USA
10:40-11:00 Title Not Available at Time of PublicationMichael Friedlander, University of
California, Davis, USA
11:05-11:25 Anatomy of a Matrix-Free Interior-Point Solver for Convex OptimizationDominique Orban, École Polytechnique de
Montréal, Canada
11:30-11:50 Matrix-Free Interior-Point Method for Large Scale Machine Learning ProblemsAleksandr Aravkin, IBM T.J. Watson
Research Center, USA
Saturday, March 14
MS8Advances in Algorithms for Uncertainty Quantification in Large-scale Inverse Problems - Part I of III10:15 AM-11:55 AMRoom:250 E
For Part 2 see MS34 Quantification of uncertainty in large-scale inverse problems governed by partial differential equations presents significant challenges due to computationally expensive parameter-to-observable maps and high-dimensional parameter spaces. This minisymposium presents recent advances in algorithms that make UQ for large-scale linear and nonlinear inverse problems tractable by exploiting problem structure.
Organizer: Georg StadlerCourant Institute of Mathematical Sciences, New York University, USA
Organizer: George BirosUniversity of Texas at Austin, USA
Organizer: Omar GhattasUniversity of Texas at Austin, USA
Organizer: Youssef M. MarzoukMassachusetts Institute of Technology, USA
10:15-10:35 Conditions for Successful Data Assimilation in High DimensionsMatthias Morzfeld, Lawrence Berkeley
National Laboratory, USA; Alexandre Chorin, University of California, Berkeley, USA
10:40-11:00 Filtering Unstable Quadratic Dissipative SystemsKody Law, King Abdullah University of
Science & Technology (KAUST), Saudi Arabia; Andrew Stuart, Daniel Sanz-Alonso, and Abhishek Shukla, University of Warwick, United Kingdom
11:05-11:25 Ensemble Methods for Large-Scale PDE-Constrained Bayesian Inverse ProblemsKainan Wang and Tan Bui-Thanh, University
of Texas at Austin, USA
11:30-11:50 High Dimensional Non-Gaussian Bayesian Inference with Transport MapsAlessio Spantini and Youssef M. Marzouk,
Massachusetts Institute of Technology, USA
Saturday, March 14
MS10Embedded Boundary and Interface Techniques - Part I of II10:15 AM-11:55 AMRoom:251 A
For Part 2 see MS36 Many problems in science and engineering are modeled by partial differential equations (PDEs) in domains with irregular geometry and/or with interfaces. Development of special algorithms are required to restore the accuracy of the numerical schemes near arbitrary boundaries/or interfaces. Recently, much of the progress has been made for designing highly accurate and efficient numerical methods for such problems which employ only simple Cartesian grids. Developments and applications of XFEM, Immersed Interface Methods and Difference Potentials Methods, as well as open questions in the field will be discussed in details.
Organizer: Yekaterina EpshteynUniversity of Utah, USA
Organizer: Gunilla KreissUppsala University, Sweden
10:15-10:35 Difference Potentials Method for Parabolic Models in Irregular DomainsJason Albright and Yekaterina Epshteyn,
University of Utah, USA
10:40-11:00 Multidimensional Embedded Finite Difference Methods which Satisfies Energy EstimatesAdi Ditkowsky, Tel Aviv University, Israel
11:05-11:25 High-Order Accurate Difference Potentials Methods for the Stokes--Darcy ProblemYekaterina Epshteyn and Kyle R. Steffen,
University of Utah, USA
11:30-11:50 High Order Cut Finite Elements MethodsAugust Johansson, Simula Research
Laboratory, Norway; Mats G. Larson, Umeå University, Sweden
2015 SIAM Conference on Computational Science and Engineering 31
Saturday, March 14
MS12Innovative Algorithms for Eigenvalue and Singular Value Decomposition - Part I of III10:15 AM-11:55 AMRoom:251 C
For Part 2 see MS38 The minisymposium will focuses on the first steps taken on the development of novel software methodologies and algorithm for the next generation of HPC systems. Some scale challenges will be addressed; the goal is to close the “application-architecture peak performance gap” by exploring algorithms and runtime improvements that will enable key science applications to better exploit the architectural features of the extreme-scale systems. The contributed talks will cover new approaches that can overcome the limitations of existing dense/sparse eigensolver libraries on platforms that require fine granularity and memory-aware computational tasks combined with asynchronism in parallel execution.
Organizer: Azzam HaidarUniversity of Tennessee, Knoxville, USA
Organizer: Piotr LuszczekUniversity of Tennessee, Knoxville, USA
Organizer: Stanimire TomovUniversity of Tennessee, Knoxville, USA
10:15-10:35 Efficient Eigensolver Algorithm on Accelerator-Based ArchitectureAzzam Haidar, Piotr Luszczek, and Stanimire
Tomov, University of Tennessee, Knoxville, USA
10:40-11:00 Towards Materials Design with Extreme-Scale Quantum SimulationsThomas C. Schulthess, Anton Kozhevnikov, and
Solcà Raffaele, ETH Zürich, Switzerland
11:05-11:25 GPGPU Acceleration of the Ams Eigensolver Using MagmaMintae Kim, Luis Crivelli, Michael Wood,
Cristian Ianculescu, and Vladimir Belsky, Dassault Systèmes, USA
11:30-11:50 High-Performance Computation of PseudospectraJack L. Poulson, Stanford University, USA
Saturday, March 14
MS13AWM Workshop - Career Development: Celebrating Firsts - Lessons from Trailblazers, First Ones, and Only Ones10:15 AM-11:55 AMRoom:251 D
For Part 2 see MS39 Sponsored by Association for Women in Mathematics (AWM)
The historical awarding of the Fields Medal to a female mathematician reminds us that women in mathematics, engineering, and science continue to break barriers and blaze trails in academia, industry, national laboratories and institutes. What does it take to be the first woman graduate or tenured professor? What does it take to be a trailblazer at the forefront of a research field? What does it take to succeed when you are the only woman in your department? These amazing individuals will share their stories, strategies, and lessons learned as we celebrate the success of past and future firsts.
Organizer: Elebeoba MayUniversity of Houston, USA
Organizer: Hoa NguyenTrinity University, USA
Organizer: Yekaterina EpshteynUniversity of Utah, USA
Speakers To Be Announced
Saturday, March 14
MS11Physics-compatible Discretization on Multiphysics Systems and Efficient Multilevel Solvers - Part I of II10:15 AM-11:55 AMRoom:251 B
For Part 2 see MS37 Design of the appropriate discretization for the PDE systems can oftentimes be done by taking into account the detailed characteristics of the PDE models in relation to the underlying Physics. In many cases, efficient multilevel iterative solvers can be developed based on such discretization. Therefore, such discretization is typically solver-friendly. The minisymposium is to disseminate the state-of-art developments in physics-compatible discretization on multi-physics systems and the corresponding efficient multilevel solvers.
Organizer: Yunrong ZhuIdaho State University, USA
Organizer: Young-Ju LeeTexas State University, USA
10:15-10:35 Robust Multilevel Preconditioners for Elliptic Problems with Discontinuous CoefficientsYunrong Zhu, Idaho State University, USA
10:40-11:00 Finite Element Multigrid Framework for Mimetic Finite Difference DiscretizationsFrancisco José Gaspar, University of
Zaragoza, Spain; Xiaozhe Hu, Tufts University, USA; Carmen Rodrigo, University of Zaragoza, Spain; Ludmil Zikatanov, Pennsylvania State University, USA
11:05-11:25 Adaptive Regularization Strategies for Nonlinear PDESara Pollock, Texas A&M University, USA
11:30-11:50 New Multigrid Methods for Saddle Point ProblemsSusanne Brenner, Louisiana State University,
USA; Hengguang Li, Wayne State University, USA; Li-yeng Sung, Louisiana State University, USA
32 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS14NSF-SIAM Symposium on Mathematical and Computational Aspects of Materials Science - Part I of III10:15 AM-11:55 AMRoom:251 E
For Part 2 see MS40 The materials science community has embarked on various large-scale computational projects. We mention the materials genome project---a broad survey of thousands of materials---and several deep-mining projects of a few selected materials. These projects offer interesting opportunities for mathematical and computational scientists to advance the state of the art in materials research by developing mathematical models, computational algorithms, and tools for data analysis. The Division of Materials Research (DMR) and Division of Mathematical Sciences (DMS) of the National Science Foundation are encouraging collaborations of mathematicians and materials scientists through several mechanisms (MSII, DMREF, etc.). The speakers in this symposium will will highlight opportunities for joint research projects.
Organizer: Hans G. KaperArgonne National Laboratory and Georgetown University, USA
10:15-10:35 Opportunities and Challenges in First Principles Models of MaterialsKaushik Bhattacharya, California Institute of
Technology, USA
10:40-11:00 New Liquid-Crystal Based Models and TechnologiesCarme Calderer, University of Minnesota,
USA
11:05-11:25 Opportunities in Computational Science: Genomes, Mesoscale and Closing the LoopGeorge Crabtree, Argonne National
Laboratory, USA
11:30-11:50 Problems in Pattern Formation, Geometry and Design of MaterialsMarta Lewicka, University of Pittsburgh, USA
Saturday, March 14
MS15Efficient High-order Numerical Methods for Nonlinear PDEs - Part I of II10:15 AM-11:55 AMRoom:251 F
For Part 2 see MS64 Recent years have seen growing trends in the development of efficient high-order numerical schemes for nonlinear PDEs including hyperbolic equations, Hamilton-Jacobi equations, and quantum and kinetic models. Many challenges in computational efficiency, accuracy, multi-scales, and theoretical foundations are actively addressed for various applications. This minisymposium will bring together researchers to exchange ideas and recent developments in these fields, with applications such as rarefied gas dynamics, semi-conductor simulation, optimal transportation and optimal control.
Organizer: Yingda ChengMichigan State University, USA
Organizer: Fengyan LiRensselaer Polytechnic Institute, USA
10:15-10:35 High-order Discontinuous Galerkin Methods for Some Kinetic ModelsFengyan Li, Rensselaer Polytechnic Institute,
USA
10:40-11:00 High Order Semi-Lagrangian Discontinuous Galerkin Schemes for First and Second Order PDEsOlivier Bokanowski, Université Paris-Diderot,
France
11:05-11:25 Convergence of Semi-Discrete Stationary Wigner Equation with Inflow Boundary ConditionsTiao Lu, Ruo Li, and Zhangpeng Sun, Peking
University, China
11:30-11:50 Self-Organized Hydrodynamics in An Annular Domain: Modal Analysis and Nonlinear EffectsHui Yu, Universite de Toulouse, France
Saturday, March 14
MS16Theory, Computation and Experiments in Biofluids - Part I of II10:15 AM-11:55 AMRoom:254 A
For Part 2 see MS42 Over the last two decades the study of systemic biofluids and their interactions with engineering therapeutics and implants has rapidly developed into an interdisciplinary approach of utilizing Mathematics, Bioengineering, Biomedical, and the Biological Sciences to address the complexities and challenges of this field. Eight speakers in this two part minisymposium will present their research spanning mathematical analysis, algorithm development, complex simulations of biological systems and coordination between modeling and experiments. The diversity of these presentations shows the importance of interdisciplinary research on systemic biofluids to understand its wide range of domains from basic processes of fluid dynamics to technological applications.
Organizer: Hoa NguyenTrinity University, USA
Organizer: John CarrolaSouthwest Research Institute, USA
10:15-10:35 Modeling Escherichia Coli Chemotaxis in a FluidHoa Nguyen, Trinity University, USA
10:40-11:00 The Role of Intraclot Transport in the Dynamics of Platelet Deposition and Coagulation Under FlowAaron L. Fogelson, University of Utah,
USA; Karin Leiderman, University of California, Merced, USA
11:05-11:25 Modeling Cardiac Electro-Fluid-Mechanical InteractionBoyce Griffith, University of North Carolina
at Chapel Hill, USA
11:30-11:50 An Integrative Model of Lamprey Locomotion Using the Immersed Boundary MethodChristina Hamlet, Tulane University, USA;
Eric Tytell, Tufts University, USA; Lisa J. Fauci, Tulane University, USA
2015 SIAM Conference on Computational Science and Engineering 33
Saturday, March 14
MS18Advanced Algorithms in Computational Electromagnetics - Part I of II10:15 AM-11:55 AMRoom:254 C
For Part 2 see MS44 The minisymposium focuses on advanced numerical algorithms and high performance simulations for electromagnetic systems, including photonics crystals, plasmonics, solar cells, and quantum electronic devices. Main topics include high-order PDE/ODE discretizations, Green function, integral equation, boundary element method, and density matrix approaches. Scalable algorithms and efficient preconditioning strategies are also discussed for solving large-scale systems on the advanced computing platforms.
Organizer: MiSun MinArgonne National Laboratory, USA
Organizer: David P. NichollsUniversity of Illinois, Chicago, USA
10:15-10:35 Fast Solvers for Wave Propagation and Scattering by General StructuresOscar P. Bruno, California Institute of
Technology, USA
10:40-11:00 Generalized Combined Sources Integral Equations for Helmholtz Transmission ProblemsCatalin Turc, New Jersey Institute of
Technology, USA
11:05-11:25 Scalable Algorithms for Density Matrix Calculations of Cavity Quantum Electrodynamic SystemsMatthew Otten, Cornell University, USA
11:30-11:50 Electromagnetic Power Absorption and Plasmon Resonances on Rough Conducting SurfacesCarlos A. Perez-Arancibia and Oscar P.
Bruno, California Institute of Technology, USA
Saturday, March 14
MS19Computational Methods for Kinetic Equations and Related Models - Part I of V10:15 AM-11:55 AMRoom:150 AB
For Part 2 see MS45 Kinetic descriptions play an important role in a variety of physical, biological, and even social applications. Unfortunately, the large phase space associated with the kinetic description has in the past made simulations impractical in most settings. However, recent advances in computer resources and numerical algorithms are making kinetic models more tractable, and this trend is expected to continue in the future. The purpose of this minisymposium is to report on the continuing progress on numerical analysis and computational science for kinetic equations. It brings together researchers from applied mathematics, computational science, physics, and engineering communities to discuss their work and exchange ideas.
Organizer: Martin FrankRWTH - Aachen University of Technology, Germany
Organizer: Cory HauckOak Ridge National Laboratory, USA
Organizer: Ryan G. McClarrenTexas A&M University, USA
Organizer: Jingmei QiuUniversity of Houston, USA
Organizer: Jeffrey A. WillertLos Alamos National Laboratory, USA
10:15-10:35 Generalized Radiative Transfer: Accounting Accurately for Unresolved Variabilities at No Computational Cost, Yet Without HomogenizationAnthony B. Davis and Feng Xu, California
Institute of Technology, USA
Saturday, March 14
MS17Parallel Programming Models, Algorithms and Frameworks for Extreme Computing - Part I of III10:15 AM-11:55 AMRoom:254 B
For Part 2 see MS43 Multicore/manycore processors and accelerators are universally available as both collections of homogeneous standard microprocessors and as attached heterogeneous co-processors. Application and library software developers may often effectively use these processors and some general approaches have emerged. It is widely recognized that careful design of software and data structures, with effective memory management, are the most critical issues to obtain scalable optimized performance on those systems. In these minisymposia we discuss current experiences and development of applications, libraries and frameworks using a variety of hardware. Speakers will address performance results and software design.
Organizer: Kengo NakajimaUniversity of Tokyo, Japan
Organizer: Michael HerouxSandia National Laboratories, USA
Organizer: Serge G. PetitonCNRS/LIFL and INRIA, France
10:15-10:35 Opportunities and Challenges in Developing and Using Scientific Libraries on Emerging ArchitecturesMichael Heroux, Sandia National
Laboratories, USA
10:40-11:00 ppOpen-APPL/HEXA: A Framework for Development of Parallel FEM/FVM Applications on Intel Xeon PhiKengo Nakajima, University of Tokyo, Japan
11:05-11:25 On First Experiments for Nuclear Engineering Applications on Intel Xeon PhiChristophe Calvin, CEA Saclay, France
11:30-11:50 Managing Portability for ASC ApplicationsJeff Keasler and Richard Hornung, Lawrence
Livermore National Laboratory, USA
continued on next page
34 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS19Computational Methods for Kinetic Equations and Related Models - Part I of V10:15 AM-11:55 AMcontinued
10:40-11:00 Quadrature-Based Moment Methods for Radiation TransportRodney O. Fox, Iowa State University,
USA; Cory Hauck, Oak Ridge National Laboratory, USA; Ming Tse P. Laiu, University of Maryland, College Park, USA; Frederique Laurent, Ecole Centrale de Paris, France; Marc Massot, CNRS, France
11:05-11:25 Stability of PN Approximations for the Radiative Transfer Equation in the Free Streaming LimitMatthias Schlottbom, Institute for
Computational and Applied Mathematics, Germany; Herbert Egger, Technische Universität Darmstadt, Germany
11:30-11:50 On Combining Moment Methods and Discrete-Velocity-Schemes for Solving the Boltzmann EquationManuel Torrilhon, RWTH Aachen University,
Germany
Saturday, March 14
MS20Stochastic Simulation of Turbulent Flows Using One-dimensional Turbulence10:15 AM-11:55 AMRoom:150 DE
Simulation of turbulent flows is an important and challenging problem due to the wide range of length and time scales involved. One-dimensional turbulence (ODT) is a stochastic model that resolves a full range of length and time scales while remaining computationally affordable. ODT has been applied to a wide range of multiphysics problems including buoyant flows, combustion, and multiphase flows. This minisymposium presents recent advances in stochastic computational science using ODT. An overview of ODT is presented, with applications to soot formation in flames, multiphase reacting and nonreacting flows, and extension of ODT to three dimensions by coupling with large eddy simulation.
Organizer: David O. LignellBrigham Young University, USA
10:15-10:35 One-dimensional Turbulence Simulation: Overview and Application to Soot Formation in Nonpremixed FlamesDavid O. Lignell and Victoria Lansinger,
Brigham Young University, USA; John C. Hewson, Sandia National Laboratories, USA
10:40-11:00 Particle-Scalar Field Interactions in One-Dimensional TurbulenceJohn C. Hewson, Sandia National
Laboratories, USA; Guangyuan Sun and David O. Lignell, Brigham Young University, USA
11:05-11:25 Multiphase Turbulent Reacting Flow Simulations Using ODTJames C. Sutherland and Babak Goshayeshi,
University of Utah, USA
11:30-11:50 ODTLES: A Multiscale Approach for Highly Turbulent FlowsChristoph Glawe, Technical University
Cottbus, Germany; Heiko Schmidt, Brandenburgische Technische Universität Cottbus, Germany; Alan Kerstein, Consultant, USA
Saturday, March 14
MS21Career Fair: Alternatives to Academia - Part I of III10:15 AM-11:55 AMRoom:255
For Part 2 see MS47 The career fair will feature representatives from nonacademic employers from industry and government. These representatives will be prepared to discuss with you the opportunities for internships, postdoctoral appointments and full-time jobs at their organizations.
Organizer: William G. KolataSIAM, USA
Organizer: Kristin O’NeillSIAM, USA
This is the most current list at time of printing.• Argonne National Laboratory
• Boeing
• Hewlett-Packard Laboratories
• Kitware
• Lawrence Berkeley National Laboratory
• Lawrence Livermore National Laboratory
• MathWorks
• MIT Lincoln Laboratory
• National Institute of Standards & Technology
• NSA
• NVIDIA
• Oak Ridge National Laboratory
• Quantlab
The most current list of participating companies is available at www.siam.org/meetings/cse15/career.php.
2015 SIAM Conference on Computational Science and Engineering 35
Saturday, March 14
MS22Computational Methods for Periodic Flows and their Applications10:15 AM-11:55 AMRoom:260 A
Many biological and physical flows at low-Reynolds number exhibit periodic behavior. One modeling approach to investigate these flows is the use of periodic Green’s functions, or, the periodic summation of the corresponding Green’s functions in free space. While simple in concept, the practical computation of periodic Green’s functions is nontrivial since brute force summation can lead to divergent or slowly convergent sums. To make numerical computation feasible, other approaches such as Ewald summation methods must also be applied.The aim of this minisymposium is to share insight into computational methods for periodic flows and their applications.
Organizer: Hoang-Ngan NguyenUniversity of California, Merced, USA
Organizer: Karin LeidermanUniversity of California, Merced, USA
10:15-10:35 Computation of the Regularized Image Systems for Doubly-Periodic Brinkman Flow in the Presence of a WallHoang-Ngan Nguyen and Karin Leiderman,
University of California, Merced, USA
10:40-11:00 Accelerated Boundary Integral Simulations for Fluid-Structure Interactions in Periodic Stokes FlowAnna-Karin Tornberg, KTH Royal Institute of
Technology, Sweden
11:05-11:25 A Numerical Method for Doubly-Periodic Stokes Flow Near a WallFranz M. Hoffmann, Tulane University, USA
11:30-11:50 Cilia Beating Patterns are not Hydrodynamically OptimalHanliang Guo, University of Southern
California, USA; Janna C. Nawroth, Harvard University, USA; Yang Ding, Beijing Computational Science Research Center, China; Eva Kanso, University of Southern California, USA
Saturday, March 14
MS24Advances in Radial Basis Function and Other Meshfree Methods - Part I of V10:15 AM-11:55 AMRoom:151 AB
For Part 2 see MS50 Meshfree methods have many inherent properties that make them useful for a variety of problems in science and engineering, from fitting data to numerically solving differential equations. Such methods offer geometric flexibility, non-uniform resolution, and advantageous trade-offs between accuracy and computational costs. This minisymposium focuses primarily on methods based on radial basis functions and other more general kernels. The talks will address recent advances in the application of these methods to large-scale problems in biology, geophysics, image processing, and finance, as well as theoretical advances in the methods themselves.
Organizer: Varun ShankarUniversity of Utah, USA
Organizer: Grady B. WrightBoise State University, USA
10:15-10:35 Guidelines to Modeling the Navier-Stokes and Euler Equations with RBF-FDNatasha Flyer, National Center for
Atmospheric Research, USA; Louis Wicker, National Oceanic and Atmospheric Administration, USA; Gregory Barnett, University of Colorado Boulder, USA
10:40-11:00 A High-Order RBF-Based Leray Projection Method for the Incompressible Stokes and Navier-Stokes EquationsEdward Fuselier, High Point University,
USA; Varun Shankar, University of Utah, USA; Grady B. Wright, Boise State University, USA
11:05-11:25 A Novel Elliptic Solver Based on RBF-Finite Differences for Understanding the Earth’s Electric SystemVictor Bayona and Natasha Flyer, National
Center for Atmospheric Research, USA
11:30-11:50 The Fast Orthogonal Gradients Method: An RBF Method for Solving PDEs on Point Cloud-Defined SurfacesCecile M. Piret, Université Catholique de
Louvain, Belgium
Saturday, March 14
MS23Recent Developments of DG/WENO Methods for Partial Differential Equations - Part I of II10:15 AM-11:55 AMRoom:260 B
For Part 2 see MS49 This minisymposium is to bring people together to discuss the recent advances and exchange ideas in the algorithm design of discontinuous Galerkin (DG) method and weighted essentially nonoscillatory (WENO) method, including the implementation, numerical analysis of those high-order numerical methods for solving partial differential equations. In the minisymposium, the speakers will apply those high-order numerical methods to computational fluid, biology and physics, etc. This minisymposium is a good opportunity for people to discuss with researchers from different areas, and explore more applications and future research collaborations.
Organizer: Yang YangMichigan Technological University, USA
Organizer: Juan ChengInstitute of Applied Physics and Computational Mathematics, China
10:15-10:35 Symmetry-Preserving Conservative Lagrangian Scheme for Compressible Euler Equations in Two-Dimensional Cylindrical CoordinatesJuan Cheng, Institute of Applied Physics and
Computational Mathematics, China
10:40-11:00 Superconvergent HDG Methods for Third-Order Equations in One-Space DimensionBo Dong and Yanlai Chen, University of
Massachusetts, Dartmouth, USA; Bernardo Cockburn, University of Minnesota, Minneapolis, USA
11:05-11:25 A Local Discontinuous Galerkin Scheme for the Patlak-Keller-Segel Chemotaxis ModelYang Yang, Michigan Technological
University, USA; Xingjie Li and Chi-Wang Shu, Brown University, USA
11:30-11:50 Optimal Error Estimates for Discontinuous Galerkin Methods Based on Upwind Biased Fluxes for Linear Hyperbolic EquationsXiong Meng, University of East Anglia,
United Kingdom
36 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS25Applications and Uses for Tensors10:15 AM-11:55 AMRoom:151 DE
An in-depth examination of uses for tensors in different applications and areas of research.
Organizer: Martin D. SchatzUniversity of Texas at Austin, USA
10:15-10:35 A Framework for Distributed Tensor ComputationsMartin D. Schatz, University of Texas at
Austin, USA; Tamara G. Kolda, Sandia National Laboratories, USA; Robert A. van de Geijn, University of Texas at Austin, USA
10:40-11:00 Exploiting Multiple Tensor Symmetries though Block DiagonalizationCharles Van Loan, Cornell University, USA
11:05-11:25 Tensor Computation for Chemistry and Material ScienceJustus Calvin and Edward F. Valeev, Virginia
Tech, USA
11:30-11:50 Distributed Contraction of TensorsP. Sadayappan and Samyam Rajbhandari,
The Ohio State University, USA; Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA; Pai-Wei Lai, The Ohio State University, USA
Saturday, March 14
MS26Challenges in Computational Cardiac Electrophysiology - Part I of II10:15 AM-11:55 AMRoom:151 G
For Part 2 see MS51 The use of computer simulation to model cardiac electrophysiology, from the cellular level to the whole-organ, has the potential to revolutionise mechanistic understanding, diagnosis and treatment of arrhythmias. These models are often complex and computationally demanding, and integrating the available electrical and imaging data with its inherent uncertainty makes direct clinical utility particularly challenging. This minisymposium highlights the latest advancements and new approaches to modelling cardiac electrophysiology across multiple scales, including imaging and data integration, which will pave the way for developing clinically tractable simulation environments to aid patient treatment in the future.
Organizer: Chris CantwellImperial College London, United Kingdom
Organizer: Frank B. SachseUniversity of Utah, USA
Organizer: Richard ClaytonUniversity of Sheffield, United Kingdom
10:15-10:35 Multi-Scale Modeling of the Failing Heart: from Molecule to PatientAndrew D. McCulloch, Christopher
Villongco, Adarsh Krishnamurthy, and David Krummen, University of California, San Diego, USA
10:40-11:00 Towards Multidomain Modeling of Cardiac ElectrophysiologyFrank B. Sachse, Thomas Seidel, and
Jan Christoph Edelmann, University of Utah, USA; Gunnar Seemann, Karlsruhe Institute of Technology, Germany
11:05-11:25 The Role of Microdomains and Ephaptic Coupling in Cardiac Action Potential PropagationJames P. Keener, University of Utah, USA
11:30-11:50 Strongly Scalable Numerical Approaches for Modeling Cardiac Electromechanics at High Spatiotemporal ResolutionChristoph Augustin, Aurel Neic, Manfred
Liebmann, Gundolf Haase, and Gernot Plank, University of Graz, Austria
Lunch Break11:55 AM-1:30 PMAttendees on their own
continued in next column
2015 SIAM Conference on Computational Science and Engineering 37
Saturday, March 14
IP2Model Reduction - Trouble with Scales?1:30 PM-2:15 PMRoom:355
Chair: Pavel Bochev, Sandia National Laboratories, USA
Scientific and technological advances call for more and more complex models as well as systematic ways of complementing them by observational data. Despite the ever increasing computing capacity, ironically, the need for quantifiable model reduction concepts is also gaining increasing importance in numerous application contexts. Examples are large scale design or online optimization tasks, uncertainty quantification or inversion problems some of which may only become feasible through employing reduced models. Starting from a flow scenario with microscales this talk highlights several aspects of related model reduction strategies with particular focus on accuracy and stability guarantees, presence of small scales, singular perturbations, and high dimensionality. We address some of the key ingredients, revolving around error-residual relations, rate-optimality as a benchmark notion, adaptive or greedy methods, separation of variables. The discussion is illustrated by numerical examples.
Wolfgang DahmenRWTH Aachen, Germany
Intermission2:15 PM-2:25 PM
Saturday, March 14
MS27Featured Minisymposium: Fast Multipole Methods Maturing at 30 Years2:25 PM-4:05 PMRoom:355
In the last five years or so, research on fast multipole methods has been buzzing and it seems that finally this “top-10” algorithm may be reaching its potential. The mathematicians have always continued making progress and improvements, but lately we see many developments in the computer science aspects of implementing the algorithm with high performance, and the applications arena. This featured minisymposium will present leaders in the field discussing the most resent advances and giving perspectives for the future. It will complement several regular minisymposia being presented at the conference.
Organizer: Lorena A. BarbaGeorge Washington University, USA
2:25-2:45 Overview of the Field and the Community of Fast Multipole MethodsLorena A. Barba, George Washington
University, USA
2:50-3:10 N-body Methods in Computational Science and EngineeringGeorge Biros, University of Texas at Austin,
USA
3:15-3:35 Computer Science Aspects of Fast Multipole MethodsRichard Vuduc, Georgia Institute of
Technology, USA
3:40-4:00 The Geometry of the Fast Multipole MethodsLexing Ying, Stanford University, USA
Saturday, March 14
PD1 PanelStudent Careers12:15 PM-1:30 PMRoom:355 D
Sponsored by KAUST
Chair: Evrim Acar, University of Copenhagen, Denmark
Chair: William G. Kolata, SIAM, USA
Chair: Patrick O’Leary, Kitware, Inc., USA
The panelists will present an overview careers in CSE in Academia, Industry and National Laboratories. The session will begin with brief presentations by the panelists, followed by an open discussion and question period with students in the audience. Lunch will be provided. Attendance is limited to current undergraduate and graduate students. If you did not register but would like to attend, please see a SIAM staff member at the registration desk
Thomas GrandineThe Boeing Company, USA
David KeyesKAUST, Saudia Arabia and Columbia
University, USA
Cynthia PhillipsSandia National Laboratories, USA
Jeffrey SaltzmanAstraZeneca, USA
38 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS28Data-methods for Complex Systems - Part II of III2:25 PM-4:05 PMRoom:355 A
For Part 1 see MS2 For Part 3 see MS53 Data-driven methods are transforming the engineering, physical and biological sciences. Indeed, innovative uses of machine learning, dimensionality reduction, sparse sensing, and/or network characterization techniques are allowing for significant advances in engineering designs for the prediction and control of highly complex, often networked, systems. This minisymposium brings together experts who are integrating together one or more of the aforementioned methodologies with the goal of providing transformative analytic tools and algorithms for characterizing the underlying, low-dimensional, dynamics of the complex system.
Organizer: J. Nathan KutzUniversity of Washington, USA
Organizer: Steven BruntonUniversity of Washington, USA
Organizer: Joshua ProctorInstitute for Disease Modeling, USA
2:25-2:45 Data-Driven Modeling of Complex Systems with ControlJoshua L. Proctor, Institute for Disease
Modeling, USA
2:50-3:10 Low-Complexity Stochastic Modeling of Turbulent FlowsMihailo R. Jovanovic, University of
Minnesota, USA
3:15-3:35 A Deim Induced Cur FactorizationDanny C. Sorensen, Rice University, USA
3:40-4:00 Data Mining and Coarse Graining for Network Evolution ProblemsYannis Kevrikidis, Princeton University, USA
Saturday, March 14
MS29Geometric Methods for Graph Partitioning - Part II of II2:25 PM-4:05 PMRoom:355 D
For Part 1 see MS3 The graph partitioning problem of finding meaningful clusters in a dataset has a variety of important applications in areas such as machine learning, image analysis, and topic modeling. A variety of new methods have recently been introduced based on ideas from geometric analysis, compressive sensing, spectral graph theory, and nonlinear partial differential equations. This minisymposium aims to bring together mathematicians and scientists working on these methods to share new results and exchange ideas.
Organizer: Braxton OstingUniversity of Utah, USA
Organizer: Dominique ZossoUniversity of California, Los Angeles, USA
2:25-2:45 Sampling of Dynamic Graphs and Recovery of the Spectral PropertiesNathan D. Monnig, Conrad Hougen,
and Francois G. Meyer, University of Colorado Boulder, USA
2:50-3:10 Consistency of Variational Partitioning of Point CloudsNicolas Garcia Trillos and Dejan Slepcev,
Carnegie Mellon University, USA; James von Brecht, University of California, Los Angeles, USA; Thomas Laurent, Loyola Marymount University, USA; Xavier Bresson, Swiss Federal Institute of Technology, Switzerland
3:15-3:35 Geometric Methods in Image Processing, Networks, and Machine LearningAndrea L. Bertozzi, University of California,
Los Angeles, USA
3:40-4:00 A Panoply of Graph-ported PDEs and ProcessesYves van Gennip, Nottingham University,
United Kingdom
Saturday, March 14
MS30Adaptive Model Order Reduction - Part II of III2:25 PM-4:05 PMRoom:250 A
For Part 1 see MS4 For Part 3 see MS55 Classical model reduction follows a static approach where the reduced-order model is built once in the offline phase and then remains unchanged in the online phase. Adaptive model reduction breaks with this rigid splitting and adapts the reduced order model online. Such adaptive techniques include localization approaches, where one of several pre-computed local models is selected depending on the current state of the system; dictionary approaches, where the reduced basis is assembled on demand from pre-computed basis vectors; and updating methods, which incorporate new data or other information in the reduced-order model.
Organizer: Benjamin PeherstorferMassachusetts Institute of Technology, USA
Organizer: David AmsallemStanford University, USA
2:25-2:45 Geometric Methods in Adaptive Model Order ReductionRalf Zimmermann, TU Braunschweig,
Germany; Thomas Franz, German Aerospace Center (DLR), Germany
2:50-3:10 An Adaptive and Efficient Greedy Procedure for the Optimal Training of Parametric Reduced-Order ModelsArthur Paul-Dubois-Taine and David
Amsallem, Stanford University, USA
3:15-3:35 Error Estimation for Hyper-Reduced Elastoviscoplastic ModelsDavid Ryckelynck, Mines ParisTech, France
3:40-4:00 Symplectic Model Reduction for Hamiltonian SystemsKamran Mohseni, University of Florida,
Gainesville, USA; Liqian Peng, University of Florida, USA
2015 SIAM Conference on Computational Science and Engineering 39
Saturday, March 14
MS31State-of-the-art Iterative Solvers for Inverse Problems - Part II of II2:25 PM-4:05 PMRoom:250 B
For Part 1 see MS5 Efficient linear solvers are a critical component in the large-scale implementations of algorithms for inverse problems. Examples include solvers for the Newton/Gauss-Newton step and solving the discretized PDEs which comprise the “forward problem”. This session will focus on advances in iterative solvers and preconditioners for linear and nonlinear inverse problems. Applications of the algorithms include diverse areas ranging from medical imaging to environmental sciences.
Organizer: Arvind SaibabaTufts University, USA
Organizer: Misha E. KilmerTufts University, USA
Organizer: Eric MillerTufts University, USA
2:25-2:45 An Iterative Algorithm for Large-Scale Tikhonov RegularizationJulianne Chung, Virginia Tech, USA;
Katrina Palmer, Appalachian State University, USA
2:50-3:10 The Arnoldi-Tikhonov Framework: Choice of Regularization Parameters and MatricesSilvia Gazzola, University of Padova, Italy;
James G. Nagy, Emory University, USA; Paolo Novatti, University of Padova, Italy
3:15-3:35 Flexible Krylov Subspace Methods for Shifted Systems with Multiple Right Hand SidesTania Bakhos, Stanford University, USA;
Arvind Saibaba, Tufts University, USA; Peter K. Kitanidis, Stanford University, USA
3:40-4:00 Unbiased Predictive Risk and Discrepancy Principles Applied for LSQR Solutions of Ill-posed Least SquaresRosemary A. Renaut, Arizona State
University, USA
Saturday, March 14
MS32Computational Techniques for Time Dependent Coupled Multiphysics and Multiscale Problems - Part II of III2:25 PM-4:05 PMRoom:250 C
For Part 1 see MS6 For Part 3 see MS57 The simulation of multiphysics and multiscale systems is important for a wide range of applications including fluid structure interaction and conjugate heat transfer. Of particular interest is the formulation of solvers built by reusing codes for the various subproblems for which it is common to use ad hoc coupling or time integration schemes. This minisymposium discusses new and practical approaches to advance the state of the art, and to help bridge the gap between researchers working in the various fields. Important aspects include time adaptivity, high order methods, multirate schemes, stability, coupling conditions, and the overall solver performance.
Organizer: Jeffrey W. BanksRensselaer Polytechnic Institute, USA
2:25-2:45 Half-Imex Time Integrators for Large Scale Simulations of Turbulent Incompressible FlowsSantiago Badia, Universitat Politecnica
de Catalunya, Spain; Oriol Colomes, International Center for Numerical Methods in Engineering, Spain
2:50-3:10 Overview of Added-Mass Partitioned Algorithms for FSI SimulationsWilliam Henshaw, Rensselaer Polytechnic
Institute, USA
3:15-3:35 Overcoming the Added Mass Instability for Coupling Incompressible Flows and Elastic BeamsLongfei Li, Rensselaer Polytechnic Institute,
USA
3:40-4:00 Partitioned Algorithms for FSI Problems Involving Elastic Solids Coupled to Compressible and Incompressible FluidsDonald W. Schwendeman, Rensselaer
Polytechnic Institute, USA
Saturday, March 14
MS33Active Subspaces for Dimension Reduction: Theory and Applications - Part II of III2:25 PM-4:05 PMRoom:250 D
For Part 1 see MS7 For Part 3 see MS58 Parameter studies like uncertainty quantification and optimization are infeasible for complex simulations with more than a handful of inputs. When a simulation contains several inputs, the engineer may seek an alternative parameterization with fewer variables to enable such studies. Active subspaces are an emerging set of tools for dimension reduction in complex models. The active subspace is a set of directions in the space of input variables that correspond to greater change, on average, in a quantity of interest. This minisymposium will explore (i) recent developments in algorithms that exploit active subspaces and (ii) applications from across engineering disciplines.
Organizer: Paul ConstantineColorado School of Mines, USA
2:25-2:45 An Approach to Big Data in Inverse ProblemsEllen B. Le, Aaron Myers, and Tan Bui-Thanh,
University of Texas at Austin, USA
2:50-3:10 Likelihood-Informed Dimension Reduction for Bayesian Inverse ProblemsTiangang Cui, Massachusetts Institute of
Technology, USA; James R. Martin, University of Texas at Austin, USA; Youssef M. Marzouk, Massachusetts Institute of Technology, USA; Antti Solonen, Lappeenranta University of Technology, Finland; Alessio Spantini, Massachusetts Institute of Technology, USA; Luis Tenorio, Colorado School of Mines, USA
3:15-3:35 Parameter Selection Techniques for Disease ModelsJared Cook, Asbury University, USA; Nicholas
Myers, University of Wisconsin, Milwaukee, USA; Nina Ning, George Washington University, USA; Mami Wentworth and Ralph C. Smith, North Carolina State University, USA
3:40-4:00 Active Subspaces for the Design of Supersonic Low-Boom AircraftTrent W. Lukaczyk, Juan J. Alonso, and
Francisco Palacios, Stanford University, USA
40 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS36Embedded Boundary and Interface Techniques - Part II of II2:25 PM-3:40 PMRoom:251 A
For Part 1 see MS10 Many problems in science and engineering are modeled by partial differential equations (PDEs) in domains with irregular geometry and/or with interfaces. Development of special algorithms are required to restore the accuracy of the numerical schemes near arbitrary boundaries/or interfaces. Recently, much of the progress has been made for designing highly accurate and efficient numerical methods for such problems which employ only simple Cartesian grids. Developments and applications of XFEM, Immersed Interface Methods and Difference Potentials Methods, as well as open questions in the field will be discussed in details.
Organizer: Yekaterina EpshteynUniversity of Utah, USA
Organizer: Gunilla KreissUppsala University, Sweden
2:25-2:45 A Fourth Order Accurate Embedded Boundary Method for the Wave Equation in Second Order FormDaniel Appelo, University of New Mexico,
USA
2:50-3:10 High-Order Numerical Methods for Elliptic Interface ProblemsMichael Medvinsky and Yekaterina Epshteyn,
University of Utah, USA; Semyon V. Tsynkov, North Carolina State University, USA; Eli Turkel, Tel Aviv University, Israel
3:15-3:35 A Nitsche Stabilized Fictitious Domain Finite Element Method for the Wave EquationSimon Sticko and Gunilla Kreiss, Uppsala
University, Sweden
Saturday, March 14
MS35Matrix-Free Methods for Large-Scale Optimization with Applications2:25 PM-4:05 PMRoom:250 F
For Part 1 see MS9 Many applications can be formulated as large-scale optimization problems, including inverse problems, medical and seismic imaging, classification in machine learning, data assimilation in weather prediction, and matrix decompositions. For all of them, explicit modeling is prohibitive and matrix-free methods are essential for competitive performance. First-order methods have proven widely successful in recent years. However, recent developments suggest that matrix-free second-order methods, such as interior-point methods, can be competitive. The goal of the minisymposium is to explore those ideas, compare to first-order methods, and promote further research and collaboration between the optimization and applied communities in developing large-scale matrix-free methods.
Organizer: Dominique OrbanÉcole Polytechnique de Montréal, Canada
Organizer: Aleksandr AravkinIBM T.J. Watson Research Center, USA
2:25-2:45 Matrix Free Quadratic-penalty Methods for PDE-constrained OptimizationBas Peters and Felix J. Herrmann, University
of British Columbia, Canada
2:50-3:10 Matrix-Free Solvers for Robust PCA and Distance Matrix CompletionStephen Becker, University of Colorado
Boulder, USA; Aleksandr Aravkin and Aurelie Lozano, IBM T.J. Watson Research Center, USA
3:15-3:35 Compressing Clustered Data using Sparse NMFMichael A. Saunders and San Kim, Stanford
University, USA
3:40-4:00 Dimensionality Reduction and Uncertainty Quantification for Inverse ProblemsTristan van Leeuwen, Utrecht University, The
Netherlands
Saturday, March 14
MS34Advances in Algorithms for Uncertainty Quantification in Large-scale Inverse Problems - Part II of III2:25 PM-4:05 PMRoom:250 E
For Part 1 see MS8 For Part 3 see MS59 Quantification of uncertainty in large-scale inverse problems governed by partial differential equations presents significant challenges due to computationally expensive parameter-to-observable maps and high-dimensional parameter spaces. This minisymposium presents recent advances in algorithms that make UQ for large-scale linear and nonlinear inverse problems tractable by exploiting problem structure.
Organizer: Georg StadlerCourant Institute of Mathematical Sciences, New York University, USA
Organizer: George BirosUniversity of Texas at Austin, USA
Organizer: Omar GhattasUniversity of Texas at Austin, USA
Organizer: Youssef M. MarzoukMassachusetts Institute of Technology, USA
2:25-2:45 An Empirical Objective Bayes Method for Large Inverse ProblemsPeter K. Kitanidis, Stanford University,
USA
2:50-3:10 Applying UQ Approaches to Random Ordinary Differential EquationsTobias Neckel, Hans-Joachim Bungartz, and
Alfredo Parra, Technische Universität München, Germany
3:15-3:35 Goal-Oriented Model Adaptivity for InferenceVikram Garg, University of Texas at Austin,
USA; Harriet Li and Karen E. Willcox, Massachusetts Institute of Technology, USA
3:40-4:00 Sparse Grid and Reduced Basis Approximation of Bayesian Inverse ProblemsPeng Chen and Christoph Schwab, ETH
Zürich, Switzerland
2015 SIAM Conference on Computational Science and Engineering 41
Saturday, March 14
MS39AWM Workshop - Career Development: Celebrating Firsts - Panel and Roundtable2:25 PM-4:05 PMRoom:251 D
For Part 1 see MS13 Sponsored by Association for Women in Mathematics (AWM)
Minisymposium speakers and panelists will provide an overview of challenges and strategies for success as firsts in their respective field, career path, or organization. We will discuss how to approach the obstacles women mathematicians and scientist face when encountering first-time career and career-related life events, including: obtaining your first position, tenure track, work-life balance, funding, and post-tenure success. Topical discussions will be led by panelists.
Organizer: Elebeoba MayUniversity of Houston, USA
Organizer: Hoa NguyenTrinity University, USA
Organizer: Yekaterina EpshteynUniversity of Utah, USA
Speakers To Be Announced
Saturday, March 14
MS38Innovative Algorithms for Eigenvalue and Singular Value Decomposition - Part II of III2:25 PM-4:05 PMRoom:251 C
For Part 1 see MS12 For Part 3 see MS63 The minisymposium will focuses on the first steps taken on the development of novel software methodologies and algorithm for the next generation of HPC systems. Some scale challenges will be addressed; the goal is to close the “application-architecture peak performance gap” by exploring algorithms and runtime improvements that will enable key science applications to better exploit the architectural features of the extreme-scale systems. The contributed talks will cover new approaches that can overcome the limitations of existing dense/sparse eigensolver libraries on platforms that require fine granularity and memory-aware computational tasks combined with asynchronism in parallel execution.
Organizer: Azzam HaidarUniversity of Tennessee, Knoxville, USA
Organizer: Piotr LuszczekUniversity of Tennessee, Knoxville, USA
Organizer: Stanimire TomovUniversity of Tennessee, Knoxville, USA
2:25-2:45 A Parallel Multishift QZ Algorithm with Aggressive Early Deflation for Distributed Memory HPC SystemsBjörn Adlerborn and Bo T. Kågström, Umeå
University, Sweden; Daniel Kressner, EPFL, Switzerland
2:50-3:10 Algorithms for Hessenberg-Triangular Reduction in ParallelBjörn Adlerborn, Lars Karlsson, and Bo T.
Kågström, Umeå University, Sweden
3:15-3:35 Avoiding Communication in Distributed-Memory TridiagonalizationGrey Ballard, Sandia National Laboratories,
USA; James W. Demmel, Nicholas Knight, and Edgar Solomonik, University of California, Berkeley, USA
3:40-4:00 Performance Evaluation of Sparse Matrix-Vector Multiplication Using GPU/MIC ClusterHiroshi Maeda and Daisuke Takahashi,
University of Tsukuba, Japan
Saturday, March 14
MS37Physics-compatible Discretization on Multiphysics Systems and Efficient Multilevel Solvers - Part II of II2:25 PM-4:05 PMRoom:251 B
For Part 1 see MS11 Design of the appropriate discretization for the PDE systems can oftentimes be done by taking into account the detailed characteristics of the PDE models in relation to the underlying Physics. In many cases, efficient multilevel iterative solvers can be developed based on such discretization. Therefore, such discretization is typically solver-friendly. The minisymposium is to disseminate the state-of-art developments in physics-compatible discretization on multi-physics systems and the corresponding efficient multilevel solvers.
Organizer: Yunrong ZhuIdaho State University, USA
Organizer: Young-Ju LeeTexas State University, USA
2:25-2:45 Solver for Structure-Preserving Discretization of Incompressible MHD EquationsYicong Ma, Pennsylvania State University,
USA; Xiaozhe Hu, Tufts University, USA; Jinchao Xu, Pennsylvania State University, USA
2:50-3:10 Modeling and Numerical Studies for Fluid-Structure InteractionsPengtao Sun, University of Nevada, Las
Vegas, USA
3:15-3:35 Cascadic Multilevel for Saddle Point Least-Squares MethodsConstantin Bacuta, University of Delaware,
USA
3:40-4:00 Multigrid Method for Linear Elasticity with Weakly Imposed SymmetryYoung Ju Lee, Texas State University, USA
42 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS40NSF-SIAM Symposium on Mathematical and Computational Aspects of Materials Science - Part II of III2:25 PM-4:05 PMRoom:251 E
For Part 1 see MS14 For Part 3 see MS65 The materials science community has embarked on various large-scale computational projects. We mention the materials genome project---a broad survey of thousands of materials---and several deep-mining projects of a few selected materials. These projects offer interesting opportunities for mathematical and computational scientists to advance the state of the art in materials research by developing mathematical models, computational algorithms, and tools for data analysis. The Division of Materials Research (DMR) and Division of Mathematical Sciences (DMS) of the National Science Foundation are encouraging collaborations of mathematicians and materials scientists through several mechanisms (MSII, DMREF, etc.). The speakers in this symposium will will highlight opportunities for joint research projects.
Organizer: Hans G. KaperArgonne National Laboratory and Georgetown University, USA
2:25-2:45 Structural Optimization and 3D PrintingRobert V. Kohn, Courant Institute of
Mathematical Sciences, New York University, USA
2:50-3:10 DNA-Functionalized Nanoparticle Assembly and CrystallizationMonica Olvera De La Cruz, Northwestern
University, USA
3:15-3:35 Mathematical Challenges in Nonequilibrium Approaches to Amorphous Solids: Quantifying Disorder, Predicting Plasticity, Accelerating SimulationMichael Falk, Johns Hopkins University,
USA
3:40-4:00 Integrating Mathematical Modeling and Computer Simulation with Experimental Synthesis and Characterization of MaterialsLong-qing Chen, Pennsylvania State
University, USA
Saturday, March 14
MS41Volume Penalty and Fourier Methods for PDEs on Irregular Domains - Part I of II2:25 PM-3:40 PMRoom:251 F
For Part 2 see MS66 Volume penalty methods allow one to extend the domain that a partial differential equation is defined on (ie. an irregular geometry) to that of a simple rectangular domain through the addition of a volume penalty, forcing term. The resulting penalized equations then provide a flexible and efficient framework for solving (moving) interface and boundary problems via a solution using I) equispaced grids, ii) Nonconforming FEM, iii) Fourier methods. This minisymposium brings together mathematicians and practitioners to discuss both theoretical aspects such as convergence rates and stability, as well as applications and simulations of physical phenomena.
Organizer: David ShirokoffNew Jersey Institute of Technology, USA
2:25-2:45 A New Penalization Method for the Shallow Water Equations with Applications to Global Ocean FlowNicholas Kevlahan, McMaster University,
Canada
2:50-3:10 Imposing Dirichlet and Neumann Conditions in Fourier Pseudospectral Methods Using Volume PenalizationKai Schneider, Aix-Marseille Université,
France
3:15-3:35 High-Order Fourier-Penalty Methods for PDEs on Irregular DomainsDavid Shirokoff, New Jersey Institute of
Technology, USA
Saturday, March 14
MS42Theory, Computation and Experiments in Biofluids - Part II of II2:25 PM-4:05 PMRoom:254 A
For Part 1 see MS16 Over the last two decades the study of systemic biofluids and their interactions with engineering therapeutics and implants has rapidly developed into an interdisciplinary approach of utilizing Mathematics, Bioengineering, Biomedical, and the Biological Sciences to address the complexities and challenges of this field. Eight speakers in this two part minisymposium will present their research spanning mathematical analysis, algorithm development, complex simulations of biological systems and coordination between modeling and experiments. The diversity of these presentations shows the importance of interdisciplinary research on systemic biofluids to understand its wide range of domains from basic processes of fluid dynamics to technological applications.
Organizer: Hoa NguyenTrinity University, USA
Organizer: John CarrolaSouthwest Research Institute, USA
2:25-2:45 The Effect of Curved or Flat Edges Microchannels on Vortex Entrapment of Particles as seen in Lattice-Boltzmann SimulationsJohn Carrola and Hakan Basagaoglu,
Southwest Research Institute, USA
2:50-3:10 Scaffold-free Three-dimensional Hepatocyte Assembly for Liver Tissue EngineeringUtkan Demirci and Pu Chen, Stanford
University, USA
3:15-3:35 Brownian Motion of Arbitrarily Shaped Particles Confined in Two-DimensionsQi-Huo Wei, Kent State University, USA
3:40-4:00 Designing Self-Propelling Microgel SwimmerAlexander Alexeev, Svetoslav Nikolov, and
Peter Yeh, Georgia Institute of Technology, USA
2015 SIAM Conference on Computational Science and Engineering 43
Saturday, March 14
MS43Parallel Programming Models, Algorithms and Frameworks for Extreme Computing - Part II of III2:25 PM-4:05 PMRoom:254 B
For Part 1 see MS17 For Part 3 see MS68 Multicore/manycore processors and accelerators are universally available as both collections of homogeneous standard microprocessors and as attached heterogeneous co-processors. Application and library software developers may often effectively use these processors and some general approaches have emerged. It is widely recognized that careful design of software and data structures, with effective memory management, are the most critical issues to obtain scalable optimized performance on those systems. In these minisymposia we discuss current experiences and development of applications, libraries and frameworks using a variety of hardware. Speakers will address performance results and software design.
Organizer: Kengo NakajimaUniversity of Tokyo, Japan
Organizer: Michael HerouxSandia National Laboratories, USA
Organizer: Serge G. PetitonCNRS/LIFL and INRIA, France
2:25-2:45 OCCA: An Extensible Portability Layer for Many-Core ProgrammingTim Warburton and David Medina, Rice
University, USA; Amik St-Cyr, Shell International Exploration & Production B.V., Netherlands
2:50-3:10 Evaluations of Directive Based Programming Model for GPUs and Extensions for Performance PortabilityTetsuya Hoshino, Tokyo Institute of
Technology, Japan; Naoya Maruyama, RIKEN, Japan; Satoshi Matsuoka, Tokyo Institute of Technology, Japan
3:15-3:35 Optimization of Preconditioned Iterative Linear Solvers Using Openmp/openacc on Gpu and MicSatoshi Ohshima, Masaharu Matsumoto,
Takahiro Katagiri, Toshihiro Hanawa, and Kengo Nakajima, University of Tokyo, Japan
3:40-4:00 A Kokkos Implementation of Albany: A Performance Portable Multiphysics Simulation CodeIrina Demeshko, H. Carter Edwards, Michael
Heroux, Roger P. Pawlowski, Eric Phipps, and Andrew Salinger, Sandia National Laboratories, USA
Saturday, March 14
MS44Advanced Algorithms in Computational Electromagnetics - Part II of II2:25 PM-4:05 PMRoom:254 C
For Part 1 see MS18 The minisymposium focuses on advanced numerical algorithms and high performance simulations for electromagnetic systems, including photonics crystals, plasmonics, solar cells, and quantum electronic devices. Main topics include high-order PDE/ODE discretizations, Green function, integral equation, boundary element method, and density matrix approaches. Scalable algorithms and efficient preconditioning strategies are also discussed for solving large-scale systems on the advanced computing platforms.
Organizer: David P. NichollsUniversity of Illinois, Chicago, USA
Organizer: MiSun MinArgonne National Laboratory, USA
2:25-2:45 Resonances of a Finite One-Dimensional Photonic Crystal with a DefectFadil Santosa, University of Minnesota,
USA
2:50-3:10 Electromagnetic Field Enhancement for Metallic Nano-gapsJunshan Lin, Auburn University, USA
3:15-3:35 An Efficient Spectral Element Helmholtz Solver with an Accurate Treatment for Transparent Boundary Condition for Periodic Lossy MediaYing He, University of California, Davis,
USA
3:40-4:00 A High Order Perturbation of Surfaces Method for Simulating Surface Plasmons on Periodic GratingsDavid P. Nicholls, University of Illinois,
Chicago, USA
continued in next column
44 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS45Computational Methods for Kinetic Equations and Related Models - Part II of V2:25 PM-4:05 PMRoom:150 AB
For Part 1 see MS19 For Part 3 see MS70 Kinetic descriptions play an important role in a variety of physical, biological, and even social applications. Unfortunately, the large phase space associated with the kinetic description has in the past made simulations impractical in most settings. However, recent advances in computer resources and numerical algorithms are making kinetic models more tractable, and this trend is expected to continue in the future. The purpose of this minisymposium is to report on the continuing progress on numerical analysis and computational science for kinetic equations. It brings together researchers from applied mathematics, computational science, physics, and engineering communities to discuss their work and exchange ideas.
Organizer: Martin FrankRWTH - Aachen University of Technology, Germany
Organizer: Cory HauckOak Ridge National Laboratory, USA
Organizer: Ryan G. McClarrenTexas A&M University, USA
Organizer: Jingmei QiuUniversity of Houston, USA
Organizer: Jeffrey A. WillertLos Alamos National Laboratory, USA
2:25-2:45 Performance of Parallel Algorithms for Particle Transport on Massively Parallel ArchitecturesMarvin L. Adams, Michael Adams, W.
Daryl Hawkins, Timmie Smith, Lawrence Rauchwerger, and Nancy Amato, Texas A&M University, USA; Teresa S. Bailey and Robert Falgout, Lawrence Livermore National Laboratory, USA
2:50-3:10 Particle-Particle, Particle-Mesh Methods for Electromagnetic ProblemsAndrew J. Christlieb and Eric Wolf,
Michigan State University, USA
3:15-3:35 Uncertainty Quantification in Kinetic TheoryShi Jin, Shanghai Jiao Tong University,
China, and the University of Wisconsin-Madison, USA; Dongbin Xiu and Xueyu Zhu, University of Utah, USA
3:40-4:00 Stochastic Galerkin Method for Hamilton-Jacobi Equations with UncertaintyJingwei Hu, Purdue University, USA; Shi
Jin, Shanghai Jiao Tong University, China, and the University of Wisconsin-Madison, USA; Dongbin Xiu, University of Utah, USA
Saturday, March 14
MS46Advances in Large-scale Forward and Inverse Ice Sheet Modeling - Part I of II2:25 PM-4:05 PMRoom:150 DE
For Part 2 see MS71 Model-based projections of the dynamics of the polar ice sheets play a central role in anticipating future sea level rise. However, a number of mathematical and computational challenges place significant barriers on improving predictability of these models. These include complex and very high-aspect ratio geometries, highly nonlinear and anisotropic rheology, extremely ill-conditioned (non)linear systems, broad range of length scales, and unknown model parameters that must be inferred from heterogeneous observations, leading to an ill-posed inverse problem and the need to quantify uncertainties in its solution. Speakers in this minisymposium will address these challenges and present recent developments aimed at overcoming them.
Organizer: Noemi PetraUniversity of California, Merced, USA
Organizer: Omar GhattasUniversity of Texas at Austin, USA
Organizer: Irina KalashnikovaSandia National Laboratories, USA
Organizer: Georg StadlerCourant Institute of Mathematical Sciences, New York University, USA
2:25-2:45 Improving Grounding Line Discretization using an Embedded-Boundary Approach in BISICLESDaniel Martin, Peter O. Schwartz, and
Esmond G. Ng, Lawrence Berkeley National Laboratory, USA
2:50-3:10 On the Development and Performance of a First Order Stokes Finite Element Ice Sheet Dynamical Core Built Using Trilinos Software ComponentsIrina Kalashnikova, Andrew Salinger, Mauro
Perego, and Ray S. Tuminaro, Sandia National Laboratories, USA
continued in next columncontinued on next page
2015 SIAM Conference on Computational Science and Engineering 45
3:15-3:35 A Finite Element Three-Dimensional Stokes Ice Sheet Dynamics Model with Enhanced Local Mass ConservationWei Leng, Chinese Academy of Sciences,
China; Lili Ju, University of South Carolina, USA; Max Gunzburger, Florida State University, USA
3:40-4:00 Testing the Multilayer Shallow Shelf Approximation Against Higher-order ModelsGuillaume Jouvet, ETH Zürich, Switzerland
Saturday, March 14
MS47Career Fair: Alternatives to Academia - Part II of III2:25 PM-4:05 PMRoom:255
For Part 1 see MS21 For Part 3 see MS72 The career fair will feature representatives from nonacademic employers from industry and government. These representatives will be prepared to discuss with you the opportunities for internships, postdoctoral appointments and full-time jobs at their organizations.Organizer: William G. KolataSIAM, USA
Organizer: Kristin O’NeillSIAM, USA
This is the most current list at time fo printing.• Argonne National Laboratory
• Boeing
• Hewlett-Packard Laboratories
• Kitware
• Lawrence Berkeley National Laboratory
• Lawrence Livermore National Laboratory
• MathWorks
• MIT Lincoln Laboratory
• National Institute of Standards & Technology
• NSA
• NVIDIA
• Oak Ridge National Laboratory
• Quantlab
The most current list of participating companies is available at www.siam.org/meetings/cse15/career.php.
Saturday, March 14
MS48Efficient and Accurate Solution Techniques for Variable Coefficient Elliptic Partial Differential Equations - Part I of II2:25 PM-4:05 PMRoom:260 A
For Part 2 see MS73 Efficient and accurate numerical methods for solving variable coefficient partial differential equations are important for many applications such as seismic imaging and metamaterial design. A variety of techniques including finite element, discontinuous Galerkin, and integral equation methods have been developed to tackled these challenging problems. This session brings together researchers from a broad range of research communities in an effort to build an understanding of the different techniques and open problems in the field.
Organizer: Adrianna GillmanRice University, USA
Organizer: Lise-Marie Imbert-GérardCourant Institute of Mathematical Sciences, New York University, USA
2:25-2:45 Yee Scheme Coupled with Linear Current in Magnetic Plasmas with Varying CoefficientsBruno Despres, University of Paris VI, France;
Martin Campos Pinto and Stéphane Heuraux, CNRS, France; Filipe da Silva, Instituto Superior Tecnico, Portugal
2:50-3:10 Discontinuous Enrichment Method for Problems with Variable CoefficientsRadek Tezaur and Charbel Farhat, Stanford
University, USA; Irina Kalashnikova, Sandia National Laboratories, USA
3:15-3:35 Approximation of Degenerate Elliptic Equations with Muckenhoupt Coefficients: a priori and a posteriori Analyses and Efficient SolversAbner J. Salgado, University of Tennessee,
USA
3:40-4:00 Application of a Speed Up Fast Direct Solver for the Solution of the Lippmann-Schwinger EquationCarlos C. Borges, Lise-Marie Imbert-Gerard,
and Sivaram Ambikasaran, Courant Institute of Mathematical Sciences, New York University, USA; Leslie Greengard, Simons Foundation and Courant Institute of Mathematical Sciences, New York University, USA
46 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS51Challenges in Computational Cardiac Electrophysiology - Part II of II2:25 PM-4:05 PMRoom:151 G
For Part 1 see MS26 The use of computer simulation to model cardiac electrophysiology, from the cellular level to the whole-organ, has the potential to revolutionise mechanistic understanding, diagnosis and treatment of arrhythmias. These models are often complex and computationally demanding, and integrating the available electrical and imaging data with its inherent uncertainty makes direct clinical utility particularly challenging. This minisymposium highlights the latest advancements and new approaches to modelling cardiac electrophysiology across multiple scales, including imaging and data integration, which will pave the way for developing clinically tractable simulation environments to aid patient treatment in the future.
Organizer: Chris CantwellImperial College London, United Kingdom
Organizer: Frank B. SachseUniversity of Utah, USA
Organizer: Richard ClaytonUniversity of Sheffield, United Kingdom
2:25-2:45 Multi-Scale Modeling in Cardiac Electrophysiology: What Are the Challenges in Front of Us?Zhilin Qu, University of California, Los
Angeles, USA
2:50-3:10 Three-Dimensional Modeling of Ca2+ Signaling in Healthy and Failing CardiomyocytesPeter Kekenes-Huskey, University of
Kentucky, USA
Saturday, March 14
MS50Advances in Radial Basis Function and Other Meshfree Methods - Part II of V2:25 PM-4:05 PMRoom:151 AB
For Part 1 see MS24 For Part 3 see MS75 Meshfree methods have many inherent properties that make them useful for a variety of problems in science and engineering, from fitting data to numerically solving differential equations. Such methods offer geometric flexibility, non-uniform resolution, and advantageous trade-offs between accuracy and computational costs. This minisymposium focuses primarily on methods based on radial basis functions and other more general kernels. The talks will address recent advances in the application of these methods to large-scale problems in biology, geophysics, image processing, and finance, as well as theoretical advances in the methods themselves.
Organizer: Varun ShankarUniversity of Utah, USA
Organizer: Grady B. WrightBoise State University, USA
2:25-2:45 Quadrature on Spheres and Other Manifolds Based on KernelsJoseph Ward, Texas A&M University, USA
2:50-3:10 Solving PDEs on the Sphere via Novel Galerkin Method using Highly Localized Kernel BasesFrancis J. Narcowich, Joseph Ward, and
Stephen Rowe, Texas A&M University, USA
3:15-3:35 Compact Scattered RBF-FD Stencils for PDEs on SurfacesErik Lehto, Royal Institute of Technology,
Stockholm, Sweden; Varun Shankar, University of Utah, USA; Grady B. Wright, Boise State University, USA
3:40-4:00 A Least Squares-RBF Approach to Transport Problems on SurfacesDaryl J. Springer, Arizona State University,
USA
Saturday, March 14
MS49Recent Developments of DG/WENO Methods for Partial Differential Equations - Part II of II2:25 PM-4:05 PMRoom:260B
For Part 1 see MS23 This minisymposium is to bring people together to discuss the recent advances and exchange ideas in the algorithm design of discontinuous Galerkin (DG) method and weighted essentially nonoscillatory (WENO) method, including the implementation, numerical analysis of those high-order numerical methods for solving partial differential equations. In the minisymposium, the speakers will apply those high-order numerical methods to computational fluid, biology and physics, etc. This minisymposium is a good opportunity for people to discuss with researchers from different areas, and explore more applications and future research collaborations.
Organizer: Juan ChengInstitute of Applied Physics and Computational Mathematics, China
Organizer: Yang YangMichigan Technological University, USA
2:25-2:45 Runge-Kutta Discontinuous Galerkin Methods for the Relativistic Vlasov-Maxwell SystemHe Yang and Fengyan Li, Rensselaer
Polytechnic Institute, USA
2:50-3:10 Superconvergence of Discontinuous Galerkin Methods for Hyperbolic Equations in Two Space DimensionsWaixiang Cao, Beijing Computational Science
Research Center, China; Yang Yang, Michigan Technological University, USA; Zhimin Zhang, Wayne State University, USA; Chi-Wang Shu, Brown University, USA
3:15-3:35 A Simple DG Scheme for Acoustic Wave Equations with Curved Interfaces and BoundariesXiangxiong Zhang, Purdue University, USA
3:40-4:00 Runge-Kutta Discontinuous Galerkin Method with a Simple and Compact Hermit Weno LimiterJun Zhu, Nanjing University of Aeronautics
and Astronautics, China; Xinghui Zhong, Michigan State University, USA; Chi-Wang Shu, Brown University, USA; Jianxian Qiu, Xiamen University, China
continued on next page
2015 SIAM Conference on Computational Science and Engineering 47
Saturday, March 14
MS53Data-methods for Complex Systems - Part III of III4:35 PM-6:15 PMRoom:355 A
For Part 2 see MS28 Data-driven methods are transforming the engineering, physical and biological sciences. Indeed, innovative uses of machine learning, dimensionality reduction, sparse sensing, and/or network characterization techniques are allowing for significant advances in engineering designs for the prediction and control of highly complex, often networked, systems. This minisymposium brings together experts who are integrating together one or more of the aforementioned methodologies with the goal of providing transformative analytic tools and algorithms for characterizing the underlying, low-dimensional, dynamics of the complex system.
Organizer: J. Nathan KutzUniversity of Washington, USA
Organizer: Steven BruntonUniversity of Washington, USA
Organizer: Joshua ProctorInstitute for Disease Modeling, USA
4:35-4:55 Discovering Underlying Nonlinear Dynamics of Complex Systems from DataSteven Brunton, University of Washington,
USA
5:00-5:20 Common Manifold Learning Using Alternating Diffusion for Multimodal Signal ProcessingRonald Coifman and Roy Lederman, Yale
University, USA; Ronen Talmon, Technion Israel Institute of Technology, Israel
5:25-5:45 Title Not Available at Time of PublicationSurya Ganguli, Stanford University, USA
5:50-6:10 Data-Driven Model Reduction to Support Decision Making in Complex SystemsKaren E. Willcox, Massachusetts Institute of
Technology, USA
Saturday, March 14
MS52Featured Minisymposium: Modeling and Computing Complex Flows4:35 PM-6:15 PMRoom:355
Computation of unsteady multifluid flows is one of the more challenging problems in computational science. Nevertheless, considerable progress has been made in the development of numerical methods to follow the convoluted motion of complex interfaces separating different fluid phases, for a broad range of governing parameters. These successes are making it possible to pursue even more advanced problems, including additional physics and even large range of scales, as well as making it urgent to develop sophisticated models that take advance of the new data. In this minisymposium we will explore the state of the art and discuss future challenges.
Organizer: Gretar TryggvasonUniversity of Notre Dame, USA
4:35-4:55 Direct Numerical Simulations of Multiphase Flow: Now What?Gretar Tryggvason, University of Notre
Dame, USA
5:00-5:20 Modeling and Simulation of Multimaterial Compressible FlowsMarianne M. Francois, Los Alamos National
Laboratory, USA
5:25-5:45 Methods for Computing Turbulent Phase Interface Dynamics Across Multiple ScalesMarcus Herrmann, Arizona State University,
USA
5:50-6:10 Conservative and Accurate Geometric Transport Methods for Discontinuous Variables in Turbulent Multi-physics Two-phase FlowsOlivier Desjardins, Cornell University, USA
3:15-3:35 High-Order Finite Element Methods for Cardiac ElectrophysiologyChris Cantwell, Imperial College London,
United Kingdom; Sergey B. Yakovlev, University of Utah, USA; Rheeda Ali and Nicholas Peters, Imperial College London, United Kingdom; Mike Kirby, University of Utah, USA; Spencer Sherwin, Imperial College London, United Kingdom
3:40-4:00 Assessing the Credibility of Computational Models of Cardiac ElectrophysiologyPras Pathmanathan and Richard Gray, U.S.
Food and Drug Administration, USA
Coffee Break4:05 PM-4:35 PMRoom:255
48 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS56Efficient Methods for Uncertainty Quantification by Means of Tensor Format Representations4:35 PM-6:15 PMRoom:250 B
In this minisymposium we introduce new effective tensor methods for quantification of uncertainties, analysis of high dimensional data, which may come from, e.g. stochastic or multi- parametric PDEs. Tensor format representations can be used for fast (with almost linear complexity) computing different statistics and values of interest, such as mean, covariance, exceedance probabilities, confidence intervals, sensitivity indices and cumulative distribution function. A very important issue to discuss is inexact recursive iteration schemes as well as tensor rank truncation. A special attention will be devoted to the non-intrusive implementation of tensor methods for uncertainty quantification.
Organizer: Alexander LitvinenkoKing Abdullah University of Science & Technology (KAUST), Saudi Arabia
Organizer: Mike EspigRWTH - Aachen University of Technology, Germany
Organizer: Hermann MatthiesTU Braunschweig, Germany
4:35-4:55 Tensor Format Representations and Optimal Model Reduction for Uncertainty QuanticationMike Espig, RWTH - Aachen University of
Technology, Germany
5:00-5:20 High-Dimensional Tensor SamplingLars Grasedyck, RWTH - Aachen University
of Technology, Germany; Jonas Ballani, EPFL, France; Melanie Kluge, RWTH Aachen University, Germany
5:25-5:45 Novel Tensor-Product Representations for Uncertaintiy QuantificationReinhold Schneider, Technische Universität
Berlin, Germany
5:50-6:10 Hierarchical Tensor Approximation of Parameter-Dependent PDEsJonas Ballani, EPFL, France; Lars Grasedyck,
RWTH - Aachen University of Technology, Germany; Daniel Kressner, EPFL, Switzerland
Saturday, March 14
MS55Adaptive Model Order Reduction - Part III of III4:35 PM-6:15 PMRoom:250 A
For Part 2 see MS30 Classical model reduction follows a static approach where the reduced-order model is built once in the offline phase and then remains unchanged in the online phase. Adaptive model reduction breaks with this rigid splitting and adapts the reduced order model online. Such adaptive techniques include localization approaches, where one of several pre-computed local models is selected depending on the current state of the system; dictionary approaches, where the reduced basis is assembled on demand from pre-computed basis vectors; and updating methods, which incorporate new data or other information in the reduced-order model.
Organizer: Benjamin PeherstorferMassachusetts Institute of Technology, USA
Organizer: David AmsallemStanford University, USA
4:35-4:55 Numerical Study of Local Reduced Basis with Adaptive Training for Incompressible Navier-Stokes FlowsYuqi Wu and Ulrich Hetmaniuk, University
of Washington, USA
5:00-5:20 Real-Time Data-to-Decision Using Adaptive Surrogate Modeling StrategiesLaura Mainini and Karen E. Willcox,
Massachusetts Institute of Technology, USA
5:25-5:45 An Occam’s Razor Strategy for Field Estimation from Wall-Mounted SensorsKevin Kasper, ENS Cachan, France; Lionel
Mathelin, CNRS, France; Mohamed Abbas-Turki and Hisham Abou-Kandil, ENS Cachan, France
5:50-6:10 Thermal Reduced Order Model Adaptation to Aero-Thermo-Structural InteractionsAndrew Matney and Marc P. Mignolet,
Arizona State University, USA
Saturday, March 14
MS54Computationally Intensive Signature Discovery4:35 PM-6:15 PMRoom:355 D
A signature is a unique or distinguishing measurement, pattern, or collection of data that predicts, detects, or identifies a phenomenon of interest. Signature discovery challenges are commonplace in numerous domains, and they typically involve the following steps: hypothesis generation, identifying observables, specifying the measurement technique, data collection, storage, and manipulation, feature extraction, classification, and validation. The process often requires complex computational tools and methods for data processing and analysis. In this session, we will provide an overview of signature discovery, discuss relevant mathematical and computational tools, and examine signature applications in medical imaging, insect neurology, and social/organizational networks.
Organizer: Landon H. SegoPacific Northwest National Laboratory, USA
4:35-4:55 Computational Tools and Methods for Signature Discovery (Session Overview)Landon H. Sego, Pacific Northwest National
Laboratory, USA
5:00-5:20 Statistics, Learning, and Optimization for Data Analysis and VisualizationRoss Whitaker, University of Utah, USA
5:25-5:45 Computational Analysis of Ensemble Neural Data Recorded From An Insect BrainDebajit Saha, Chao Li, and Barani Raman,
Washington University in St. Louis, USA
5:50-6:10 PhySense: Social and Organizational Network Activity Simulation for Signature Generation and ExtractionVikram Jandhyala and Arun Sathanur,
University of Washington, USA
2015 SIAM Conference on Computational Science and Engineering 49
Saturday, March 14
MS59Advances in Algorithms for Uncertainty Quantification in Large-scale Inverse Problems - Part III of III4:35 PM-6:15 PMRoom:250 E
For Part 2 see MS34 Quantification of uncertainty in large-scale inverse problems governed by partial differential equations presents significant challenges due to computationally expensive parameter-to-observable maps and high-dimensional parameter spaces. This minisymposium presents recent advances in algorithms that make UQ for large-scale linear and nonlinear inverse problems tractable by exploiting problem structure.
Organizer: George BirosUniversity of Texas at Austin, USA
Organizer: Omar GhattasUniversity of Texas at Austin, USA
Organizer: Youssef M. MarzoukMassachusetts Institute of Technology, USA
Organizer: Georg StadlerCourant Institute of Mathematical Sciences, New York University, USA
4:35-4:55 Mapped Stochastic Newton SamplingGeorg Stadler, Courant Institute of
Mathematical Sciences, New York University, USA; Omar Ghattas, University of Texas at Austin, USA; Noemi Petra, University of California, Merced, USA
5:00-5:20 Operator Weighted MCMC on Function SpacesTiangang Cui, Massachusetts Institute of
Technology, USA; Kody Law, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Youssef M. Marzouk, Massachusetts Institute of Technology, USA
5:25-5:45 Regularising Ensemble Kalman Methods for PDE-Constrained Inverse ProblemsMarco Iglesias, University of Nottingham,
United Kingdom
5:50-6:10 Estimation of Parameters of Chaotic Dynamic SystemsHeikki Haario, Lappeenranta University of
Technology, Finland
Saturday, March 14
MS58Active Subspaces for Dimension Reduction: Theory and Applications - Part III of III4:35 PM-6:15 PMRoom:250 D
For Part 2 see MS33 Parameter studies like uncertainty quantification and optimization are infeasible for complex simulations with more than a handful of inputs. When a simulation contains several inputs, the engineer may seek an alternative parameterization with fewer variables to enable such studies. Active subspaces are an emerging set of tools for dimension reduction in complex models. The active subspace is a set of directions in the space of input variables that correspond to greater change, on average, in a quantity of interest. This minisymposium will explore (i) recent developments in algorithms that exploit active subspaces and (ii) applications from across engineering disciplines.
Organizer: Paul ConstantineColorado School of Mines, USA
4:35-4:55 Influence of Surface and Subsurface Parameter Uncertainty and Sensitivity on the Latent Heat Flux Using An Integrated Hydrologic ModelJennifer Jefferson and Reed M. Maxwell,
Colorado School of Mines, USA
5:00-5:20 Dimension Reduction in MCMC using Active SubspacesCarson Kent and Paul Constantine, Colorado
School of Mines, USA
5:25-5:45 Exploiting Active Subspaces to Quantify Uncertainty in the Numerical Simulation of the HyShot II ScramjetMichael A. Emory and Gianluca Iaccarino,
Stanford University, USA; Johan Larsson, University of Maryland, USA
5:50-6:10 Discovering An Active Subspace in a Single-Diode Solar Cell ModelMark Campanelli, National Renewable
Energy Laboratory, USA; Brian Zaharatos, Colorado School of Mines, USA
Saturday, March 14
MS57Computational Techniques for Time Dependent Coupled Multiphysics and Multiscale Problems - Part III of III4:35 PM-6:15 PMRoom:250 C
For Part 2 see MS32 The simulation of multiphysics and multiscale systems is important for a wide range of applications including fluid structure interaction and conjugate heat transfer. Of particular interest is the formulation of solvers built by reusing codes for the various subproblems for which it is common to use ad hoc coupling or time integration schemes. This minisymposium discusses new and practical approaches to advance the state of the art, and to help bridge the gap between researchers working in the various fields. Important aspects include time adaptivity, high order methods, multirate schemes, stability, extrapolation, coupling conditions, and the overall solver performance.
Organizer: Jeffrey W. BanksRensselaer Polytechnic Institute, USA
Organizer: Philipp BirkenLund University, Sweden
4:35-4:55 Fluid-composit Structure InteractionSuncica Canic, University of Houston, USA;
Martina Bukac, University of Notre Dame, USA; Boris Muha, University of Zagreb, Croatia
5:00-5:20 Fractional Modeling of Brain AneurysmsYue Yu, Lehigh University, USA; George E.
Karniadakis, Brown University, USA
5:25-5:45 A Tetrahedral Method for Transient Nonlinear Dynamics Computations in Solids, Fluids and Coupled Fluid Structure ProblemsGuglielmo Scovazzi and Xianyi Zeng, Duke
University, USA; Brian Carnes and David Hensinger, Sandia National Laboratories, USA
5:50-6:10 Second Order Embedded Boundary Methods for Fluid-Structure InteractionAlex Main and Charbel Farhat, Stanford
University, USA
50 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS62Theory Implementation and Applications of HDG Methods - Part I of II4:35 PM-5:50 PMRoom:251 B
For Part 2 see MS87 In this minisymposium, we will discuss the latest advancements related to the hybrid discontinuous Galerkin (HDG) method. HDG applies a static condensation technique within the DG framework, so that the only globally coupled degrees of freedom are those located on the mesh skeleton or trace space, greatly reducing the global system size. The method is also promising for its applicability to current and emerging parallel architectures. The HDG method has proven to be a popular method and has been applied to a variety of problems such as, steady-state diffusion, Maxwell’s equations, convection-diffusion problems, elastodynamics, Stokes and incompressible Navier-Stokes equations.
Organizer: Hari SundarUniversity of Utah, USA
Organizer: Tan Bui-ThanhUniversity of Texas at Austin, USA
Organizer: Cuong NguyenMassachusetts Institute of Technology, USA
4:35-4:55 Parallel hp-multigrid for HDGTan Bui, University of Texas at Austin,
USA; Hari Sundar, University of Utah, USA
5:00-5:20 HDG Methods for the p-LaplacianBernardo Cockburn, University of
Minnesota, Minneapolis, USA; Jiguang Shen, University of Minnesota, USA
5:25-5:45 HDG Method for Linear ElasticityWeifeng Qiu, City University of Hong Kong,
Hong Kong
Saturday, March 14
MS61Recent Advances in Nuclear Quantum Many-body Computation4:35 PM-6:15 PMRoom:251 A
The nuclear quantum many-body problem is a fundamental problem in nuclear physics. Hurdles in solving this problem include a very strong interaction, three-nucleon interactions, and complicated collective motion dynamics. In recent years, significant progress has been made to overcome these difficulties. In particular, the configuration interaction (CI) method, which requires solving a large-scale eigenvalue problem, has become very efficient on modern high performance computers. New optimization algorithms have been developed to fine tune model parameters and to extrapolate computational results. These new techniques will be described and discussed in this minisymposium.
Organizer: Meiyue ShaoLawrence Berkeley National Laboratory, USA
4:35-4:55 Add, Multiply, Divide and Conquer: On-the-fly Algorithms for Many-body CalculationsCalvin W. Johnson, San Diego State
University, USA
5:00-5:20 Derivative-free Optimization Techniques in ab initio Nuclear Structure CalculationsMasha Sosonkina, Old Dominion University,
USA
5:25-5:45 Symmetry-adapted No-core Shell Model for First Principle Lage Scale Computations of Atomic NucleiTomas Dytrych, Louisiana State University,
USA
5:50-6:10 Multi-Level LOBPCG Method in MFDnMeiyue Shao, Lawrence Berkeley National
Laboratory, USA
Saturday, March 14
MS60Surrogate Global and Integer Optimization for Computationally Expensive Simulations4:35 PM-6:15 PMRoom:250 F
Optimization applications in STEM disciplines often require evaluating a computationally expensive simulation-based objective function (several minutes to hours/simulation). An analytical description of the objective function, its derivatives, and the number of local minima are not available (black-box) and can thus not be exploited by the optimization algorithm. Surrogate models have been developed for continuous optimization to cheaply approximate the objective function and efficiently find the global minimum. However, few surrogate model algorithms exist that are able to address the following: integer variables, incorporation of partial information, and/or efficient parallel computation, all of which will be discussed in this minisymposium.
Organizer: Juliane MuellerLawrence Berkeley National Laboratory, USA
Organizer: David BindelCornell University, USA
Organizer: Christine A. ShoemakerCornell University, USA
4:35-4:55 Miso: Mixed-Integer Surrogate Optimization for Computationally Expensive Black-Box ProblemsJuliane Mueller, Lawrence Berkeley
National Laboratory, USA
5:00-5:20 RBF Response Surfaces with Inequality ConstraintsDavid Bindel, Cornell University, USA
5:25-5:45 Efficient Multi-Start for Global Optimization in Accelerator DesignJeffrey M. Larson and Stefan Wild, Argonne
National Laboratory, USA
5:50-6:10 Parallel Surrogate Global Optimization with Pareto Centers for Single Objective Expensive FunctionsChristine A. Shoemaker, Tipaluck
Krityakierne, and Taimoor Akhtar, Cornell University, USA
2015 SIAM Conference on Computational Science and Engineering 51
Saturday, March 14
MS65NSF-SIAM Symposium on Mathematical and Computational Aspects of Materials Science - Part III of III4:35 PM-6:15 PMRoom:251 E
For Part 2 see MS40 The materials science community has embarked on various large-scale computational projects. We mention the materials genome project---a broad survey of thousands of materials---and several deep-mining projects of a few selected materials. These projects offer interesting opportunities for mathematical and computational scientists to advance the state of the art in materials research by developing mathematical models, computational algorithms, and tools for data analysis. The Division of Materials Research (DMR) and Division of Mathematical Sciences (DMS) of the National Science Foundation are encouraging collaborations of mathematicians and materials scientists through several mechanisms (MSII, DMREF, etc.). The speakers in this symposium will will highlight opportunities for joint research projects.
Organizer: Hans G. KaperArgonne National Laboratory and Georgetown University, USA
4:35-4:55 Materials from MathematicsRichard James, University of Minnesota,
USA
5:00-5:20 Computational Materials Design: Challenges in Practical ApplicationsSadasivan Shankar, Harvard University,
USA
5:25-5:45 Title Not Available at Time of PublicationMichael S. Vogelius, Rutgers University,
New Brunswick, USA
5:50-6:10 Title Not Available at Time of PublicationMary Galvin-Donoghue, National Science
Foundation, USA
Saturday, March 14
MS64Efficient High-order Numerical Methods for Nonlinear PDEs - Part II of II4:35 PM-6:15 PMRoom:251 D
For Part 1 see MS15 Recent years have seen growing trends in the development of efficient high-order numerical schemes for nonlinear PDEs including hyperbolic equations, Hamilton-Jacobi equations, and quantum and kinetic models. Many challenges in computational efficiency, accuracy, multi-scales, and theoretical foundations are actively addressed for various applications. This minisymposium will bring together researchers to exchange ideas and recent developments in these fields, with applications such as rarefied gas dynamics, semi-conductor simulation, optimal transportation and optimal control.
Organizer: Yingda ChengMichigan State University, USA
Organizer: Fengyan LiRensselaer Polytechnic Institute, USA
4:35-4:55 High Order Methods for Traveltime and Amplitude in Geometrical OpticsSongting Luo, Iowa State University, USA;
Jianliang Qian, Michigan State University, USA; Robert Burridge, University of New Mexico, USA
5:00-5:20 High-Order Gas Evolution Model for Computational Fluid DynamicsKun Xu, University of Science &
Technology, Hong Kong
5:25-5:45 An Efficient Spectral Method for the Euler-Lagrange Equations of Minimum Action MethodsHaijun Yu, Institute of Computational
Mathematics, China; Xiaoliang Wan, Louisiana State University, USA
5:50-6:10 Higher-Order Filtered Methods for Nonlinear Partial Differential EquationsBrittany Froese, University of Texas at
Austin, USA; Adam M. Oberman, McGill University, Canada
Saturday, March 14
MS63Innovative Algorithms for Eigenvalue and Singular Value Decomposition - Part III of III4:35 PM-6:15 PMRoom:251 C
For Part 2 see MS38 The minisymposium will focuses on the first steps taken on the development of novel software methodologies and algorithm for the next generation of HPC systems. Some scale challenges will be addressed; the goal is to close the “application-architecture peak performance gap” by exploring algorithms and runtime improvements that will enable key science applications to better exploit the architectural features of the extreme-scale systems. The contributed talks will cover new approaches that can overcome the limitations of existing dense/sparse eigensolver libraries on platforms that require fine granularity and memory-aware computational tasks combined with asynchronism in parallel execution.
Organizer: Azzam HaidarUniversity of Tennessee, Knoxville, USA
Organizer: Piotr LuszczekUniversity of Tennessee, Knoxville, USA
Organizer: Stanimire TomovUniversity of Tennessee, Knoxville, USA
4:35-4:55 Revisiting SVD(A) through EIG(T) for Sca/LAPACKOsni A. Marques, Lawrence Berkeley
National Laboratory, USA
5:00-5:20 Solving a Parameterized Eigenvalue Problem from Regularized Total Least SquaresJesse L. Barlow, Geunseop Lee, and
Haoying Fu, Pennsylvania State University, USA
5:25-5:45 Performance Evaluation of EigenExa Dense Eigensolver on the Oakleaf-Fx Supercomputer SystemTakeshi Fukaya and Toshiyuki Imamura,
RIKEN, Japan
5:50-6:10 Scaling Comparison of Dense Eigensolvers and Purification Techniques to Large Node CountsXing Liu and Edmond Chow, Georgia
Institute of Technology, USA
52 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS68Parallel Programming Models, Algorithms and Frameworks for Extreme Computing - Part III of III4:35 PM-6:15 PMRoom:254 B
For Part 2 see MS43 Multicore/manycore processors and accelerators are universally available as both collections of homogeneous standard microprocessors and as attached heterogeneous co-processors. Application and library software developers may often effectively use these processors and some general approaches have emerged. It is widely recognized that careful design of software and data structures, with effective memory management, are the most critical issues to obtain scalable optimized performance on those systems. In these minisymposia we discuss current experiences and development of applications, libraries and frameworks using a variety of hardware. Speakers will address performance results and software design.
Organizer: Kengo NakajimaUniversity of Tokyo, Japan
Organizer: Michael HerouxSandia National Laboratories, USA
Organizer: Serge G. PetitonCNRS/LIFL and INRIA, France
4:35-4:55 Intelligent Iterative Methods: the Future of Parallel and Distributed Runtime Tuned Linear Algebra?Serge G. Petiton, CNRS/LIFL and INRIA,
France
5:00-5:20 Performance of Algebraic Multigrid Preconditioners for Large-Scale Finite Element SimulationsPaul Lin and John Shadid, Sandia National
Laboratories, USA
5:25-5:45 Divide and Conquer Algorithms for Large Hermitian Eigenvalue ProblemsYousef Saad, University of Minnesota, USA;
Vasilis Kalantzis, University of Patras, Greece
5:50-6:10 Unit and Conquer Algorithms for Large Eigenvalue ProblemsNahid Emad, University of Versailles, France
Saturday, March 14
MS67The Development of Unstructured High Order Methods for Industrial Scale-resolving Simulations4:35 PM-6:15 PMRoom:254 A
Through their algorithmic efficiency and guaranteed accuracy, unstructured high-order methods (HOM) seem to provide enabling technology for accurate, adaptive and timely scale-resolving simulations in complex geometries. This minisymposium addresses the following topics - development or the adaptation of LES subgrid scale models and hybrid/wall models in close interaction with the discretisation; - assessment on academic benchmarks, including on irregular meshes; - development of hp-adaptive strategies; - industrial applications; - practical aspects such as large scale parallellisation, non-matching connections, post or co-processing .... Both finite element-like methods (DGM, SDM, FR, RDS, ...) as well as high- order FVM or FDM are considered.
Organizer: Koen HillewaertCENAERO, Belgium
Organizer: Andrea D. BeckUniversity of Stuttgart, Germany
4:35-4:55 The Application of High Order Dgm for Resolved and Wall-Modeled Les of Full Scale Turbomachinery PassagesKoen Hillewaert and Corentin Carton de
Wiart, CENAERO, Belgium; Guillaume Verheylewegen, Université Catholique de Louvain, Belgium; Ariane Frère, CENAERO, Belgium
5:00-5:20 The Use of Residual-Based Compact Schemes for Industrial LesPaola Cinnella, ENSAM, ParisTech, France;
Cédric Content and Luca Sciacovelli, Arts et Metiers PARISTECH, France
5:25-5:45 Validation of a High-Order Implicit Les Solver for the Simulation of a Low-Reynolds-Number Vertical-Axis Wind TurbineSamuel Kanner and Per-Olof Persson,
University of California, Berkeley, USA
5:50-6:10 Applications of the Spectral/hp Element Method to Complex Flow GeometriesDavid Moxey, Joaquim Peiro, and Spencer
Sherwin, Imperial College London, United Kingdom
Saturday, March 14
MS66Volume Penalty and Fourier Methods for PDEs on Irregular Domains - Part II of II4:35 PM-6:15 PMRoom:251 F
For Part 1 see MS41 Volume penalty methods allow one to extend the domain that a partial differential equation is defined on (ie. an irregular geometry) to that of a simple rectangular domain through the addition of a volume penalty, forcing term. The resulting penalized equations then provide a flexible and efficient framework for solving (moving) interface and boundary problems via a solution using I) equispaced grids, ii) Nonconforming FEM, iii) Fourier methods. This minisymposium brings together mathematicians and practitioners to discuss both theoretical aspects such as convergence rates and stability, as well as applications and simulations of physical phenomena.
Organizer: David ShirokoffNew Jersey Institute of Technology, USA
4:35-4:55 New Active Penalty Methods with Applications to Fluid FlowJean-Christophe Nave, McGill University,
Canada
5:00-5:20 Penalty Methods for the Hyperbolic System Modeling the Wall-Plasma Interaction in a TokamakPhilippe Angot, Thomas Auphan, and Olivier
Guès, Aix-Marseille Université, France
5:25-5:45 A Dispersionless Fourier Method for the Maxwell Equations Using Volume PenalizationRyan Galagusz, McGill University, Canada
5:50-6:10 Fourier based PDE Solution on Complex DomainsMark Lyon, University of New Hampshire,
USA
2015 SIAM Conference on Computational Science and Engineering 53
5:00-5:20 Effective High-Order Diffusive Moment Closures with the StaRMAP SoftwareBenjamin Seibold, Temple University, USA;
Martin Frank, RWTH - Aachen University of Technology, Germany
5:25-5:45 An Asymptotic-preserving Scheme for Linear Kinetic Equation with Fractional Diffusion LimitLi Wang, University of California, Los
Angeles, USA
5:50-6:10 Energy-Conserving Schemes for Vlasov-Type SystemsYingda Cheng, Michigan State University,
USA
Saturday, March 14
MS70Computational Methods for Kinetic Equations and Related Models - Part III of V4:35 PM-6:15 PMRoom:150 AB
For Part 2 see MS45 For Part 4 see MS95 Kinetic descriptions play an important role in a variety of physical, biological, and even social applications. Unfortunately, the large phase space associated with the kinetic description has in the past made simulations impractical in most settings. However, recent advances in computer resources and numerical algorithms are making kinetic models more tractable, and this trend is expected to continue in the future. The purpose of this minisymposium is to report on the continuing progress on numerical analysis and computational science for kinetic equations. It brings together researchers from applied mathematics, computational science, physics, and engineering communities to discuss their work and exchange ideas.
Organizer: Martin FrankRWTH - Aachen University of Technology, Germany
Organizer: Cory HauckOak Ridge National Laboratory, USA
Organizer: Ryan G. McClarrenTexas A&M University, USA
Organizer: Jingmei QiuUniversity of Houston, USA
Organizer: Jeffrey A. WillertLos Alamos National Laboratory, USA
4:35-4:55 High Order Asymptotic Preserving Projective Integration MethodsPauline Lafitte, Ecole Centrale Paris, France;
Annelies Lejon, Ward Melis, and Giovanni Samaey, Katholieke Universiteit Leuven, Belgium
Saturday, March 14
MS69One-Shot Methods for Optimization with PDEs4:35 PM-6:15 PMRoom:254 C
One-shot methods for optimization with PDEs aim at achieving simultaneously convergence of the primal PDE state equation, the adjoint state equation and the design equation. The direction and size of the one-shot optimization steps are usually determined by carefully selected design space preconditioners. It turns out, that one-shot methods enable quite often designs for the computational effort of a small, constant multiple of the effort of a simulation, especially if the primal PDE solve is very expensive. The minisymposium presents recent developments in the field of one-shot methods for optimization with PDEs and its potential by showing large scale applications.
Organizer: Andrea WaltherUniversität Paderborn, Germany
Organizer: Nicolas R. GaugerTechnische Universität Kaiserslautern, Germany
4:35-4:55 Augmenting the One-Shot Framework by Additional ConstraintsTorsten F. Bosse, Argonne National
Laboratory, USA; Andreas Griewank, Humboldt University Berlin, Germany
5:00-5:20 Towards Second Order One-Shot Methods in the Context of Shape CalculusVolker H. Schulz, University of Trier,
Germany
5:25-5:45 Fixed-Point Iterations for Simultaneous One-Shot Optimization of Unsteady FlowsStefanie Günther, Technical University
Kaiserslautern, Germany; Nicolas R. Gauger, Technische Universität Kaiserslautern, Germany; Qiqi Wang, Massachusetts Institute of Technology, USA
5:50-6:10 On An Extension of the Augmented Lagrangian Approach for One-Shot OptimizationAndrea Walther, Universität Paderborn,
Germany; Nicolas R. Gauger, Technische Universität Kaiserslautern, Germany
continued in next column
54 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS72Career Fair: Alternatives to Academia - Part III of III4:35 PM-6:15 PMRoom:255
For Part 2 see MS47 The career fair will feature representatives from nonacademic employers from industry and government. These representatives will be prepared to discuss with you the opportunities for internships, postdoctoral appointments and full-time jobs at their organizations.
Organizer: William G. KolataSIAM, USA
Organizer: Kristin O’NeillSIAM, USA
This is the most current list at time fo printing.• Argonne National Laboratory
• Boeing
• Hewlett-Packard Laboratories
• Kitware
• Lawrence Berkeley National Laboratory
• Lawrence Livermore National Laboratory
• MathWorks
• MIT Lincoln Laboratory
• National Institute of Standards & Technology
• NSA
• NVIDIA
• Oak Ridge National Laboratory
• Quantlab
The most current list of participating companies is available at www.siam.org/meetings/cse15/career.php.
5:25-5:45 Advances on Ice-Sheet Model Initialization using the First Order ModelMauro Perego, Sandia National
Laboratories, USA; Stephen Price, Los Alamos National Laboratory, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Michael S. Eldred, Sandia National Laboratories, USA; Charles Jackson, University of Texas at Austin, USA; John D. Jakeman, Irina Kalashnikova, and Andrew Salinger, Sandia National Laboratories, USA
5:50-6:10 Uncertainty Quantification for Large-Scale Bayesian Inverse Problems with Application to Ice Sheet ModelsNoemi Petra, University of California,
Merced, USA; Toby Isaac, University of Texas at Austin, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Omar Ghattas, University of Texas at Austin, USA
Saturday, March 14
MS71Advances in Large-scale Forward and Inverse Ice Sheet Modeling - Part II of II4:35 PM-6:15 PMRoom:150 DE
For Part 1 see MS46 Model-based projections of the dynamics of the polar ice sheets play a central role in anticipating future sea level rise. However, a number of mathematical and computational challenges place significant barriers on improving predictability of these models. These include complex and very high-aspect ratio geometries, highly nonlinear and anisotropic rheology, extremely ill-conditioned (non)linear systems, broad range of length scales, and unknown model parameters that must be inferred from heterogeneous observations, leading to an ill-posed inverse problem and the need to quantify uncertainties in its solution. Speakers in this minisymposium will address these challenges and present recent developments aimed at overcoming them.
Organizer: Noemi PetraUniversity of California, Merced, USA
Organizer: Omar GhattasUniversity of Texas at Austin, USA
Organizer: Irina KalashnikovaSandia National Laboratories, USA
Organizer: Georg StadlerCourant Institute of Mathematical Sciences, New York University, USA
4:35-4:55 Multilevel Methods for Forward and Inverse Ice Sheet ModelingToby Isaac, University of Texas at Austin,
USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Omar Ghattas, University of Texas at Austin, USA
5:00-5:20 Assessment of Finite Element Schemes for Accurate Modeling of the Grounding LineMathieu Morlighem, University of
California, Irvine, USA; Jerome Monnier, Institut de Mathématiques de Toulouse, France; Helene Seroussi, California Institute of Technology, USA; Nathan Martin, CNRS, France
continued in next column
2015 SIAM Conference on Computational Science and Engineering 55
Saturday, March 14
MS74Large-Scale Inversion and Uncertainty Mitigation4:35 PM-6:15 PMRoom:260 B
On top of the conventional challenges that inversion introduces, such as appropriate incorporation of a-priori information and experimental design, inversion of large-scale problems requires consideration of the interplay between model reduction and model misspecification as well as means for uncertainty quantification and mitigation. In this minisymposium session, we shall explore various algorithmic strategies to handle these aspects.
Organizer: Lior HoreshIBM T.J. Watson Research Center, USA
Organizer: Stephen BeckerUniversity of Colorado Boulder, USA
4:35-4:55 Fast Algorithms for Linear Inverse Problems with Gaussian PriorsKenneth L. Ho and Lexing Ying, Stanford
University, USA
5:00-5:20 Accelerating MCMC with Parallel Local ApproximationsPatrick R. Conrad and Youssef M. Marzouk,
Massachusetts Institute of Technology, USA; Natesh Pillai, Harvard University, USA; Aaron Smith, University of Ottawa, Canada
5:25-5:45 Random Matrix Models for the Representation of Model Inadequacy: A Case Study in Chemical KineticsRebecca Morrison and Robert D. Moser,
University of Texas at Austin, USA
5:50-6:10 Convex Relaxations of Polynomial Imaging ProblemsLaurent Demanet and Augustin Cosse,
Massachusetts Institute of Technology, USA
5:50-6:10 A Polarized-Trace Preconditioner for 2D Helmholtz and Frequency Domain Full-Waveform InversionRussell Hewett, Total E&P, USA; Leonardo
Zepeda-Nunez and Laurent Demanet, Massachusetts Institute of Technology, USA
Saturday, March 14
MS73Efficient and Accurate Solution Techniques for Variable Coefficient Elliptic Partial Differential Equations - Part II of II4:35 PM-6:15 PMRoom:260 A
For Part 1 see MS48 Efficient and accurate numerical methods for solving variable coefficient partial differential equations are important for many applications such as seismic imaging and metamaterial design. A variety of techniques including finite element, discontinuous Galerkin, and integral equation methods have been developed to tackled these challenging problems. This session brings together researchers from a broad range of research communities in an effort to build an understanding of the different techniques and open problems in the field.
Organizer: Adrianna GillmanRice University, USA
Organizer: Lise-Marie Imbert-GérardCourant Institute of Mathematical Sciences, New York University, USA
4:35-4:55 Generalized Plane Waves Adapted to Varying CoefficientsLise-Marie Imbert-Gérard, Courant Institute
of Mathematical Sciences, New York University, USA
5:00-5:20 Fast Multipole Method as a Preconditioner for Finite Discretizations of Elliptic Boundary Value ProblemsHuda Ibeid, Rio Yokota, and David E. Keyes,
King Abdullah University of Science & Technology (KAUST), Saudi Arabia
5:25-5:45 Fast Direct Solver based on the Cyclic Reduction Algorithm and Hierarchical Matrix Arithmetic for the Solution of Variable-coefficient Elliptic PDEsGustavo Chavez, King Abdullah University
of Science & Technology (KAUST), Saudi Arabia; George M. Turkiyyah, American University of Beirut, Lebanon; Rio Yokota and David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia
continued in next column
56 2015 SIAM Conference on Computational Science and Engineering
Saturday, March 14
MS77Software Process for a CASL Sustainable Simulation Software Solution4:35 PM-6:15 PMRoom:151 G
This minisymposium will focus on the software development process used to create Hydra-TH, a CFD code for the Consortium for Advanced Simulation of Light Water Reactors (CASL). We delve into the fine level details of cross- platform builds, effective testing, and collaborative development workflows needed to create a scalable, general purpose CFD code. This includes open source tools to help manage these complexities. Additionally, we include In Situ simulation visualization and analysis along with preprocessing tools ensuring that CFD analysts can effectively use Hydra-TH for performing their desired work. An entire workflow including software and model analysis development will be presented.
Organizer: Bill HoffmanKitware, Inc., USA
4:35-4:55 Software Quality with the Open Source Tools CMake, CDash, CTestBill Hoffman, Kitware, Inc., USA
5:00-5:20 Tribits: Tribal Build, Integrate, and Test SystemRoscoe Bartlett, Oak Ridge National
Laboratory, USA
5:25-5:45 Developing Hydra-TH: A Vertical, VERA-integrated Application based on the Hydra ToolkitMark Christon, Jozsef Bakosi, and Markus
Berndt, Los Alamos National Laboratory, USA; Andrew Bauer, Kitware, Inc., USA; Alan Stagg, Oak Ridge National Laboratory, USA; Balasubramanya Nadiga, Los Alamos National Laboratory, USA; Patrick O’Leary, Kitware, Inc., USA
5:50-6:10 Computational Model Builder and ParaView Catalyst: Empowering HPC WorkflowsAndrew Bauer, Patrick O’Leary, Robert
O’Bara, and Berk Geveci, Kitware, Inc., USA
Saturday, March 14
MS76Computational Models of Cardiac Growth and Remodeling4:35 PM-6:15 PMRoom:151 DE
Understanding the processes of cardiac growth and remodeling is of substantial clinical relevance, in particular for improved treatment of heart failure. Computational models for soft tissue growth have been established in the framework of continuum mechanics, and are valuable tools for studying growth mechanisms and testing physiological hypotheses. However, model development and analysis is challenging, in particular because of the complexity and extreme multiscale nature of the processes involved. In this minisymposium we address recent developments in computational models of growth and remodeling. Specific topics will include mathematical model development, numerical solution methods, and clinically relevant applications such as heart failure.
Organizer: Joakim SundnesSimula Research Laboratory, Norway
Organizer: Samuel WallSimula Research Laboratory, Norway
4:35-4:55 Modeling Growth and Remodeling in Heart Muscle TissueJoakim Sundnes, Simula Research
Laboratory, Norway
5:00-5:20 A Computational Model of Reverse Cardiac Growth in Response to Mechanical StimulusLik Chuan Lee, Michigan State University,
USA
5:25-5:45 Human Fetal Growth Model of Hypoplastic Left Heart SyndromeAdarsh Krishnamurthy, University of
California, San Diego, USA
5:50-6:10 Finite Element Models of Growth and Remodelling in the Infarct Injured Left VentricleSamuel Wall, Simula Research Laboratory,
Norway
Saturday, March 14
MS75Advances in Radial Basis Function and Other Meshfree Methods - Part III of V4:35 PM-6:15 PMRoom:151 AB
For Part 2 see MS50 For Part 4 see MS101 Meshfree methods have many inherent properties that make them useful for a variety of problems in science and engineering, from fitting data to numerically solving differential equations. Such methods offer geometric flexibility, non-uniform resolution, and advantageous trade-offs between accuracy and computational costs. This minisymposium focuses primarily on methods based on radial basis functions and other more general kernels. The talks will address recent advances in the application of these methods to large-scale problems in biology, geophysics, image processing, and finance, as well as theoretical advances in the methods themselves.
Organizer: Varun ShankarUniversity of Utah, USA
Organizer: Grady B. WrightBoise State University, USA
4:35-4:55 RBF-Based Partition of Unity Collocation Methods for the Numerical Solution of PDEsElisabeth Larsson, Uppsala University,
Sweden; Alfa Heryudono, University of Massachusetts, Dartmouth, USA
5:00-5:20 Multilevel Collocation with Radial Basis FunctionsPatricio Farrell, Weierstrass Institute
for Applied Analysis and Stochastics, Germany
5:25-5:45 Kernel-based Image Reconstruction from Scattered Radon DataArmin Iske, University of Hamburg,
Germany
5:50-6:10 Dealing with Multiple Boundary Conditions in the RBF Collocation MethodAlfa Heryudono, University of
Massachusetts, Dartmouth, USA
2015 SIAM Conference on Computational Science and Engineering 57
Saturday, March 14
Professional Development Evening Interdisciplinary Research:
Sustaining a Successful Program8:30 PM-9:30 PMRoom:355 D
Chair: Maria Emelianenko, George Mason University, USA
Chair: Cammey Cole Manning, Meredith College, USA
Chair: Sven Leyffer, Argonne National Laboratory, USA
Join us for an evening devoted to developing and sustaining a successful interdisciplinary research program. Several professionals from academia, government, and industry will share their perspective on challenges and rewards of an interdisciplinary research, training opportunities for students and early career researchers, how to identify open problems and find common language with colleagues in a different field and funding opportunities among other topics. The target audience for this event includes early career professionals (i.e., less than five years past last degree), postdocs, and students. However, we are also encouraging participation from the senior professional community during the networking session. This networking session will take place immediately prior to this panel.
Panelists:Andrea BertozziUniversity of California, Los
Angeles, USA
Fariba FahrooAir Force Office of Scientific
Research, USA
Omar GhattasUniversity of Texas at Austin, USA
Jeffrey HittingerLawrence Livermore National
Laboratory, USA
Wil SchildersTechnische Universiteit
Eindhoven, The Netherlands
Saturday, March 14Professional Development Evening: Networking Reception7:30 PM-8:30 PMRoom:355 D
Saturday, March 14
Professional Development Evening Getting Started with Interdisciplinary Research:
Challenges and Opportunities6:30 PM-7:30 PMRoom:355 D
Chair: Maria Emelianenko, George Mason University, USA
Chair: Cammey Cole Manning, Meredith College, USA
Chair: Sven Leyffer, Argonne National Laboratory, USA
Join us for an evening devoted to developing and sustaining a successful interdisciplinary research program. Several professionals from academia, government, and industry will share their perspective on challenges and rewards of an interdisciplinary research, training opportunities for students and early career researchers, how to identify open problems and find common language with colleagues in a different field and funding opportunities among other topics. The target audience for this event includes early career professionals (i.e., less than five years past last degree), postdocs, and students. However, we are also encouraging participation from the senior professional community during the networking session. This networking session will take place immediately following this panel.
Panelists: Richard BraunUniversity of Delaware, USA
Thomas GrandineThe Boeing Company, USA
C.T. KelleyNorth Carolina State University,
USA
Carol WoodwardLawrence Livermore National
Laboratory, USA
58 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
MT1Minitutorial: Python Visual Analytics for Big Data - Part I of II9:10 AM-10:50 AMRoom:355
For Part 2 see MT2 Chair: Jonathan Woodring, Los Alamos National Laboratory, USA
Python is a powerful development, computational, and programming environment due to the wide variety of libraries developed for it, and importantly, the enthusiastic, active development and user community. One of the areas where Python excels is visualization and analysis of big data, due to several high-quality modules for both simple and advanced visual analytics. This tutorial will cover the following big-data visualization capabilities in Python: interactive plotting with IPython, matplotlib, and databases, building web visualizations with Bokeh, and Python integration with VTK and ParaView. Additional information will be provided on mapreduce and NoSQL capabilities. This tutorial is intended for intermediate-level participants who have a basic understanding of the Python language and development environment (i.e., the student ought to have an understanding of native (and ideally numpy) data structures, file I/O, and is able to develop and run simple programs). Beginner participants are welcome, but Python fundamentals, such as language constructs, “hello world,” and program execution will not be covered in this tutorial.
Topic A: IPython + Matplotlib using SQliteJoseph Cottam, Indiana University, USA
Topic B: NumPy + SciPy + Pandas using Postgres & HDF5Jonathan Woodring, Los Alamos National
Laboratory, USA
Sunday, March 15
IP3Petascale Finite Element Simulation of Real World’s Complex Structure with Billions DOFs Model8:15 AM-9:00 AMRoom:355
Chair: Feng Xiao, Tokyo Institute of Technology, Japan
Leading supercomputers offer the computing power of petascale, and exascale systems are expected to be available by the end of this decade. Supercomputers with more than tens of thousands of computing nodes, each of which has many cores cause serious problems in practical finite element software. We have been developing an open source parallel finite element software known as ADVENTURE, which enables very precise analyses of practical structures and machines using over 100 million to billions DOFs mesh. The basic parallel solution algorithms employed are the hierarchical domain decomposition method with balancing domain decomposition as preconditioner. In this talk, I explain several key technologies and one practical application, i.e. seismic response of nuclear power plant subjected to a strong earthquake.
Shinobu YoshimuraUniversity of Tokyo, Japan
Intermission9:00 AM-9:10 AM
Sunday, March 15
Student Days: Student Chapter Meeting with SIAM Leadership (by invitation only)7:00 AM-8:00 AMRoom:255 D
Registration7:30 AM-5:00 PMRoom:East Foyer
Announcements8:10 AM-8:15 AMRoom:355
2015 SIAM Conference on Computational Science and Engineering 59
10:25-10:45 Fluid-Structure-Interaction in Computational Hemodynamcis using Nonlinear Hyperelastic Arterial Wall ModelsDaniel Balzani, University of Duisburg-
Essen, Germany; Simone Deparis, École Polytechnique Fédérale de Lausanne, Switzerland; Simon Fausten, University of Duisburg-Essen, Germany; Davide Forti, École Polytechnique Fédérale de Lausanne, Switzerland; Alexander Heinlein and Axel Klawonn, Universität zu Köln, Germany; Alfio Quarteroni, École Polytechnique Fédérale de Lausanne, Switzerland; Oliver Rheinbach, Technische Universitaet Bergakademie Freiberg, Germany; Jörg Schröder, University of Duisburg-Essen, Germany
Sunday, March 15
MS79Large Scale Solution Methods for Coupled and Nonlinear Problems9:10 AM-10:50 AMRoom:355 D
The devlopment of solution methods for coupled (e.g. fluid structure interaction) and nonlinear (e.g. nonlinear mechanics) problems is highly challenging. In particular in the context of large scale problems, this might require non-standard approaches for discretization and solution methods, as the simple combination of standard methods for the respective sub-problems or the application of, e.g., Newton’s-method, might lead to stability, efficiency, or scalability constraints. In this minisymposium, we therefor focus on solution methods, which are a priori designed for the solution of coupled and non-linear problems on parallel machines.
Organizer: Rolf KrauseUniversity of Lugano, Switzerland
Organizer: Johannes SteinerUniversity of Lugano, Switzerland
9:10-9:30 A Scalable Monolithic Solver for the Coupling of a Finite Element and a Finite Volume Method for Fluid-Structure-InteractionJohannes Steiner and Rolf Krause,
University of Lugano, Switzerland
9:35-9:55 Parallel Scalable FETI Methods for Nonlinear ProblemsAxel Klawonn and Martin Lanser,
Universität zu Köln, Germany; Oliver Rheinbach, Technische Universitaet Bergakademie Freiberg, Germany
10:00-10:20 Adaptive Spectral Deferred Correction Methods for Cardiac SimulationMartin Weiser, Zuse Institute Berlin,
Germany
Sunday, March 15
MS78Teaching Computational Thinking and Practice9:10 AM-10:50 AMRoom:355 A
As dependence on computational tools increases, so does the need for better computational training. We discuss our own efforts to provide such training. We address several larger questions including: What is the role of computational training in our various fields? How can we scale training to meet demand? What technologies, languages, principles, and practices should we teach? What is the right balance between conceptual learning and hands-on training and practice? More generally, how should we train the next generation of scientists, statisticians, and engineers in computational methods and practices?
Organizer: Kenneth J. MillmanUniversity of California, Berkeley, USA
Organizer: Philip B. StarkUniversity of California, Berkeley, USA
9:10-9:30 Teaching Statistical Computing to UndergraduatesKenneth J. Millman and Philip B. Stark,
University of California, Berkeley, USA
9:35-9:55 Opportunities and Experiences with Teaching Computational Science from the Very Start of University StudiesHans Petter Langtangen, Simula Research
Laboratory and University of Oslo, Norway
10:00-10:20 Teaching Data Science from a Computer Science Perspective: Experience from a First MoocBill Howe, University of Washington, USA
10:25-10:45 Teaching Computing to EngineersLorena A. Barba, George Washington
University, USA
continued in next column
60 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
MS82Resilience in Numerical Simulations and Algorithms at Extreme Scale: Part I of IV - General Topics9:10 AM-10:50 AMRoom:250 C
For Part 2 see MS107 The advent of extreme scale machines will require the use of parallel resources at an unprecedented scale, probably leading to a high rate of hardware faults. Handling fully these faults at the computer system level may have a prohibitive cost. High performance computing applications that aim at exploiting all these resources will thus need to be resilient, in this minisympoisum different complementary approaches and methods will be presented to possibly address this key aspect of extreme scale computing.
Organizer: Keita TeranishiSandia National Laboratories, USA
Organizer: Luc GiraudINRIA, France
Organizer: Michael HerouxSandia National Laboratories, USA
Organizer: Emmanuel AgulloINRIA, France
9:10-9:30 Resilient Programming ModelsMichael Heroux, Sandia National
Laboratories, USA
9:35-9:55 Title Not Available at Time of PublicationGeorge Bosilca, University of Tennessee,
Knoxville, USA
10:00-10:20 Portable Programming and Runtime Support for Application-Controlled Resilience in Large-Scale Scientific ApplicationsAndrew A. Chien, University of Chicago
and Argonne National Laboratory, USA; Hajime Fujita, Zachary Rubenstein, Nan Dun, Aiman Fang, and Ziming Zheng, University of Chicago, USA
10:25-10:45 MPI Fault Tolerance: The Good, The Bad, The UglyMartin Schulz, Lawrence Livermore National
Laboratory, USA
Sunday, March 15
MS81High-dimensional Approximation and Integration: Analysis and Computation - Part I of V9:10 AM-10:50 AMRoom:250 B
For Part 2 see MS106 This minisymposium focuses on the fundamental problem of how to accurately approximate solutions of both forward and inverse high-dimensional functions. Predicting the behavior of complex phenomena relies on constructing solutions in terms of high dimensional spaces, particularly in the case when the input data (coefficients, forcing terms, initial and boundary conditions, geometry) are affected by large amounts of uncertainty. The resulting explosion in computational effort is a symptom of the curse of dimensionality and this symposium aims at exploring breakthroughs in sparse sampling and representations, nonlinear and greedy approximations, compressed sensing, multilevel methods, and “best-N-term” approximations.
Organizer: Clayton G. WebsterOak Ridge National Laboratory, USA
Organizer: Guannan ZhangOak Ridge National Laboratory, USA
Organizer: Max GunzburgerFlorida State University, USA
Organizer: Albert CohenUniversité Pierre et Marie Curie, France
9:10-9:30 A Theory for Model VerificationRonald DeVore, Texas A&M University,
USA
9:35-9:55 High-Order Digital Nets for Parametric and Stochastic Operator EquationsChristoph Schwab, ETH Zürich, Switzerland
10:00-10:20 Low-Rank Adaptive Tensor ApproximationWolfgang Dahmen, RWTH Aachen,
Germany
10:25-10:45 Multivariate Decomposition Methods $\infty$-Variate ProblemsGrzegorz W. Wasilkowski, University of
Kentucky, USA
Sunday, March 15
MS80Computational Engineering (BGCE) Student Paper Prize - Part I of II9:10 AM-10:50 AMRoom:250 A
For Part 2 see MS105 The 5th Bavarian Graduate School in Computational Engineering (BGCE) Student Paper Prize will be awarded at the 2015 SIAM CS&E Conference for outstanding student work in the field of Computational Science and Engineering. Eligible for the prize will be undergraduate and graduate students prior to receiving their PhD. Candidates are required to summarize their work in a short paper of at most 4 pages. The prize finalists will present their work in this minisymposium. The prize award announcement will be scheduled at one of the last days of the conference.
Organizer: Tobias NeckelTechnische Universität München, Germany
Organizer: Hans-Joachim BungartzTechnische Universität München, Germany
Organizer: Ulrich J. RuedeUniversity of Erlangen-Nuremberg, Germany
Speakers To Be Announced
2015 SIAM Conference on Computational Science and Engineering 61
Sunday, March 15
MS85Advanced Finite Element Methods for Nonlinear Materials and Fluids - Part I of III9:10 AM-10:50 AMRoom:250 F
For Part 2 see MS110 Numerical modeling of materials and fluids with nonlinear behavior plays an increasing role in computational science and engineering, particularly in the high-fidelity simulation of elastic and plastic deformations, magneto-sensitive materials, liquid crystals, biological tissues and blood flow, among others. Despite a long history of efforts, there is still a need for the development of advanced finite-element methods with specific properties such as accurate representation of stresses, forces, and other quantities depending on the application. In many of these applications, mesh-adaptive implementations and efficient solvers are an important issue due to the size and complexity of the problems.
Organizer: James H. AdlerTufts University, USA
Organizer: Gerhard StarkeUniversity of Duisburg-Essen, Germany
Organizer: Thomas ManteuffelUniversity of Colorado Boulder, USA
9:10-9:30 First-Order System Least Squares for Isotropic and Anisotropic Materials in HyperelasticityBenjamin Müller, Gerhard Starke, and Jörg
Schröder, University of Duisburg-Essen, Germany
9:35-9:55 Momentum Balance Accuracy in Finite Element Methods for ElastoplasticityGerhard Starke, University of Duisburg-
Essen, Germany
10:00-10:20 Modeling Magneto-Mechanical Interactions in Deformable SolidsJames H. Adler, Luis Dorfmann, Dong Han,
Scott Maclachlan, and Chris Paetsch, Tufts University, USA
10:25-10:45 Advanced Finite Element Methods for Chemo-Electromechanical Skeletal Muscle MechanicsOliver Rohrle, Thomas Heidlauf, Mylena
Mordhorst, and Daniel Wirtz, University of Stuttgart, Germany
Sunday, March 15
MS84Error Analysis and Scalability of UQ Methodologies for Inverse Problems - Part I of II9:10 AM-10:50 AMRoom:250 E
For Part 2 see MS109 The application of novel uncertainty quantification (UQ) methodologies to solve stochastic inverse problems for a physical system has improved the predictive capabilities of many computationally complex models. However, a full error analysis and study of scalability for the combined UQ method and computational model is often lacking. This session addresses the issues of error analysis and scalability of several UQ methods applied to stochastic inverse problems associated with specific complex physical systems. Both a priori and a posteriori error analyses of deterministic and stochastic sources of error are considered along with computational challenges in scaling such analyses.
Organizer: Troy ButlerUniversity of Colorado, Denver, USA
Organizer: Steven MattisUniversity of Texas at Austin, USA
9:10-9:30 Quantifying Errors in a Probabilistic Solution to Stochastic Inverse Problems for Physics-Based ModelsTroy Butler, University of Colorado, Denver,
USA
9:35-9:55 Adaptive Measure-Theoretic Inverse Techniques for High Dimensional Parameter Domains and Complex Multi-Scale ModelsLindley C. Graham, University of Texas at
Austin, USA; Troy Butler, University of Colorado, Denver, USA; Clint Dawson, University of Texas at Austin, USA
10:00-10:20 Optimizing Quantities of Interest in High Dimensions to Improve Solutions to Inverse ProblemsScott Walsh, University of Colorado, Denver,
USA
10:25-10:45 Region of Influence Sensitivty Analysis for Time Dependant ProblemsVaris Carey and Robert D. Moser,
University of Texas at Austin, USA
Sunday, March 15
MS83Preconditioning and Iterative Methods for Linear Systems - Part I of II9:10 AM-10:50 AMRoom:250 D
For Part 2 see MS108 The solution of large, sparse linear systems remains the limiting component of many problems. Iterative solvers are often the methods of choice for such systems, and effective preconditioning is usually necessary to achieve an acceptable speed of convergence. In this minisymposium we focus on recent developments in preconditioning, the convergence of solvers and the application of iterative methods.
Organizer: Jennifer PestanaUniversity of Manchester, United Kingdom
Organizer: Andy WathenUniversity of Oxford, United Kingdom
9:10-9:30 Convergence of Stationary Iteration with Indefinite PreconditionerAndy Wathen, University of Oxford, United
Kingdom
9:35-9:55 Preconditioning for Various Cahn-Hilliard SystemsJessica Bosch and Martin Stoll, Max Planck
Institute, Magdeburg, Germany
10:00-10:20 Null-Space Based Preconditioners for Saddle-Point SystemsRon Estrin and Chen Greif, University of
British Columbia, Canada
10:25-10:45 Unreduced Symmetric KKT Systems Arising from Interior Point MethodsMattia Tani and Valeria Simoncini,
Universita’ di Bologna, Italy; Benedetta Morini, Universita’ di Firenze, Italy
62 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
MS87Theory Implementation and Applications of HDG Methods - Part II of II9:10 AM-10:50 AMRoom:251 B
For Part 1 see MS62 In this minisymposium, we will discuss the latest advancements related to the hybrid discontinuous Galerkin (HDG) method. HDG applies a static condensation technique within the DG framework, so that the only globally coupled degrees of freedom are those located on the mesh skeleton or trace space, greatly reducing the global system size. The method is also promising for its applicability to current and emerging parallel architectures. The HDG method has proven to be a popular method and has, in recent years, been applied in the context of steady-state diffusion, Maxwell’s equations, convection-diffusion problems, elastodynamics, Stokes and incompressible Navier-Stokes equations.
Organizer: Hari SundarUniversity of Utah, USA
Organizer: Tan Bui-ThanhUniversity of Texas at Austin, USA
Organizer: Cuong NguyenMassachusetts Institute of Technology, USA
9:10-9:30 Multiscale Hybridizable Discontinuous Galerkin MethodsCuong Nguyen, Joel Saa-Seoane, David
Moro, Francisco J. Roca, and Jaime Peraire, Massachusetts Institute of Technology, USA
9:35-9:55 To CG or HDG: Updates on Our Comparative StudyMike Kirby and Sergey B. Yakovlev,
University of Utah, USA
10:00-10:20 Stable and Robust Hybridized Discontinuous Galerkin Methods for High Reynolds Number Flow ProblemsKrzysztof Fidkowski and Johann Dahm,
University of Michigan, USA
10:25-10:45 A Computational Framework for Target-Based HP-Adaptation in Compressible Flow Simulation Using HDG MethodsGeorg May and Michael Woopen, RWTH
Aachen University, Germany
10:00-10:20 Efficient Approaches for Optimal Active Flow ControlNicolas R. Gauger, Technische Universität
Kaiserslautern, Germany; Anil Nemili, Emre Özkaya, and Stefanie Günther, Technical University Kaiserslautern, Germany
10:25-10:45 Aerodynamic Design for Unsteady Flows Using An Adjoint ApproachEric Nielsen, NASA Langley Research
Center, USA; Boris Diskin, National Institute of Aerospace, USA
Sunday, March 15
MS86Adjoint Methods for Unsteady and Chaotic PDEs and Large-scale Optimization and Control - Part I of II9:10 AM-10:50 AMRoom:251 A
For Part 2 see MS111 We expose a growing intersection of optimization and control using large-scale, unsteady PDE-based simulations. This intersection has traditionally been small because most practitioners perform optimization and control using inexpensive, reduced order models; however, this is changing. Current-day simulations solving unsteady and chaotic PDEs, such as the Navier-Stokes equations, are leveraging advance in high performance computing. Petascale, and soon exascale, supercomputers are increasingly available to researchers, enabling them to attempt optimization and control directly using large-scale simulations. The resulting area of large-scale optimization and control, particularly with the aid of the unsteady adjoint method, is the theme of this proposed minisymposium.
Organizer: Qiqi WangMassachusetts Institute of Technology, USA
Organizer: Nicolas R. GaugerTechnische Universität Kaiserslautern, Germany
Organizer: Daniel J. BodonyUniversity of Illinois at Urbana-Champaign, USA
9:10-9:30 Optimal Wall-Forcing for Compressible Wall-Bounded Flows Using Adjoint TechniquesTaraneh Sayadi and Peter Schmid, Imperial
College London, United Kingdom
9:35-9:55 A Coupled CFD – CAA Adjoint Method for Aeroacoustic Optimization and Error EstimationEnrico Fabiano, Dimitri Mavriplis, and Jay
Sitaraman, University of Wyoming, USA
continued in next column
2015 SIAM Conference on Computational Science and Engineering 63
9:10-9:30 Recovering Exponential Accuracy in Spectral Methods Involving Piecewise Smooth Functions with Unbounded Derivative SingularitiesZheng Chen, Iowa State University, USA
9:35-9:55 Efficient High-Order Algorithms for Solving Drift-Diffusion SystemsYing He, University of California, Davis,
USA
10:00-10:20 Estimating Residual Stresses in Arteries by an Inverse Spectral TechniqueSunnie Joshi, Temple University, USA
10:25-10:45 Force-based Blended Atomistic-to-continuum Coupling Method for Crystals: Theory and ComputationsXingjie Li, Brown University, USA
Sunday, March 15
MS89AWM Meeting - Workshop: Research Talks by Recent Ph.D.s:Mathematical Modeling and High-Performance Computing for Multiscale and Multiphysics Problems - Part I of II9:10 AM-10:50 AMRoom:251 D
For Part 2 see MS114 Sponsored by Association for Women in Mathematics (AWM)
This minisymposium highlights selected research talks by female recent Ph.D.s in developing multiscale multiphysics models, computational methodologies, and high-performance computing. Advances in science and engineering—-in disciplines ranging from health to energy and the environment to defense—-rely on predictive measurement and analysis of multiscale multiphysics systems. Such advances are essential for scientific discovery, engineering design and policy making. The participants of the minisymposium will discuss advanced computational algorithms and simulation strategies for solving modern and next-generation systems that require analyzing complex physical phenomena such as fluid-solid interactions, mechanics of biological materials, moleculer motions, charge transport, ocean and cloud dynamics, and oil recovery process. The topics include physical modeling, mathematical analysis, numerical analysis, algorithms, implementation, performance, and scalability. This minisymposium is part of the Association for Women in Mathematics(AWM) workshop that will promote cross-fertilization of ideas among women scientists in multiple disciplines.
Organizer: MiSun MinArgonne National Laboratory, USA
Organizer: Fengyan LiRensselaer Polytechnic Institute, USA
Organizer: Jingmei QiuUniversity of Houston, USA
Sunday, March 15
MS88Computational Advances in Energy Research
9:10 AM-10:50 AMRoom:251 C
Part of the SIAM Workshop Celebrating Diversity
Computational modeling for geoscience applications has never been more relevant or fundamental for a range of problems in energy extraction and recovery. This session highlights advances in modeling for recent and more traditional energy applications. Unconventional resource modeling work discussed in this session includes microseismic event location in the context of hydraulic fracturing and modeling of methane hydrates. New advances in traditional seismic wave modeling include more efficient schemes for implementation of absorbing boundary conditions and comparison of finite difference solutions of the wave equation to solutions from discontinuous Galerkin finite element methods.
Organizer: Susan E. MinkoffUniversity of Texas at Dallas, USA
Organizer: Raegan HigginsTexas Tech University, USA
Organizer: Stephen WirkusArizona State University, USA
9:10-9:30 Microseismic Event Location Via Full Waveform InversionSusan E. Minkoff, University of Texas at
Dallas, USA
9:35-9:55 Comparison Between DG and Finite Difference Methods for Acoustics with Smooth CoefficientsMario Bencomo, Rice University, USA
10:00-10:20 Partitioned Low Rank fast and Efficient Compression of Absorbing Boundary Conditions for the Helmholtz EquationRosalie Belanger-Rioux and Laurent
Demanet, Massachusetts Institute of Technology, USA
10:25-10:45 Analysis and Numerical Approximation for Adsorption ModelsFrancis P. Medina and Malgorzata
Peszynska, Oregon State University, USA
continued in next column
64 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
MS92Applied Mathematics and Computation in the Pharmaceutical Industry - Part I of II9:10 AM-10:50 AMRoom:254 A
For Part 2 see MS117 The pharmaceutical industry continues to rapidly develop analytical capabilities tackling scientific, engineering, manufacturing and market challenges. We highlight current mathematical and computational frontiers and areas of interest to the industry in this minisymposium. Specific areas include modeling and simulation, optimization, image processing and data mining/modeling. Modeling and simulation is used in both scientific and business applications within the industry. We highlight disease and treatment models as well as models underlying objective functions in optimization. Data mining/modeling is now driven by large amounts of biomarker data varying from next generation sequencing to ultra-high resolution imaging.
Organizer: Jeffrey SaltzmanAstraZeneca, USA
9:10-9:30 Numerical Solutions of a Partial Differential Equations in a Pharmacometric ContextJeffrey Saltzman, AstraZeneca, USA
9:35-9:55 Applications of Modeling and Simulation in Drug Discovery and DevelopmentChandni Valiathan, Merck & Co., Inc., USA
10:00-10:20 Mathematical Modeling at Two Opposite Ends of the Scale Spectrum with the Same Objective in Mind: Improve Human HealthAntonio Cabal, Merck Research
Laboratories, USA
10:25-10:45 A Simultaneous Approach to Parameter Estimation with Ode Models: a Case Study with Viral Dynamics ModelsKhamir Mehta and Junghoon Lee, Merck &
Co., Inc., USA
Sunday, March 15
MS91Parametric Model Reduction and Inverse Problems - Part I of IV9:10 AM-10:50 AMRoom:251 F
For Part 2 see MS116 In recent years model reduction techniques have been used to efficiently solve forward problems given, for instance, as PDEs, dynamical systems or complex networks. In this minisymposium we want explore applications of model reduction in the context of inverse problems.
Organizer: Eldad HaberUniversity of British Columbia, Canada
Organizer: Lars RuthottoEmory University, USA
Organizer: Eric De SturlerVirginia Tech, USA
Organizer: Misha E. KilmerTufts University, USA
Organizer: Christopher A. BeattieVirginia Tech, USA
Organizer: Serkan GugercinVirginia Tech, USA
9:10-9:30 Multiscale Model Reduction for PDE-Constrained OptimizationEldad Haber, University of British
Columbia, Canada; Lars Ruthotto, Emory University, USA
9:35-9:55 Model Mis-Specification and Model Reduction - Connecting the DotsLior Horesh, IBM T.J. Watson Research
Center, USA
10:00-10:20 Model Reduction for Some Inverse Problems in FinanceEkkehard W. Sachs, University of Trier,
Germany and Virginia Tech, USA; Marina Schneider, University of Trier, Germany
10:25-10:45 Inference for Prediction in Nonlinear SystemsHarriet Li, Massachusetts Institute of
Technology, USA
Sunday, March 15
MS90Software and Methods for Spatial Modeling and Simulation in Systems Biology - Part I of II9:10 AM-10:50 AMRoom:251 E
For Part 2 see MS115 Simulation of spatially inhomogeneous biological systems is a challenging problem that has motivated the development of various software packages. Simulation challenges include the multiphysics/multiscale nature of the systems and the need to capture stochastic effects. Modeling challenges include specification of the reaction systems, geometry and mesh generation for complex and dynamic shapes. Software issues include testing and verification, user community issues, and dissemination and promotion. Also, there are the issues of model sharing, validation and reproducibility of results. This minisymposium brings together representatives of different software packages from the computational systems biology community to discuss these challenges.
Organizer: Andreas HellanderUppsala University, Sweden
Organizer: Brian DrawertUniversity of California, Santa Barbara, USA
9:10-9:30 On-Lattice and off-Lattice Hybrid Simulation Using the Smoldyn SoftwareSteven Andrews, Fred Hutchinson Cancer
Research Center, USA
9:35-9:55 From Macroscopic to Microscopic Simulations Using MesordDavid Fange, Uppsala University, Sweden
10:00-10:20 MCell/CellBlender: An Environment for Spatially Realistic Simulation of Cellular MicrophysiologyThomas M. Bartol, The Salk Institute, USA
10:25-10:45 E-Cell System Version 4.0: an Integrated Platform for Single-particle-level SimulationsKazunari Kaizu, Kozo Nishida, Masaki
Watabe, Arjunan Satya, Kazunari Iwamoto, and Koichi Takahashi, RIKEN, Japan
2015 SIAM Conference on Computational Science and Engineering 65
Sunday, March 15
MS95Computational Methods for Kinetic Equations and Related Models - Part IV of V9:10 AM-10:50 AMRoom:150 AB
For Part 3 see MS70 For Part 5 see MS120 Kinetic descriptions play an important role in a variety of physical, biological, and even social applications. Unfortunately, the large phase space associated with the kinetic description has in the past made simulations impractical in most settings. However, recent advances in computer resources and numerical algorithms are making kinetic models more tractable, and this trend is expected to continue in the future. The purpose of this minisymposium is to report on the continuing progress on numerical analysis and computational science for kinetic equations. It brings together researchers from applied mathematics, computational science, physics, and engineering communities to discuss their work and exchange ideas.
Organizer: Martin FrankRWTH - Aachen University of Technology, Germany
Organizer: Cory HauckOak Ridge National Laboratory, USA
Organizer: Ryan G. McClarrenTexas A&M University, USA
Organizer: Jingmei QiuUniversity of Houston, USA
Organizer: Jeffrey A. WillertLos Alamos National Laboratory, USA
9:10-9:30 Asymptotic-Preserving Scheme for the Fokker-Planck-Maxwell System in the Quasi-Neutral RegimeStephane Brull, Institut Polytechnique de
Bordeaux, France
Sunday, March 15
MS94Student Days: SIAM Student Chapter Presentations - Part I of II9:10 AM-10:50 AMRoom:254 C
For Part 2 see MS119 SIAM Student Chapter presentations.
Organizer: Rachel LevyHarvey Mudd College, USA
9:10-9:21 System Architecture for a Cooperative Fleet of Autonomous Underwater Vehicles (AUVs)Stacey Joseph-Ellison, Qi Zhou, Zhaoyang
Fu, Zakaria Daud, and Hong Liu, Embry-Riddle Aeronautical University, USA
9:26-9:37 Affirmative Actions in Education Creating Division and Inefficiency Among Beneficiary Groups in IndiaAprant Ajay, Delhi Technological University,
India
9:42-9:53 Interfacial Motion by Mean Curvature in Liquid CrystalsAmy Spicer and Apala Majumdar, University
of Bath, United Kingdom
9:58-10:09 Theory and Computation for Bilinear QuadraturesChristopher Wong, University of California,
Berkeley, USA
10:14-10:25 Survival Probability of Beneficial Mutations in BacteriaAnna Zhu and Lindi M. Wahl, Western
University, Canada
10:30-10:41 On Strategic Defense in Stochastic NetworksRyan White and J. H. Dshalalow, Florida
Institute of Technology, USA
Sunday, March 15
MS93Computational Applications Performing at Petascale Level and Beyond - Part I of II9:10 AM-10:50 AMRoom:254 B
For Part 2 see MS118 Large-scale simulations are required to validate and then exercise complex multiscale models such as weather forecasting, computational astronomy, or industrial burners. This minisymposium highlights the impact of petascale computing on scientific discoveries by presenting the recent work of several research teams that develop and employ applications to tackle such challenging problems using full capabilities of modern leadership-class supercomputers. Discussions emphasize both the scientific impact of the related work and the challenges associated with computing at such scale.
Organizer: Bilel HadriKing Abdullah University of Science & Technology (KAUST), Saudi Arabia
Organizer: Hatem LtaiefKing Abdullah University of Science & Technology (KAUST), Saudi Arabia
9:10-9:30 Exascale: the Why and the HowDavid E. Keyes, King Abdullah University of
Science & Technology (KAUST), Saudi Arabia
9:35-9:55 From Optimal Algorithms to Fast Petascale SolversBjörn Gmeiner, University of Erlangen-
Nuremberg, Germany; Holger Stengel, Erlangen Regional Computing Center, Germany; Christian Waluga, Technical University of Munich, Germany; Barbara Wohlmuth, Technische Universität München, Germany; Ulrich J. Ruede, University of Erlangen-Nuremberg, Germany
10:00-10:20 GPU for Adaptive Optics on Ground Based Astronomical Telescopes: Simulations and Real-Time ControlDamien Gratadour and Eric Gendron,
Observatoire de Paris, Meudon, France; Hatem Ltaief and Hatem Ltaief, King Abdullah University of Science & Technology (KAUST), Saudi Arabia
10:25-10:45 Extreme Scale Solution of Engineering Applications Using UintahMartin Berzins, University of Utah, USA
continued on next page
66 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
MS97Frameworks, Algorithms, and Scalable Technologies for Parallel Unstructured Mesh Workflows - Part I of II9:10 AM-10:50 AMRoom:258
For Part 2 see MS121 This minisymposium presents recent advances in the development of parallel unstructured mesh methods and highlights their use in applications. These technologies are designed and implemented to support reliable simulation technologies that run on today’s leadership-class parallel systems with specific attention to next generation and emerging architectures that will bridge the peta-to-exascale gap. Unstructured meshing technologies presented in these sessions will emphasize memory-efficiency through array based data structures and adaptivity, increased fidelity through high-order methods, and parallelism in mesh generation, adaptation, and in-memory workflows. Many of the minisymposium presentations are associated with the DOE SciDAC FASTMath institute (http://www.fastmath-scidac.org/).
Organizer: Cameron SmithRensselaer Polytechnic Institute, USA
Organizer: Mark S. ShephardRensselaer Polytechnic Institute, USA
9:10-9:30 An Array-Based Mesh Topological Representation That Effectively Supports General Mesh ModificationDan A. Ibanez and Mark S. Shephard,
Rensselaer Polytechnic Institute, USA
9:35-9:55 Efficient Unstructured Mesh Traversal Methods Based on Array-Based Half FacetsNavamita Ray, Argonne National Laboratory,
USA; Xinglin Zhao, Stony Brook University, USA; Vijay Mahadevan, Argonne National Laboratory, USA; Xiangmin Jiao, State University of New York, Stony Brook, USA
Sunday, March 15
MS96Computational Approaches and Multi-scale Modeling of Complex Fluids - Part I of II9:10 AM-10:50 AMRoom:150 DE
For Part 2 see MS122 Complex fluids, which are suspensions of particles in a viscous liquid, can exhibit both viscous and elastic response to external forcing. Capturing the exact interplays between the particles and the surrounding fluid in a continuum modeling presents significant challenges as hydrodynamics interactions happen on short and long scales. Added difficulties arise when such suspensions interact with boundaries, where peculiar behavior has been experimentally observed, or when the surrounding fluid itself is viscoelastic, as it is the case of most biological liquid. This minisymposium’s goal is to explore recent advances, especially on the computational front, on both topics.
Organizer: Christel HoheneggerUniversity of Utah, USA
Organizer: Enkeleida LushiBrown University, USA
9:10-9:30 Stabilizing the Collective Motion of Micro-swimmers using ConfinementEnkeleida Lushi, Brown University, USA
9:35-9:55 Flagellar Activity Influences Self-Organization in Confined Microswimmer SuspensionsAlan Cheng Hou Tsang and Eva Kanso,
University of Southern California, USA
10:00-10:20 Swimming Dynamics of Microorganisms in Viscoelastic Fluids Near a WallGaojin Li and Arezoo Ardekani, Purdue
University, USA
10:25-10:45 Dynamics of Micro-Swimmers Inside a Peristaltic PumpAdam Stinchcombe, University of Michigan,
USA; Enkeleida Lushi, Brown University, USA
Sunday, March 15
MS95Computational Methods for Kinetic Equations and Related Models - Part IV of V9:10 AM-10:50 AMcontinued
9:35-9:55 Solving Kinetic Equations to Model the Core-Collapse Supernova Explosion MechanismEirik Endeve and Cory Hauck, Oak Ridge
National Laboratory, USA; Yulong Xing, University of Tennessee and Oak Ridge National Laboratory, USA; Tony Mezzacappa, Oak Ridge National Laboratory, USA
10:00-10:20 Versions of Discontinuous Galerkin Algorithms for Diffusion and for Energy-Conserving Hamiltonian DynamicsAmmar Hakim, Princeton Plasma Physics
Laboratory, USA; Greg Hammett, Eric Shi, Ian Abel, and Tim Stoltzfus-Dueck, Princeton University, USA
10:25-10:45 Numerical Simulation of the Crookes RadiometerGuillaume Dechristé, Institut de
Mathématiques de Bordeaux, France; Luc Mieussens, Universite de Bordeaux I, France
continued on next page
2015 SIAM Conference on Computational Science and Engineering 67
Sunday, March 15
MS99Modeling Microswimmer Locomotion using the Method of Regularized Stokeslets9:10 AM-10:50 AMRoom:260 A
Microscopic swimmers live in highly viscous environments where inertial effects are negligible. The way that these organisms have adapted to such unique conditions is of interest to biologists and engineers alike. For instance, a better understanding of microswimmer locomotion may enable the development of novel biomedical technologies, such as mobile biosensors or drug delivery devices. This minisymposium presents numerical studies of microswimmer motility performed using the method of regularized Stokeslets, a method designed for simulating low Reynolds number fluid- structure interactions. Easy to implement, efficient, and highly adaptable, the method of regularized Stokeslets is a powerful tool with broad applicability.
Organizer: Jonathan H. TuUniversity of California, Berkeley, USA
9:10-9:30 The Method of Regularized Stokeslets: Motivation and ApplicationsRicardo Cortez, Tulane University, USA
9:35-9:55 The Effects of Rotation and Translation on Flagellar SynchronizationJonathan H. Tu, Murat Arcak, and Michel M.
Maharbiz, University of California, Berkeley, USA
10:00-10:20 Modeling Sperm Motility Using a Kirchhoff Rod ModelSarah D. Olson, Worcester Polytechnic
Institute, USA
10:25-10:45 Bacteria Association with Ciliated SurfacesEva Kanso, University of Southern California,
USA
Sunday, March 15
MS98High-Order Methods for Computational Fluid Dynamics - Part I of IV9:10 AM-10:50 AMRoom:259
For Part 2 see MS123 Novel contributions in the field of high-order numerical methods for computational fluid dynamics. Presentations will explore new high-order methods, benchmarking of existing schemes, and applications to turbulent flow problems.
Organizer: Brian C. VermeireImperial College London, United Kingdom
Organizer: Antony JamesonStanford University, USA
Organizer: Peter E. VincentImperial College London, United Kingdom
9:10-9:30 Theoretical Aspects of High-Order Flux Reconstruction SchemesPeter E. Vincent, Imperial College London,
United Kingdom
9:35-9:55 Comparison of Continuous, Discontinuous and Hybrid Finite Element Methods for Accuracy and EfficiencySteven R. Allmaras, Marshall Galbraith, and
David l. Darmofal, Massachusetts Institute of Technology, USA
10:00-10:20 Adaptive Multiresolution Schemes for Discontinuous MethodsSiva Nadarajah and Philip Zwanenburg,
McGill University, Canada
10:25-10:45 Goal-Oriented Curved Mesh Optimization for High-Order Finite-Element MethodsKrzysztof Fidkowski and Devina Sanjaya,
University of Michigan, USA
10:00-10:20 Threading Mesh Optimization Codes Using Transactional MemoryBarna Bihari and Lori A. Diachin, Lawrence
Livermore National Laboratory, USA; Patrick M. Knupp, Sandia National Laboratories, USA
10:25-10:45 M3D-C1 Adaptive Loop Going from 2D Axisymmetric to Full 3DE. Seegyoung Seol, Mark S. Shephard,
and Fan Zhang, Rensselaer Polytechnic Institute, USA
68 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
MS102Parallel, Adaptive Methods for Logically Cartesian Meshes - Part I of II9:10 AM-10:50 AMRoom:151 DE
For Part 2 see MS127 Adaptive refined Cartesian mesh methods, which started with the seminal paper by Berger-Oliger in 1984 have now been in development for just over 30 years. However, there are still many questions about the scalability of these methods. The meta-data needed to store sub-grid locations can become prohibitive, and dynamic refinement an present a challenging parallel problem. However recent developments in quad tree adaptation and other approaches for Berger-Oliger refinement may overcome some of these problems. In this minisymposium, speakers have been asked to address the scalability of their adaptive frameworks, and share experiences using available packages, including Chombo, Paramesh, p4est, AMRClaw, Overture, GeoClaw and ForestClaw.
Organizer: Donna CalhounBoise State University, USA
Organizer: Carsten BursteddeUniversität Bonn, Germany
9:10-9:30 Parallel, Adaptive, Multi Block Methods for Cartesian Grids using ForestClawDonna Calhoun, Boise State University,
USA; Carsten Burstedde, Universität Bonn, Germany
9:35-9:55 Progress in Parallel Adaptive Methods for Storm Surge ForecastingKyle T. Mandli, Columbia University, USA
10:00-10:20 Using Explicit Filtering and Reconstruction to Improve Large-Eddy Simulation of the Atmosphere on Adaptive GridsLauren Goodfriend and Fotini Katopodes
Chow, University of California, Berkeley, USA; Marcos Vanella and Elias Balaras, George Washington University, USA
10:25-10:45 Local Time Stepping for Parallel Adaptive Mesh Refinement SimulationJeremy E. Kozdon and Lucas Wilcox, Naval
Postgraduate School, USA
Sunday, March 15
MS101Advances in Radial Basis Function and Other Meshfree Methods - Part IV of V9:10 AM-10:50 AMRoom:151 AB
For Part 3 see MS75 For Part 5 see MS126 Meshfree methods have many inherent properties that make them useful for a variety of problems in science and engineering, from fitting data to numerically solving differential equations. Such methods offer geometric flexibility, non-uniform resolution, and advantageous trade-offs between accuracy and computational costs. This minisymposium focuses primarily on methods based on radial basis functions and other more general kernels. The talks will address recent advances in the application of these methods to large-scale problems in biology, geophysics, image processing, and finance, as well as theoretical advances in the methods themselves.
Organizer: Varun ShankarUniversity of Utah, USA
Organizer: Grady B. WrightBoise State University, USA
9:10-9:30 Oversampling Near the Boundary and Improved Exponential Convergence RatesBarbara Zwicknagl, University of Bonn,
Germany
9:35-9:55 Beyond Quasi-unifomity: Kernel Approximation with a Local Mesh RatioThomas C. Hangelbroek, University of
Hawaii, Manoa, USA
10:00-10:20 Fast Computation of Orthonormal Bases for RBF Native SpacesStefano De Marchi and Gabriele Santin,
University of Padova, Italy
10:25-10:45 Meshless Vector Field Approximation with Radial Basis FunctionsEdward Fuselier, High Point University,
USA; Grady B. Wright, Boise State University, USA
Sunday, March 15
MS100Analysis of Noisy Networks in Theory and Practice - Part I of II9:10 AM-10:50 AMRoom:260 B
For Part 2 see MS125 Network analysis is an elegant, graph-based method for studying complex systems of interacting entities. However, real-world observed systems inherently include some discrepancy from reality. For example, measurements may not be exact, as not all relations are observed. Since traditional graph theory deals with exact mathematics, one of the most challenging aspects of network analysis is accounting for this noise. This minisymposium will include talks from application experts on how they handle noise, and presentations about the effect of noise in networks generally. We conclude with a discussion on how the general theory and application-specific methods can benefit from each other.
Organizer: Sanjukta BhowmickUniversity of Nebraska, Omaha, USA
Organizer: Benjamin A. MillerMassachusetts Institute of Technology, USA
9:10-9:30 Spectral Subgraph Detection in Noisy, Uncertain NetworksBenjamin A. Miller, Massachusetts Institute of
Technology, USA
9:35-9:55 Epidemic in Time and Space: Modeling Spatial Outbreak DynamicsArmin Mikler, University of North Texas, USA
10:00-10:20 Analysis and Control of Cascading Failures of Power Transmission Systems: a Macro ViewDaniel Bienstock and Guy Grebla, Columbia
University, USA
10:25-10:45 Visual Analytics for Detection and Tracking of Emergent Subgraphs in Social NetworksNadya Bliss and Ross Maciejewski, Arizona
State University, USA
2015 SIAM Conference on Computational Science and Engineering 69
Sunday, March 15
PD2 PanelAsk The Program Manager: Funding12:15 PM-1:30 PMRoom:355 D
Chair: Hank Childs, Lawrence Berkeley National Laboratory and University of Oregon, USA
Chair: Vincent Heuveline, Heidelberg University, Germany
Program managers from government agencies receive many requests for research funding. What are they really seeking? What makes a research proposal stand out? How can you build a research program that is attractive to these agencies? How can you conduct your research to make the biggest impact and increase your chances of future funding? What opportunities are presently available? We address all these questions and more as a part of this panel discussion.
Panelists To Be Announced
Sunday, March 15
IP4Extreme-scale Multigrid in Space and Time11:20 AM-12:05 PMRoom:355
Chair: Irad Yavneh, Technion Israel Institute of Technology, Israel
Multigrid methods are important techniques for efficiently solving huge linear systems and they have already been shown to scale effectively on millions of cores. Future exascale architectures will require solvers to exhibit even higher levels of concurrency (1B cores), minimize data movement, exploit machine heterogeneity, and demonstrate resilience to faults. While considerable research and development remains to be done, multigrid approaches are ideal for addressing these challenges. In this talk, we will discuss efforts to develop extreme-scale multigrid, including a new parallel time integration approach that has the potential for significant speedups over standard time stepping.
Robert FalgoutLawrence Livermore National Laboratory, USA
Lunch Break12:05 PM-1:30 PMAttendees on their own
Sunday, March 15
MS103High- and Low-order Finite Element Software for the Future - Part I of II9:10 AM-10:50 AMRoom:151 G
For Part 2 see MS128 As scientific problems become larger, computational platforms become more diverse and the complexity of finite element software increases, it is essential to develop software in a sustainable way. The role of software design and the need to effectively manage the development process is therefore more important than ever before. This minisymposium will discuss experiences of how high- and low-order FEM software can be designed, developed and maintained to achieve maximum performance while remaining robust, rigorously tested and able to grow and adapt with the changing needs of the research environment, improvements in the methods and the evolving hardware landscape.
Organizer: David MoxeyImperial College London, United Kingdom
Organizer: Chris CantwellImperial College London, United Kingdom
Organizer: Spencer SherwinImperial College London, United Kingdom
9:10-9:30 Architecting Spectral/HP Element Codes for Modern HardwareChris Cantwell and David Moxey, Imperial
College London, United Kingdom; Mike Kirby, University of Utah, USA; Spencer Sherwin, Imperial College London, United Kingdom
9:35-9:55 What Makes Computational Open Source Libraries Successful?Timo Heister, Clemson University, USA;
Wolfgang Bangerth, Texas A&M University, USA
10:00-10:20 Applying Object-oriented Programming to PDE SolutionsHugh Blackburn, Monash University, Australia
10:25-10:45 Efficient Multithreading Algorithms for High-Order Tensor-Product Finite ElementsTimothy Warburton, David Medina, and
Rajesh Gandham, Rice University, USA
Coffee Break10:50 AM-11:20 AMRoom:255
70 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
MS105Computational Engineering (BGCE) Student Paper Prize- Part II of II1:30 PM-3:10 PMRoom:250 A
For Part 1 see MS80 The 5th Bavarian Graduate School in Computational Engineering (BGCE) Student Paper Prize will be awarded at the 2015 SIAM CS&E Conference for outstanding student work in the field of Computational Science and Engineering. Eligible for the prize will be undergraduate and graduate students prior to receiving their PhD. Candidates are required to summarize their work in a short paper of at most 4 pages. The prize finalists will present their work in this minisymposium. The prize award announcement will be scheduled at one of the last days of the conference.
Organizer: Tobias NeckelTechnische Universität München, Germany
Organizer: Hans-Joachim BungartzTechnische Universität München, Germany
Organizer: Ulrich J. RuedeUniversity of Erlangen-Nuremberg, Germany
Speakers To Be Announced
Sunday, March 15
MS104Featured Minisymposium: Distributed Methods for Optimization1:30 PM-3:10 PMRoom:355 A
Recent advances in data collection, collaborative filtering, and wireless technology have lead to an unprecedented growth in demand for distributed optimization problems with huge data sets. The resulting optimization problems are characterized by distributed and uncertain information, necessitating computations to be done in a non-traditional environment, with imperfect information, over a communication network, and most importantly without a central entity that has an access to the whole information. This minisymposium focuses on most recent optimization techniques dealing with large data sets and distributed components over possibly uncertain networks.
Organizer: Wotao YinUniversity of California, Los Angeles, USA
1:30-1:50 Distributed Optimization in Directed Graphs: Push-Sum Based AlgorithmsAngelia Nedich and Alexander Olshevsky,
University of Illinois at Urbana-Champaign, USA
1:55-2:15 Distributed Optimization in Undirected Graphs: Gradient and EXTRA AlgorithmsWotao Yin, University of California, Los
Angeles, USA; Qing Ling and Kun Yuan, University of Science and Technology of China, China
2:20-2:40 On the O(1/k) Convergence of Asynchronous Distributed Alternating Direction Method of MultipliersErmin Wei and Asuman Ozdaglar,
Massachusetts Institute of Technology, USA
2:45-3:05 Blessing of Scalability: A Tractable Dual Decomposition l-0 Approach for Large Graph EstimationMengdi Wang, Princeton University, USA
Sunday, March 15
MT2Minitutorial: Python Visual Analytics for Big Data - Part II of II1:30 PM-3:10 PMRoom:355
For Part 1 see MT1 Chair: Jonathan Woodring, Los Alamos National Laboratory, USA
Python is a powerful development, computational, and programming environment due to the wide variety of libraries developed for it, and importantly, the enthusiastic, active development and user community. One of the areas where Python excels is visualization and analysis of big data, due to several high-quality modules for both simple and advanced visual analytics. This tutorial will cover the following big-data visualization capabilities in Python: interactive plotting with IPython, matplotlib, and databases, building web visualizations with Bokeh, and Python integration with VTK and ParaView. Additional information will be provided on mapreduce and NoSQL capabilities. This tutorial is intended for intermediate-level participants who have a basic understanding of the Python language and development environment (i.e., the student ought to have an understanding of native (and ideally numpy) data structures, file I/O, and is able to develop and run simple programs). Beginner participants are welcome, but Python fundamentals, such as language constructs, “hello world,” and program execution will not be covered in this tutorial.
Topic C: Bokeh using BlazeAndy R. Terrel, Continuum Analytics, USA
Topic D: VTK + ParaView using HDF5 & NetCDFPatrick O’Leary, Kitware, Inc., USA
2015 SIAM Conference on Computational Science and Engineering 71
Sunday, March 15
MS107Resilience in Numerical Simulations and Algorithms at Extreme Scale: Part II of IV - Runtime1:30 PM-3:10 PMRoom:250 C
For Part 1 see MS82 For Part 3 see MS134 The advent of extreme scale machines will require the use of parallel resources at an unprecedented scale, probably leading to a high rate of hardware faults. Handling fully these faults at the computer system level may have a prohibitive cost. High performance computing applications that aim at exploiting all these resources will thus need to be resilient, in this minisymposium different complementary approaches and methods will be presented to possibly address this key aspect of extreme scale computing.
Organizer: Keita TeranishiSandia National Laboratories, USA
Organizer: Luc GiraudINRIA, France
Organizer: Michael HerouxSandia National Laboratories, USA
Organizer: Emmanuel AgulloINRIA, France
1:30-1:50 Runtime Systems for Fault Tolerant ComputingMarc Casas, Barcelona Supercomputing
Center, Spain
1:55-2:15 Fenix: A Framework for Online Failure Recovery for Scientific Simulations Towards ExascaleMarc Gamell, Rutgers University, USA;
Daniel Katz, Argonne National Laboratory, USA; Keita Teranishi, Hemanth Kolla, and Jacqueline Chen, Sandia National Laboratories, USA; Scott Klasky, Oak Ridge National Laboratory, USA; Manish Parashar, Rutgers University, USA
2:20-2:40 Understanding the Impact of Transient Faults at the Application Level in HPCIgnacio Laguna, Lawrence Livermore National
Laboratory, USA
2:45-3:05 DHARMA: Distributed asyncHronous Adaptive Resilient Management of ApplicationsHemanth Kolla, Janine C. Bennett, Jeremiah
Wilke, Nicole Slattengren, Keita Teranishi, and John Floren, Sandia National Laboratories, USA
2:20-2:40 Quasi-optimal Polynomial Approximation of PDEs with Linear and Nonlinear Stochastic CoefficientsClayton G. Webster, Hoang A. Tran, and
Guannan Zhang, Oak Ridge National Laboratory, USA; Ronald DeVore, Texas A&M University, USA
2:45-3:05 Combining Sparsity and Smoothness for Function InterpolationRachel Ward, University of Texas at Austin,
USA; Holger Rauhut, RWTH Aachen University, Germany
Sunday, March 15
MS106High-dimensional Approximation and Integration: Analysis and Computation - Part II of V1:30 PM-3:10 PMRoom:250 B
For Part 1 see MS81 For Part 3 see MS133 This minisymposium focuses on the fundamental problem of how to accurately approximate solutions of both forward and inverse high-dimensional functions. Predicting the behavior of complex phenomena relies on constructing solutions in terms of high dimensional spaces, particularly in the case when the input data (coefficients, forcing terms, initial and boundary conditions, geometry) are affected by large amounts of uncertainty. The resulting explosion in computational effort is a symptom of the curse of dimensionality and this symposium aims at exploring breakthroughs in sparse sampling and representations, nonlinear and greedy approximations, compressed sensing, multilevel methods, and ”best-N-term” approximations.
Organizer: Clayton G. WebsterOak Ridge National Laboratory, USA
Organizer: Guannan ZhangOak Ridge National Laboratory, USA
Organizer: Max GunzburgerFlorida State University, USA
Organizer: Albert CohenUniversité Pierre et Marie Curie, France
1:30-1:50 Polynomial Approximation of Random PDEs by Discrete Least SquaresFabio Nobile, EPFL, Switzerland; Raul F.
Tempone, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Giovanni Migliorati, EPFL, Switzerland
1:55-2:15 High Dimensional Interpolation for Non Intrusive Treatment of Parametric PDEsAbdellah Chkifa and Albert Cohen,
Université Pierre et Marie Curie, France; Christoph Schwab, ETH Zürich, Switzerland
continued in next column
72 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
MS110Advanced Finite Element Methods for Nonlinear Materials and Fluids - Part II of III1:30 PM-3:10 PMRoom:250 F
For Part 1 see MS85 For Part 3 see MS137 Numerical modeling of materials and fluids with nonlinear behavior plays an increasing role in computational science and engineering, particularly in the high-fidelity simulation of elastic and plastic deformations, magneto-sensitive materials, liquid crystals, biological tissues and blood flow, among others. Despite a long history of efforts, there is still a need for the development of advanced finite-element methods with specific properties such as accurate representation of stresses, forces, and other quantities depending on the application. In many of these applications, mesh-adaptive implementations and efficient solvers are an important issue due to the size and complexity of the problems.
Organizer: James H. AdlerTufts University, USA
Organizer: Gerhard StarkeUniversity of Duisburg-Essen, Germany
Organizer: Thomas ManteuffelUniversity of Colorado Boulder, USA
1:30-1:50 Hybrid FOSLS/ll* for Nonlinear Systems of PDEsThomas Manteuffel, Kuo Liu, Lei Tang, and
John Ruge, University of Colorado Boulder, USA; Chad Westphal, Wabash College, USA
1:55-2:15 Nested Iteration and Adaptive Finite Elements for Ice Sheet ModelsJeffery M. Allen and Thomas Manteuffel,
University of Colorado Boulder, USA; Harihar Rajaram, University of Colorado, USA
2:20-2:40 Parametric Mixed Finite Elements for Two-Phase Flow Interface ProblemsFleurianne Bertrand, Gerhard Starke, and
Steffen Münzenmaier, University of Duisburg-Essen, Germany
2:45-3:05 A Least Squares Finite Element Method for Coupled Surface/Subsurface FlowsSteffen Münzenmaier, University of Duisburg-
Essen, Germany
Sunday, March 15
MS109Error Analysis and Scalability of UQ Methodologies for Inverse Problems - Part II of II1:30 PM-3:10 PMRoom:250 E
For Part 1 see MS84 The application of novel uncertainty quantification (UQ) methodologies to solve stochastic inverse problems for a physical system has improved the predictive capabilities of many computationally complex models. However, a full error analysis and study of scalability for the combined UQ method and computational model is often lacking. This session addresses the issues of error analysis and scalability of several UQ methods applied to stochastic inverse problems associated with specific complex physical systems. Both a priori and a posteriori error analyses of deterministic and stochastic sources of error are considered along with computational challenges in scaling such analyses.
Organizer: Troy ButlerUniversity of Colorado, Denver, USA
Organizer: Steven MattisUniversity of Texas at Austin, USA
1:30-1:50 A Scalable Measure-Theoretic Approach to the Stochastic Inverse Problem for Groundwater ContaminationSteven Mattis and Clint Dawson, University
of Texas at Austin, USA; Troy Butler, University of Colorado, Denver, USA
1:55-2:15 A Scalable Computational Framework for Estimating Model DiscrepancyNishant Panda, Colorado State University,
USA
2:20-2:40 Quantifying Error in An Inadequate Model for Flow in a Porous MediaTeresa Portone, Damon Mcdougall, Todd
Oliver, and Robert D. Moser, University of Texas at Austin, USA
2:45-3:05 Error Decomposition and Adaptivity for Response Surface Approximations with Application to Bayesian InferenceCorey M. Bryant, Serge Prudhomme, and
Todd Oliver, University of Texas at Austin, USA; Tim Wildey, Sandia National Laboratories, USA
Sunday, March 15
MS108Preconditioning and Iterative Methods for Linear Systems - Part II of II1:30 PM-3:10 PMRoom:250 D
For Part 1 see MS83 The solution of large, sparse linear systems remains the limiting component of many problems. Iterative solvers are often the methods of choice for such systems, and effective preconditioning is usually necessary to achieve an acceptable speed of convergence. In this minisymposium we focus on recent developments in preconditioning, the convergence of solvers and the application of iterative methods.
Organizer: Jennifer PestanaUniversity of Manchester, United Kingdom
Organizer: Andy WathenUniversity of Oxford, United Kingdom
1:30-1:50 Exploiting Tropical Algebra in the Construction of PreconditionersJames Hook, Jennifer Pestana, and
Francoise Tisseur, University of Manchester, United Kingdom
1:55-2:15 The Solution of Lyapunov Equations with Nonnormal CoefficientsMark Embree, Virginia Tech, USA; Jonathan
Baker, Rice University, USA; John Sabino, The Boeing Company, USA
2:20-2:40 The Surprising Robustness of the Tracemin Eigensolver to Incorrect Linear SolvesAlicia Klinvex, Purdue University, USA;
Michael Heroux, Sandia National Laboratories, USA; Ahmed Sameh, Purdue University, USA; Mark Hoemmen, Sandia National Laboratories, USA
2:45-3:05 Numerical Solution of PDEs Posed on GraphsMichele Benzi, Emory University, USA
2015 SIAM Conference on Computational Science and Engineering 73
Sunday, March 15
MS112Scientific Software Productivity at Extreme Scale1:30 PM-3:10 PMRoom:251 B
There has been a recent renewed focus on software productivity for scientific applications, especially those that require performance at extreme scales (10k+ and GPU-accelerated cores). The goal of this minisymposium is to engage the broader computational science and engineering software community, to discuss productivity issues that arise when developing high-performance applications. The session will include an overview presentation of forums and efforts focusing on productivity (including a recently funded initiative within DOE); two science application presentations, oriented towards software productivity considerations; and an open facilitated session to gather SIAM CSE community concerns and priorities.
Organizer: Hans JohansenLawrence Berkeley National Laboratory, USA
Organizer: Lois Curfman McInnesArgonne National Laboratory, USA
1:30-1:50 Overview: Software Productivity Challenges for Extreme Scale ScienceLois Curfman McInnes, Argonne National
Laboratory, USA; Hans Johansen, Lawrence Berkeley National Laboratory, USA; Michael Heroux, Sandia National Laboratories, USA
1:55-2:15 Software Productivity Application: Integrated Modeling for Fusion EnergyDavid E. Bernholdt, Wael R. Elwasif, and
Donald B. Batchelor, Oak Ridge National Laboratory, USA
2:20-2:40 Software Productivity Challenges in Environmental ApplicationsDavid Moulton and Ethan T. Coon, Los
Alamos National Laboratory, USA; Carl Steefel, Lawrence Berkeley National Laboratory, USA
2:45-3:05 Software Productivity Community Input: Concerns and PrioritiesJeffrey C. Carver, University of Alabama,
USA; Michael Heroux, Sandia National Laboratories, USA
2:20-2:40 Least Squares Shadowing for Adjoint Calculation of Chaotic and Turbulent PdesPatrick Blonigan and Qiqi Wang,
Massachusetts Institute of Technology, USA
2:45-3:05 Parallel Bayesian Optimization of Massively Parallel Turbulent Flow SimulationsChaitanya Talnikar, Massachusetts Institute
of Technology, USA
Sunday, March 15
MS111Adjoint Methods for Unsteady and Chaotic PDEs and Large-scale Optimization and Control - Part II of II1:30 PM-3:10 PMRoom:251 A
For Part 1 see MS86 We expose a growing intersection of optimization and control using large-scale, unsteady PDE-based simulations. This intersection has traditionally been small because most practitioners perform optimization and control using inexpensive, reduced order models; however, this is changing. Current-day simulations solving unsteady and chaotic PDEs, such as the Navier-Stokes equations, are leveraging advance in high performance computing. Petascale, and soon exascale, supercomputers are increasingly available to researchers, enabling them to attempt optimization and control directly using large-scale simulations. The resulting area of large-scale optimization and control, particularly with the aid of the unsteady adjoint method, is the theme of this proposed minisymposium.
Organizer: Qiqi WangMassachusetts Institute of Technology, USA
Organizer: Nicolas R. GaugerTechnische Universität Kaiserslautern, Germany
Organizer: Daniel J. BodonyUniversity of Illinois at Urbana-Champaign, USA
1:30-1:50 Actuator and Sensor Placement for Controlling High-Speed Jet NoiseMahesh Natarajan and Daniel J. Bodony,
University of Illinois at Urbana-Champaign, USA
1:55-2:15 Using Imperfect Outputs and Derivatives in Large-scale OptimizationJason E. Hicken, Rensselaer Polytechnic
Institute, USA
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74 2015 SIAM Conference on Computational Science and Engineering
1:55-2:15 A Fast Explicit Operator Splitting Method for a Multi-scale Underground Oil Recovery ModelYing Wang, University of Oklahoma, USA
2:20-2:40 Computational Study of Dynamics and Transport in Vortex-Dipole FlowsLing Xu, Georgia State University, USA
2:45-3:05 A Stabilized Explicit Scheme for Coupling Fluid-structure InteractionsYue Yu, Lehigh University, USA
Sunday, March 15
MS114AWM Meeting - Workshop: Research Talks by Recent Ph.D.s: Mathematical Modeling and High-performance Computing for Multi-physics and Multi-scale Problems. Part II of II1:30 PM-3:10 PMRoom:251 D
For Part 1 see MS89 Sponsored by Association for Women in Mathematics (AWM)
This minisymposium highlights selected research talks by female recent Ph.D.s in developing multiscale multiphysics models, computational methodologies, and high-performance computing. Advances in science and engineering—in disciplines ranging from health to energy and the environment to defense—rely on predictive measurement and analysis of multiscale multiphysics systems. Such advances are essential for scientific discovery, engineering design and policy making. The participants of the minisymposium will discuss advanced computational algorithms and simulation strategies for solving modern and next-generation systems that require analyzing complex physical phenomena such as fluid-solid interactions, mechanics of biological materials, moleculer motions, charge transport, ocean and cloud dynamics, and oil recovery process. The topics include physical modeling, mathematical analysis, numerical analysis, algorithms, implementation, performance, and scalability. This minisymposium is part of the Association for Women in Mathematics(AWM) workshop that will promote cross-fertilization of ideas among women scientists in multiple disciplines.
Organizer: MiSun MinArgonne National Laboratory, USA
Organizer: Fengyan LiRensselaer Polytechnic Institute, USA
Organizer: Jingmei QiuUniversity of Houston, USA
1:30-1:50 A Study of the Entanglement in Polymer MeltsEleni Panagiotou, University of California,
Santa Barbara, USA
Sunday, March 15
MS113Fluid Transport Dynamics in Biology and Medicine
1:30 PM-3:10 PMRoom:251 C
Part of the SIAM Workshop Celebrating Diversity
Fluid dynamics, especially blood flow, govern many physiological processes. The function of biological entities and the success of clinical treatments can be affected by the fluid environment. Understanding the transport mechanisms from vessels into the surrounding medium is also critical in the design of drug delivery vehicles and treatment protocols. This session will highlight mathematical and computational methods for simulating important flow-dependent processes, including biological and therapeutic applications.
Organizer: Erica J. GrahamNorth Carolina State University, USA
Organizer: Ami RadunskayaPomona College, USA
Organizer: Raegan HigginsTexas Tech University, USA
Organizer: Susan E. MinkoffUniversity of Texas at Dallas, USA
Organizer: Stephen WirkusArizona State University, USA
1:30-1:50 Modeling the Effects of Flow on Anticoagulant TherapyErica J. Graham, North Carolina State
University, USA; Lisette dePillis, Harvey Mudd College, USA; Kaitlyn Hood, University of California, Los Angeles, USA; Yanping Ma, Loyola Marymount University, USA; Julie Simons, Tulane University, USA; Ami Radunskaya, Pomona College, USA
1:55-2:15 Navier Slip Condition for Viscous Fluids on a Rough BoundarySilvia Jimenez Bolanos, Colgate University,
USA; Bogdan M. Vernescu, Worcester Polytechnic Institute, USA
2:20-2:40 Cooperative Swimming in Viscous EnvironmentsJulie Simons, Lisa J. Fauci, and Ricardo
Cortez, Tulane University, USA
2:45-3:05 Taming Targeted Drug Delivery: a Mathematical Model of Triggered Drug Delivery Across the Blood-Brain BarrierAmi Radunskaya, Pomona College, USA
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2015 SIAM Conference on Computational Science and Engineering 75
Sunday, March 15
MS117Applied Mathematics and Computation in the Pharmaceutical Industry - Part II of II1:30 PM-2:45 PMRoom:254 A
For Part 1 see MS92 The pharmaceutical industry continues to rapidly develop analytical capabilities tackling scientific, engineering, manufacturing and market challenges. We highlight current mathematical and computational frontiers and areas of interest to the industry in this minisymposium. Specific areas include modeling and simulation, optimization, image processing and data mining/modeling. Modeling and simulation is used in both scientific and business applications within the industry. We highlight disease and treatment models as well as models underlying objective functions in optimization. Data mining/modeling is now driven by large amounts of biomarker data varying from next generation sequencing to ultra-high resolution imaging.
Organizer: Jeffrey SaltzmanAstraZeneca, USA
1:30-1:50 Imaging Biomarkers in Biopharmaceutical IndustryBelma Dogdas, Merck & Co., Inc., USA
1:55-2:15 Imaging Genomics for Pharmaceutical ApplicationsSangeetha Somayajula and Chandni
Valiathan, Merck & Co., Inc., USA
2:20-2:40 Simulation-Based Analysis of Complex Decision Options in Pharmaceutical Research and DevelopmentOtto Ritter, Independent Consultant, USA
Sunday, March 15
MS116Parametric Model Reduction and Inverse Problems - Part II of IV1:30 PM-2:45 PMRoom:251 F
For Part 1 see MS91 For Part 3 see MS143 In recent years model reduction techniques have been used to efficiently solve forward problems given, for instance, as PDEs, dynamical systems or complex networks. In this minisymposium we want explore applications of model reduction in the context of inverse problems.
Organizer: Eldad HaberUniversity of British Columbia, Canada
Organizer: Lars RuthottoEmory University, USA
Organizer: Eric De SturlerVirginia Tech, USA
Organizer: Misha E. KilmerTufts University, USA
Organizer: Christopher A. BeattieVirginia Tech, USA
Organizer: Serkan GugercinVirginia Tech, USA
1:30-1:50 From Data to Prediction Via Reduced Parameter-to-Observable Maps: Applications to Antarctic Ice Sheet FlowOmar Ghattas and Toby Isaac, University
of Texas at Austin, USA; Noemi Petra, University of California, Merced, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA
1:55-2:15 Combined State and Parameter Reduction for the Inversion of Functional Neuroimaging DataChristian Himpe, University of Münster,
Germany; Mario Ohlberger, University of Muenster, Germany
2:20-2:40 Convergence of Inverse Problems using Reduced Order ModelsEric De Sturler, Virginia Tech, USA
Sunday, March 15
MS115Software and Methods for Spatial Modeling and Simulation in Systems Biology - Part II of II1:30 PM-3:10 PMRoom:251 E
For Part 1 see MS90 Simulation of spatially inhomogeneous biological systems is a challenging problem that has motivated the development of various software packages. Simulation challenges include the multiphysics/multiscale nature of the systems and the need to capture stochastic effects. Modeling challenges include specification of the reaction systems, geometry and mesh generation for complex and dynamic shapes. Software issues include testing and verification, user community issues, and dissemination and promotion. Also, there are the issues of model sharing, validation and reproducibility of results. This minisymposium brings together representatives of different software packages from the computational systems biology community to discuss these challenges.
Organizer: Andreas HellanderUppsala University, Sweden
1:30-1:50 Interactive, Distributed Spatial Stochastic Simulation with PyURDME and MOLNsBrian Drawert, University of California,
Santa Barbara, USA
1:55-2:15 Gepetto/OpenWormStephen Larson, OpenWorm.org, USA
2:20-2:40 Reaction-diffusion and Electrical Signaling in Neurons (Rdesigneur): a System for Multiscale Modeling in MOOSEUpinder Bahlla, National Center for
Biological Sciences, India
2:45-3:05 Stochastic Simulation at Your ServiceLinda R. Petzold, University of California,
Santa Barbara, USA
76 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
MS120Computational Methods for Kinetic Equations and Related Models - Part V of V1:30 PM-3:10 PMRoom:150 AB
For Part 4 see MS95 Kinetic descriptions play an important role in a variety of physical, biological, and even social applications. Unfortunately, the large phase space associated with the kinetic description has in the past made simulations impractical in most settings. However, recent advances in computer resources and numerical algorithms are making kinetic models more tractable, and this trend is expected to continue in the future. The purpose of this minisymposium is to report on the continuing progress on numerical analysis and computational science for kinetic equations. It brings together researchers from applied mathematics, computational science, physics, and engineering communities to discuss their work and exchange ideas.
Organizer: Martin FrankRWTH - Aachen University of Technology, Germany
Organizer: Cory HauckOak Ridge National Laboratory, USA
Organizer: Ryan G. McClarrenTexas A&M University, USA
Organizer: Jingmei QiuUniversity of Houston, USA
Organizer: Jeffrey A. WillertLos Alamos National Laboratory, USA
1:30-1:50 Kinetic Equation in a Bounded DomainQin Li, California Institute of Technology,
USA
1:55-2:15 A Fast Conservative Spectral Solver for the Nonlinear Boltzmann Collision OperatorJeffrey Haack, University of Texas at Austin,
USA; Jingwei Hu, Purdue University, USA; Irene M. Gamba, University of Texas at Austin, USA
Sunday, March 15
MS119Student Days: SIAM Student Chapter Presentations - Part II of II1:30 PM-3:10 PMRoom:254 C
For Part 1 see MS94 SIAM Student Chapter presentations.
Organizer: Rachel LevyHarvey Mudd College, USA
1:30-1:41 Sublinear Preconditioners for the 2D Helmholtz EquationLeonardo Zepeda-Núñez and Laurent
Demanet, Massachusetts Institute of Technology, USA
1:46-1:57 Solving the Heat Equation with WaveletsAnne Reinarz and Alexey Chernov,
University of Reading, United Kingdom
2:02-2:13 Analysis of a Heterogeneous Multiscale Method for PoroelasticityPaul M. Delgado, Vinod Kumar, and Son
Young Yi, University of Texas at El Paso, USA
2:18-2:29 Experimental Analysis of the Performance of GeoClaw, AnuGA and SurfWB-UC Numerical Models for the Simulation of Tsunami Inundation PhenomenaJosé Galaz and Rodrigo Cienfuegos,
Pontificia Universidad Católica de Chile, Chile
2:34-2:45 Stabilization in Relation to Wavenumber in HDG MethodsNicole Olivares and Jay Gopalakrishnan,
Portland State University, USA; Liang Li, University of Electronic Science and Technology of China, China; Ronan Perrussel, Universite de Toulouse, France
2:50-3:01 Incompressible Flow and (Stabilised) Mixed Finite Element Methods on Highly Stretched MeshesAndreas Wachtel, University of Strathclyde,
United Kingdom; Mark Ainsworth, Brown University, USA; Gabriel R. Barrenechea, University of Strathclyde, United Kingdom
Sunday, March 15
MS118Computational Applications Performing at Petascale Level and Beyond - Part II of II1:30 PM-3:10 PMRoom:254 B
For Part 1 see MS93 Large-scale simulations are required to validate and then exercise complex multiscale models such as weather forecasting, computational astronomy, or industrial burners. This minisymposium highlights the impact of petascale computing on scientific discoveries by presenting the recent work of several research teams that develop and employ applications to tackle such challenging problems using full capabilities of modern leadership-class supercomputers. Discussions emphasize both the scientific impact of the related work and the challenges associated with computing at such scale.
Organizer: Bilel HadriKing Abdullah University of Science & Technology (KAUST), Saudi Arabia
Organizer: Hatem LtaiefKing Abdullah University of Science & Technology (KAUST), Saudi Arabia
1:30-1:50 What Are the Priorities Beyond Petascale Computing?Thomas C. Schulthess, ETH Zürich,
Switzerland
1:55-2:15 Petascale Medical SimulationsMichael Resch, University of Stuttgart,
Germany; Ralf Schneider, High Performance Computing Center Stuttgart, Germany
2:20-2:40 Petascale Simulation of Hurricane Sandy Using WRF Weather Model on Cray XE6 Blue WatersPete Johnsen, Cray, Inc., USA; Mark Starka,
National Center for Supercomputing Applications (NCSA), USA; Melvyn Shapiro, Alan Norton, and Thomas Galarneau, National Center for Atmospheric Research, USA
2:45-3:05 Petascale Simulations of Cloud Cavitation CollapseCostas Bekas, IBM Research, USA
continued on next page
2015 SIAM Conference on Computational Science and Engineering 77
2:20-2:40 Parallel Mesh Curving and Adaptation with High-Order Surface Continuity for High-Order Finite Element SimulationsQiukai Lu, Dan A. Ibanez, and Mark
S. Shephard, Rensselaer Polytechnic Institute, USA
2:45-3:05 High-Order Surface Reconstruction with Applications in Parallel Meshing and Finite Element SolversXiangmin Jiao, State University of New
York, Stony Brook, USA; Navamita Ray, Argonne National Laboratory, USA; Cao Lu and Xinglin Zhao, Stony Brook University, USA
Sunday, March 15
MS121Frameworks, Algorithms, and Scalable Technologies for Parallel Unstructured Mesh Workflows - Part II of II1:30 PM-3:10 PMRoom:258
For Part 1 see MS97 This minisymposium presents recent advances in the development of parallel unstructured mesh methods and highlights their use in applications. These technologies are designed and implemented to support reliable simulation technologies that run on today’s leadership-class parallel systems with specific attention to next generation and emerging architectures that will bridge the peta-to-exascale gap. Unstructured meshing technologies presented in these sessions will emphasize memory-efficiency through array based data structures and adaptivity, increased fidelity through high-order methods, and parallelism in mesh generation, adaptation, and in-memory workflows. Many of the minisymposium presentations are associated with the DOE SciDAC FASTMath institute (http://www.fastmath-scidac.org/).
Organizer: Cameron SmithRensselaer Polytechnic Institute, USA
Organizer: Mark S. ShephardRensselaer Polytechnic Institute, USA
1:30-1:50 Parallel Meshing Technologies for Large Scale Adaptive SimulationsSaurabh Tendulkar, Mark Beall, and Rocco
Nastasia, Simmetrix, Inc., USA; Mark S. Shephard, Rensselaer Polytechnic Institute, USA
1:55-2:15 OCC-Based Meshing for RGG Applications Using MeshKitRajeev Jain, Argonne National Laboratory,
USA; Jacob Becker, Kitware, Inc., USA; Vijay Mahadevan, Argonne National Laboratory, USA; Patrick Shriwise, University of Wisconsin, Madison, USA; Robert O’Bara, Kitware, Inc., USA; Iulian Grindeanu, Argonne National Laboratory, USA
2:20-2:40 High-Order Semi-Lagrangian Discontinuous Galerkin Methods for Kinetic Plasma ModelsDavid C. Seal, Michigan State University,
USA; James A. Rossmanith, Iowa State University, USA; Andrew J. Christlieb, Michigan State University, USA
2:45-3:05 A Monte Carlo Method with Negative Particles for General Binary Collisions and Application to Coulomb CollisionsBokai Yan and Russel Caflisch, University of
California, Los Angeles, USA
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78 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
MS124Large Scale Phasefield Simulations of Solidification Processes1:30 PM-3:10 PMRoom:260 A
In this minisymposium we focus on the formation of patterns during the solidification process of binary and ternary eutectic systems using phase-field simulations. Depending on several different material and process parameters, the occurring patterns are changing. These patterns have a significant influence on the mechanical properties of the component. For the prediction of realistic and nonideal systems and to minimize the boundary effects, large simulation domains are required. To solve the phase-field evolution equations coupled with the evolution of concentration and temperature, in large domains, highly parallel and optimized algorithms are needed. For this some of the largest, currently available, computers are used.
Organizer: Harald KoestlerUniversity of Erlangen-Nuremberg, Germany
Organizer: Martin BauerUniversity of Erlangen-Nuremberg, Germany
1:30-1:50 Massively Parallel Phase-Field Simulations using HPC Framework waLBerlaMartin Bauer, Harald Koestler, and Ulrich
J. Ruede, University of Erlangen-Nuremberg, Germany
1:55-2:15 Large Scale and Massive Parallel Phase-field Simulations of Pattern Formations in Ternary Eutectic SystemsJohannes Hötzer, Hochschule Karlsruhe
Technik und Wirtschaft, Germany; Marcus Jainta, Philipp Steinmetz, and Britta Nestler, Karlsruhe Institute of Technology, Germany
Sunday, March 15
MS123High-Order Methods for Computational Fluid Dynamics - Part II of IV1:30 PM-3:10 PMRoom:259
For Part 1 see MS98 For Part 3 see MS150 Novel contributions in the field of high-order numerical methods for computational fluid dynamics. Presentations will explore new high-order methods, benchmarking of existing schemes, and applications to turbulent flow problems.
Organizer: Brian C. VermeireImperial College London, United Kingdom
Organizer: Antony JamesonStanford University, USA
Organizer: Peter E. VincentImperial College London, United Kingdom
1:30-1:50 Further Developments in the Flux Reconstruction MethodAntony Jameson, Stanford University, USA
1:55-2:15 Spectral Difference Method for Large Eddy Simulation Using Non-Conforming and Sliding MeshesBin Zhang and Chunlei Liang, George
Washington University, USA
2:20-2:40 Turbulent Wall Modelling for High-Order Unstructured Methods on GPUsBrian C. Vermeire and Peter E. Vincent,
Imperial College London, United Kingdom
2:45-3:05 High-Order Methods for Turbulent Flow Simulations on Deforming DomainsPer-Olof Persson, University of California,
Berkeley, USA
Sunday, March 15
MS122Computational Approaches and Multi-scale Modeling of Complex Fluids - Part II of II1:30 PM-3:10 PMRoom:150 DE
For Part 1 see MS96 Complex fluids, which are suspensions of particles in a viscous liquid, can exhibit both viscous and elastic response to external forcing. Capturing the exact interplays between the particles and the surrounding fluid in a continuum modeling presents significant challenges as hydrodynamics interactions happen on short and long scales. Added difficulties arise when such suspensions interact with boundaries, where peculiar behavior has been experimentally observed, or when the surrounding fluid itself is viscoelastic, as it is the case of most biological liquid. This minisymposium’s goal is to explore recent advances, especially on the computational front, on both topics.
Organizer: Christel HoheneggerUniversity of Utah, USA
Organizer: Enkeleida LushiBrown University, USA
1:30-1:50 Computational Models of Cilia and Flagella in a Brinkman FluidKarin Leiderman, University of California,
Merced, USA; Sarah D. Olson, Worcester Polytechnic Institute, USA
1:55-2:15 Accurate Simulations of Complex Fluid Flow in Domains with Smooth Boundaries Using Fft-Based Spectral MethodsDavid Stein and Becca Thomases, University
of California, Davis, USA
2:20-2:40 Fluid Coupling in Continuum Modeling of Microtubule Gliding AssaysTamar Shinar and Steven Cook, University
of California, Riverside, USA; Christel Hohenegger, University of Utah, USA
2:45-3:05 Modeling Active Flows and Stress Generation in Microtubule-Motor NetworksRobert Blackwell, Meredith Betterton, and
Matthew Glaser, University of Colorado, USA; Michael J. Shelley and Tony Gao, Courant Institute of Mathematical Sciences, New York University, USA
continued on next page
2015 SIAM Conference on Computational Science and Engineering 79
Sunday, March 15
MS126Advances in Radial Basis Function and Other Meshfree Methods - Part V of V1:30 PM-3:10 PMRoom:151 AB
For Part 4 see MS101 Meshfree methods have many inherent properties that make them useful for a variety of problems in science and engineering, from fitting data to numerically solving differential equations. Such methods offer geometric flexibility, non-uniform resolution, and advantageous trade-offs between accuracy and computational costs. This minisymposium focuses primarily on methods based on radial basis functions and other more general kernels. The talks will address recent advances in the application of these methods to large-scale problems in biology, geophysics, image processing, and finance, as well as theoretical advances in the methods themselves.
Organizer: Varun ShankarUniversity of Utah, USA
Organizer: Grady B. WrightBoise State University, USA
1:30-1:50 Kernel-Based Image ReconstructionFrank Filbir, Technische Universität
München, Germany
1:55-2:15 Reproducing Kernels in Parametric Partial Differential EquationsChristian Rieger, Universität Bonn,
Germany
2:20-2:40 Meshfree Computations with SPH and Vortex MethodsPrabhu Ramachandran, Indian Institute of
Technology-Bombay, India
2:45-3:05 A Numerical Study of the Accuracy of Divergence-Free Kernel ApproximationsArthur Mitrano, Arizona State University,
USA
Sunday, March 15
MS125Analysis of Noisy Networks in Theory and Practice - Part II of II1:30 PM-3:10 PMRoom:260 B
For Part 1 see MS100 Network analysis is an elegant, graph-based method for studying complex systems of interacting entities. However, real-world observed systems inherently include some discrepancy from reality. For example, measurements may not be exact, as not all relations are observed. Since traditional graph theory deals with exact mathematics, one of the most challenging aspects of network analysis is accounting for this noise. This minisymposium will include talks from application experts on how they handle noise, and presentations about the effect of noise in networks generally. We conclude with a discussion on how the general theory and application-specific methods can benefit from each other.
Organizer: Sanjukta BhowmickUniversity of Nebraska, Omaha, USA
Organizer: Benjamin A. MillerMassachusetts Institute of Technology, USA
1:30-1:50 Pockets of Instability in Network Centrality MetricsVladimir Ufimtsev and Sanjukta Bhowmick,
University of Nebraska, Omaha, USA
1:55-2:15 Using Consensus to Inform Stochastic Graph AggregationLayla Oesper, Brown University, USA;
Rajmonda Caceres, Massachusetts Institute of Technology, USA
2:20-2:40 Statistical Inference on Errorfully Observed GraphsCarey Priebe, Johns Hopkins University,
USA; Daniel L. Sussman, Harvard University, USA; Minh Tang, Johns Hopkins University, USA; Joshua Vogelstein, Duke University, USA; Vince Lyzinski, Donniell Fishkind, Nam Lee, Youngser Park, and Avanti Athreya, Johns Hopkins University, USA
2:45-3:05 Discussion on Future Directions of Noisy NetworksSanjukta Bhowmick, University of Nebraska,
Omaha, USA; Benjamin A. Miller, Massachusetts Institute of Technology, USA
2:20-2:40 Large-scale Multi-Phase-Field Simulation of Abnormal Polycrystalline Grain Growth using TSUBAME2.5 GPU-SupercomputerAkinori Yamanaka and Masashi Okamoto,
Tokyo University of Agriculture and Technology, Japan; Takashi Shimokawabe and Takayuki Aoki, Tokyo Institute of Technology, Japan
2:45-3:05 Multi-Gpu Phase-Field Lattice Boltzmann Simulations for Growth and Moving of Binary Alloy DendriteTomohiro Takaki and Roberto Rojas, Kyoto
Institute of Technology, Japan; Takashi Shimokawabe and Takayuki Aoki, Tokyo Institute of Technology, Japan
80 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
Poster Blitz3:10 PM-4:30 PMRoom:355
Sunday Poster Session & ReceptionPP1 Computational Fluid Dynamics4:30 PM-6:30 PMRoom:255
Lid Driven Cavity Simulations in 2d and 3d Using High Accurate MethodsBadr Alkahtani, King Saud University, Saudia
Arabia
Numerical Study of Thin Viscoelastic Films on SubstratesValeria Barra and Shahriar Afkhami, New
Jersey Institute of Technology, USA
Flusepa - a Navier-Stokes Solver for Unsteady Problems with Bodies in Relative Motion : Toward a Task-Based Parallel Version over a Runtime System for Large SimulationsJean Marie Couteyen Carpaye and Jean
Roman, INRIA, France; Pierre Brenner, Airbus Defence and Space, Germany
A Novel Modeling Approach for Multiscale, Multiphysics FlowDerek A. Cline, University of Utah, USA
Efficiency of an Adjoint Industrial CFD CodeZahrasadat Dastouri, Johannes Lotz, and
Uwe Naumann, RWTH Aachen University, Germany
Production of Dissipative Vortices by Solid Bodies in the Inviscid Limit of Incompressible Fluid Flows: Comparison Between Prandtl, Navier-Stokes and Euler SolutionsMarie Farge, Ecole Normale Superieure,
France; Romain Nguyen van yen and Matthias Waidmann, Freie Universitaet Berlin, Germany; Kai Schneider, Aix-Marseille Université, France; Rupert Klein, Freie Universitaet Berlin, Germany
Sunday, March 15
MS128High- and Low-order Finite Element Software for the Future - Part II of II1:30 PM-3:10 PMRoom:151 G
For Part 1 see MS103 As scientific problems become larger, computational platforms become more diverse and the complexity of finite element software increases, it is essential to develop software in a sustainable way. The role of software design and the need to effectively manage the development process is therefore more important than ever before. This minisymposium will discuss experiences of how high- and low-order FEM software can be designed, developed and maintained to achieve maximum performance while remaining robust, rigorously tested and able to grow and adapt with the changing needs of the research environment, improvements in the methods and the evolving hardware landscape.
Organizer: David MoxeyImperial College London, United Kingdom
Organizer: Chris CantwellImperial College London, United Kingdom
Organizer: Spencer SherwinImperial College London, United Kingdom
1:30-1:50 Nek5000: An Environment for Scalable Algorithm Development and Production SimulationsPaul F. Fischer, Argonne National
Laboratory, USA
1:55-2:15 Anisotropic Mesh Adaptation for the Many-core EraGerard J Gorman, Imperial College London,
United Kingdom
2:20-2:40 H-to-P Efficiently: a Nektar++ Update on Comparisons of Cg and HdgMike Kirby, University of Utah, USA
2:45-3:05 Heterogeneous Computing with a Homogeneous CodebaseFreddie Witherden and Peter E. Vincent,
Imperial College London, United Kingdom
Sunday, March 15
MS127Parallel, Adaptive Methods for Logically Cartesian Meshes - Part II of II1:30 PM-3:10 PMRoom:151 DE
For Part 1 see MS102 Adaptive refined Cartesian mesh methods, which started with the seminal paper by Berger-Oliger in 1984 have now been in development for just over 30 years. However, there are still many questions about the scalability of these methods. The meta-data needed to store sub-grid locations can become prohibitive, and dynamic refinement an present a challenging parallel problem. However recent developments in quad tree adaptation, as well as other approaches taken for Berger Oliger type refinement may overcome some of these problems. In this minisymposium, speakers have been asked to address the scalability of their adaptive frameworks, and more generally, share experiences using available packages, including Chombo, Paramesh, p4est, Overture, AMRClaw, GeoClaw and ForestClaw.
Organizer: Donna CalhounBoise State University, USA
Organizer: Carsten BursteddeUniversität Bonn, Germany
1:30-1:50 Recent Developments in Forest-of-octrees AMRCarsten Burstedde, Universität Bonn,
Germany; Toby Isaac and Omar Ghattas, University of Texas at Austin, USA; Donna Calhoun, Boise State University, USA
1:55-2:15 Runtimes and Autotuning and Hybrid, Oh My! Chombo Navigates the Waters of ExascaleBrian Van Straalen, Lawrence Berkeley
National Laboratory, USA
2:20-2:40 Exploring Astrophysical Flows with High-fidelity Large-scale SimulationsMin Long, Boise State University, USA
2:45-3:05 An Implicit, High-Order Accurate, Incompressible Navier-Stokes Solver on Overlapping GridsKyle Chand, Lawrence Livermore National
Laboratory, USA
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2015 SIAM Conference on Computational Science and Engineering 81
Higher Order Numerical Schemes for Convection Diffusion Equation Based on B-Spline Quasi-InterpolationRakesh Kumar and Sambandam Baskar,
Indian Institute of Technology-Bombay, India
NIST AMR BenchmarksWilliam F. Mitchell, National Institute of
Standards and Technology, USA
Finite Element Methods for the Evolution Problem in General RelativityVincent Quenneville-Belair, University of
Minnesota, USA
Massively Parallel Radiation Transport Sweeps on Unstructured GridsJean C. Ragusa, Tarek Ghaddar, and Michael
Adams, Texas A&M University, USA
The Discrete Maximum Principle in the Family of Mimetic Finite Difference MethodsDaniil Svyatskiy, Gianmarco Manzini, and
Konstantin Lipnikov, Los Alamos National Laboratory, USA
A Locally Adaptive RBF-FD MethodWade Meyers, University of Wisconsin,
Stout, USA; Talin Masihimirzakhanian, California Polytechnic State University, Pomona, USA; Keith Wojciechowski, University of Wisconsin, Stout, USA
A Second-Order Maximum Principle Preserving Lagrange Finite Element Technique for Nonlinear Scalar Conservation EquationsJean-Luc Guermond, Murtazo Nazarov,
Bojan Popov, and Yong Yang, Texas A&M University, USA
Sunday, March 15
PP2Numerical PDEs4:30 PM-6:30 PMRoom:255
A Non Standard Scheme for Nagumo Type Differential EquationsAdebayo A. Aderogba, Michael Chapwanya,
and Pius Chin, University of Pretoria, South Africa
Reduced Basis Methods for Calibration and Option PricingOlena Burkovska, Kathrin Glau, Mirco
Mahlstedt, and Barbara Wohlmuth, Technical University of Munich, Germany
A Fast and Stable Explicit Operator Splitting Method for Phase-Field ModelsYuanzhen Cheng, Alexander Kurganov, and
Zhuolin Qu, Tulane University, USA; Tao Tang, Hong Kong Baptist University, Hong Kong
Method of Lines Transpose Schemes for Parabolic ProblemsHana Cho and Andrew J. Christlieb,
Michigan State University, USA; Matt Causley, Kattering University, USA; David Seal, Michigan State University, USA
Comparison of Nonlinear and Linear Stabilization Schemes for Advection-Diffusion EquationsRyan R. Grove and Timo Heister, Clemson
University, USA
A Task-Parallel Approach for Solving PDEs on a LatticeJohn T. Hutchins, Derek A. Cline, and James
C. Sutherland, University of Utah, USA
Finite Element Analysis of Free Material Optimization ProblemsTobias Jordan and Michael Hinze,
University of Hamburg, Germany
Physics-Compatible Lagrangian Space and Time-Staggered Hydrodynamics SchemesChristophe Fochesato, Alexandra Claisse,
and Antoine Llor, CEA, France
A Numerical Study of Shock-Induced Cavity Collapse in a Solid ExplosiveJames R. Gambino, Ashwani K. Kapila,
Donald W. Schwendeman, and William Henshaw, Rensselaer Polytechnic Institute, USA
Scalable Advection Algorithms for Multi-Tracers in Climate CodesIulian Grindeanu, Argonne National
Laboratory, USA; Kara Peterson, Sandia National Laboratories, USA; Vijay Mahadevan, Navamita Ray, and Rajeev Jain, Argonne National Laboratory, USA
Fast Ship Hydrodynamics Via Novel MethodsStavros Kontos, Technical University of
Denmark, Denmark; Ole Lindberg, FORCE Technology, Denmark; Allan Engsig-Karup and Harry Bingham, Technical University of Denmark, Denmark
A Conservative, Positivity Preserving Scheme for Reactive Solute Transport Problems in Moving DomainsSibusiso Mabuza, University of Houston,
USA
Singly-Periodic Stokes Flow with a WallForest O. Mannan and Ricardo Cortez,
Tulane University, USA
Computational Hydrodynamics: How Portable and Scalable Are Heterogeneous Programming Paradigms?Wojciech Pawlak and Allan Engsig-Karup,
Technical University of Denmark, Denmark; Stefan Glimberg, Lloyd’s Register Consulting, United Kingdom
A Fully Discrete Derivation of a Direct Ale Conservative Scheme for Compressible HydrodynamicsThibaud Vazquez-Gonzalez, Antoine Llor,
and Christophe Fochesato, CEA, France
continued in next column
82 2015 SIAM Conference on Computational Science and Engineering
Reaction of a Solid Tumor According to the Injection of Medical Supplies into Heart and LiverJaegwi Go, Changwon National University,
Korea
Newtonian and Non-Newtonian Fluid Dynamics in Abdominal Aortic AneurysmsDanielle D. Masse and Jason Howell,
College of Charleston, USA
Topology Backs Alternative Medicine ClaimFernando Schwartz, University of Tennessee,
USA; Louis Xiang, Chinese University of Hong Kong, Hong Kong; Kwai L. Wong, University of Tennessee and Oak Ridge National Laboratory, USA
Shear Wave Filtering in Bouligand StructuresNicolas Guarin Zapata, Purdue University,
USA; Juan Gomez, Universidad EAFIT, Colombia; Nick Yaraghi and David Kisailus, University of California, USA; Pablo Zavattieri, Purdue University, USA
Sunday, March 15
PP4Biomedical Applications4:30 PM-6:30 PMRoom:255
Reduced Order Modelling for Optimal Cancer TreatmentBahodir Ahmedov, Aachen Institute for
Advanced Study in Computational Engineering Science, Germany; Michael Herty and Martin Grepl, RWTH Aachen University, Germany
A Mesh Free Method for Numerical Simulation of Calcium Dynamics In Ventricular MyocytesEmmanuel O. Asante-Asamani, Bruce Wade,
and Zeyun Yu, University of Wisconsin, Milwaukee, USA
Computed Tear Film and Solute Dynamics on An Eye-Shaped DomainRichard Braun, University of Delaware,
USA; Longfei Li, Rensselaer Polytechnic Institute, USA; Tobin Driscoll, University of Delaware, USA; William Henshaw and Jeffrey Banks, Rensselaer Polytechnic Institute, USA; P. Ewen King-Smith, The Ohio State University, USA
The Transcriptomic Clock of Human Cerebral Cortex DevelopmentElisabeth M. Brown, Kristin Bennett,
Hannah De Los Santos, and Joey Lea, Rensselaer Polytechnic Institute, USA; Nathan Boles, Thomas Kiehl, Sally Temple, and Christopher Fasano, Neural Stem Cell Institute, USA
Computational Methods to Study the Coordination of Mechanical Forces Involved in Amoeboid Cell MigrationCalina A. Copos and Robert D. Guy,
University of California, Davis, USA
Segmentation and Processing of Brain Images of Multiple Modalities in 2 and 3 DimensionsJohn Edwards, Brian Summa, Valerio
Pascucci, and Christopher Johnson, University of Utah, USA
Improving Performance of Multi-Level Nonrigid Registration of Two Ct-Based Lung Images With Use of Gpu ComputingNathan Ellingwood and Youbing Yin,
University of Iowa, USA; Matthew Smith, National Cheng Kung University, Taiwan; Ching-Long Lin, University of Iowa, USA
Sunday, March 15
PP3Linear Algebra and Data Analysis4:30 PM-6:30 PMRoom:255
A New Test for Exclusion Algorithm to Find the Optimum Value of Function in Rn
Ibraheem Alolyan, King Saud University, Saudia Arabia
Approximation and Error Estimation in High Dimensional Space for Stochastic Collocation Methods on Arbitrary Sparse SamplesRichard Archibald, Oak Ridge National
Laboratory, USA
Rational Least Squares Fitting using Krylov SpacesMario Berljafa and Stefan Guettel, University
of Manchester, United Kingdom
A Hybrid Openmp/mpi Cg Iterative Eigensolver for First-Principles Plane Wave Materials Science CodesAndrew M. Canning, Lawrence Berkeley
National Laboratory, USA
All Real Eigenvalues of Symmetric TensorsCui Chunfeng and Dai Yu-Hong, Chinese
Academy of Sciences, China; Nie Jiawang, University of California, San Diego, USA
A Python Toolbox for Shape Optimization in Imaging and Data AnalysisGunay Dogan, National Institute of Standards
and Technology, USA
Discovering Block Structure in Graphs with Approximate EigenvectorsJames Fairbanks, Georgia Institute of
Technology, USA; Geoffrey D. Sanders, Lawrence Livermore National Laboratory, USA
Efficient Multigrid Methods for Distributed Optimal Control Problems Constrained by Parabolic EquationsMona Hajghassem and Andrei Draganescu,
University of Maryland, Baltimore County, USA
Computing the Heat Kernel of a Graph for a Local Clustering AlgorithmOlivia Simpson, University of California, San
Diego, USA
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2015 SIAM Conference on Computational Science and Engineering 83
Sunday, March 15
PP6CSE Methods4:30 PM-6:30 PMRoom:255
Reproducible Numerical Computing with HashDistAron Ahmadia, U.S. Army Engineer
Research and Development Center, USA; Ondrej Certik, University of Nevada, Reno, USA; Christopher Kees, U.S. Army Engineer Research and Development Center, USA; Dag Sverre Seljebotn, University of Oslo, Norway; Andy R. Terrel, Continuum Analytics, USA
A Scalable Fast Method for $N$-Body Problems Based on Exact Finite Element Basis Screen FunctionsNatalie N. Beams, Luke Olson, and Jonathan
B. Freund, University of Illinois at Urbana-Champaign, USA
Boltzmann Equation Solver Adapted to Emergent Chemical Non-EquilibriumJeremiah Birrell, University of Arizona,
USA; Jon Wilkening, Lawrence Berkeley National Laboratory and University of California Berkeley, USA; Cheng Tao Yang and Johann Rafelski, University of Arizona, USA
Boltzmann Collision Operator for Cylindrically Symmetric Velocity Distributions in PlasmasYanping Chen, Yannan Shen, John Zweck,
and Matthew Goeckner, University of Texas at Dallas, USA
Analysis of a Heterogeneous Multiscale Method for PoroelasticityPaul M. Delgado, Vinod Kumar, and Son
Young Yi, University of Texas at El Paso, USA
Cell List Algorithms for Nonequilibrium Molecular DynamicsMatthew Dobson, University of
Massachusetts, Amherst, USA
Convex-Hull Classification of Molecular Data on a ClusterSally R. Ellingson and Radha Nagarajan,
University of Kentucky, USA
Direct Evaluation of Unified Extended SplinesIan D. Henriksen, Brigham Young
University, USA
Distribution Functions of Water Saturation for the Stochastic Buckley-Leverett Problem Via the Streamline MethodFayadhoi Ibrahima, Stanford University,
USA; Daniel W. Meyer, Institute of Fluid Dynamics, Switzerland; Hamdi Tchelepi, Stanford University, USA
Hybridized Reduced Basis Method and Generalized Polynomial Chaos for Solving Partial Differential EquationsJiahua Jiang, University of Massachusetts,
Dartmouth, USA
Kriging and Spatial Design Accelerated by Orders of Magnitude: Combining Low-Rank Covariance Approximations with FFT-TechniquesAlexander Litvinenko, King Abdullah
University of Science & Technology (KAUST), Saudi Arabia; Wolfgang Nowak, University of Stuttgart, Germany
A Nonlinear Non-Gaussian Smoother for Continuous Stochastic Dynamical SystemsTapovan Lolla and Pierre Lermusiaux,
Massachusetts Institute of Technology, USA
Uncertainty Quantification in Incompressible Flow Using Sparse GridsFriedrich Menhorn and Tobias Neckel,
Technische Universität München, Germany
Matrix Splitting Techniques for Sampling a High-Dimensional GaussianRichard A. Norton and Colin Fox, University
of Otago, New Zealand
Time Series Estimation of a Stochastic Processes Coupled to Pdes for Multiscale ModelingCharlie Vollmer and Don Estep, Colorado
State University, USA; Anter A. El-Azab, Purdue University, USA
Fast Stochastic Simulation of Non-Gaussian Correlated Process VariationsTsui-Wei Weng, Zheng Zhang, and Luca
Daniel, Massachusetts Institute of Technology, USA
Uncertainty Quantification for Integrated Circuits and {MEMS}Zheng Zhang, Massachusetts Institute of
Technology, USA; Ibrahim Elfadel, Masdar Institute of Science and Engineering, United Arab Emirates; Luca Daniel, Massachusetts Institute of Technology, USA
Sunday, March 15
PP5Statistical Methods and Uncertainty Quantification4:30 PM-6:30 PMRoom:255
Adaptive Spectral Tensor-Train Decomposition for the Construction of Surrogate ModelsDaniele Bigoni and Allan Engsig-Karup,
Technical University of Denmark, Denmark; Youssef M. Marzouk, Massachusetts Institute of Technology, USA
A Posteriori Error Estimation for a Cut Cell Finite Volume Method in the Presence of UncertaintyJames B. Collins, West Texas A&M
University, USA; Simon Tavener and Don Estep, Colorado State University, USA
Probability Measures on Numerical Solutions of Odes for Uncertainty Quantification and InferencePatrick R. Conrad, Massachusetts Institute
of Technology, USA; Mark Girolami, University of Warwick, United Kingdom; Simo Sarkka, Aalto University, Finland; Andrew Stuart, University of Warwick, United Kingdom; Konstantinos Zygalakis, University of Southampton, United Kingdom
Adaptive Bayesian Selection, Calibration, and Validation of Coarse-Grained Models of Atomistic SystemsKathryn Farrell, J. Tinsley Oden, and Danial
Faghihi, University of Texas at Austin, USA
Emgr - Empirical Gramian FrameworkChristian Himpe, University of Münster,
Germany; Mario Ohlberger, University of Muenster, Germany
Kernel Density Estimation for Implicit Monte Carlo Radiation TransportAaron M. Holgado, Texas A&M University,
USA; Robert Holladay, Virginia Tech, USA; Allan Wollaber, Mathew Cleveland, and Todd Urbatsch, Los Alamos National Laboratory, USA; Ryan McClarren, Texas A&M University, USA
continued on next pagecontinued in next column
84 2015 SIAM Conference on Computational Science and Engineering
Sunday, March 15
PP7CSE Applications4:30 PM-6:30 PMRoom:255
Fields That Cause Elastic Breakdown in Inhomogeneous MediaNathan C. Briggs, Graeme Milton, Zoe Last
Koch, Andrew Boyles, Jonathan Boyle, Michael Primrose, and Michael Zhao, University of Utah, USA
Charge Transfer Processes at Semiconductor-Electrolyte Interfaces in Solar Cell ModelingMichael D. Harmon, Institute for
Computational Engineering and Sciences, USA
Student Chapter Develops Future ProfessionalsStacey Joseph-Ellison, Embry-Riddle
Aeronautical University, USA
Optimal Control of Miscible Displacement Equations Using Discontinuous Galerkin MethodsBrianna Lynn, Rice University, USA
Identifying and Tracking Multiple Underwater Acoustic Sources Using Characteristic SignaturesZoi-Heleni Michalopoulou, Jacob Moorman,
Jake Brusca, and Shan Fung, New Jersey Institute of Technology, USA
Elastic Deformation Due to Dislocations in a Transversely Isotropic Viscoelastic HalfspaceAmirhossein Molavi Tabrizi, Ernian Pan,
and Ali Sangghaleh, University of Akron, USA
Simulation and Modeling of Unmanned Systems for Humanitarian Applications in IndustryCourtney E. Thurston, Commonwealth
Connections Academy, USA
Universität Stuttgart, Germany; Benjamin Uekermann, Technische Universität München, Germany
Matched Asymptotic Analysis to Solve the Narrow Escape Problem in a Domain with a Long NeckXiaofei Li and Hyundae Lee, Inha
University, Korea
Computational Homogenization for the Modeling of Soft Matter MaterialsChristian Linder, Stanford University, USA
A Sparse Interpolation Algorithm for Dynamical Simulations in Computational ChemistryJames Nance, ELENA Jakubikova, and C.T.
Kelley, North Carolina State University, USA
P²NFFT - A Versatile Framework for Computing NFFT-based Fast Ewald SummationMichael Pippig and Franziska Nestler,
Chemnitz University of Technology, Germany
Sunday, March 15
PP6CSE Methods4:30 PM-6:30 PMcontinued
Spectral Noise Filtering for Fourier Transform ProfilometryThomas Höft, University of St. Thomas,
USA
Numerical Modeling of Wave Propagation in Poroelastic Media Using Optimal Staggered Implicit Finite DifferencesUrsula Iturraran-Viveros and Reymundo
Itza, Universidad Nacional Autonoma de Mexico, Mexico
Graph-Based Analysis of Three-Dimensional, Large Scale Phase-Field SimulationsMarcus Jainta, Karlsruhe Institute of
Technology, Germany; Daniel Stubenvoll, Johannes Hötzer, and Phillip Steinmetz, Karlsruhe University of Applied Sciences, Germany; Britta Nestler, Karlsruhe Institute of Technology, Germany
Uncertainty Quantification for the Estimation of the Diffusion Coefficient from Md SimulationsChangho Kim and George E. Karniadakis,
Brown University, USA
Adaptive Model Order Reduction in Forward and Inverse Multi-Frequency Problem for Maxwell’s EquationsMichal A. Kordy, Elena Cherkaev, and Phil
Wannamaker, University of Utah, USA
Sparse Spectral Tau-Method for Binary Neutron StarsStephen Lau, University of New Mexico,
USA
Time-Parallel Approaches for Complex Rotorcraft CalculationsJoshua I. Leffell, NASA Ames Research
Center, USA; Jay Sitaraman, University of Wyoming, USA; Andrew Wissink, NASA Ames Research Center, USA
Precice -- Flexible Parallel Multi-Physics CouplingFlorian Lindner and Miriam Mehl,
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2015 SIAM Conference on Computational Science and Engineering 85
Sunday, March 15
PP102Minisymposterium -- Clawpack Development, Extensions and Applications4:30 PM-6:30 PMRoom:255
Organizer: Randall LeVeque, University of Washington, USA
Tsunami Modeling In North Africa Using Geoclaw Software: a Tool for the Tsunami Scenario Database in the West MediterraneanLubna Amir, USTHB University, Algeria;
Walter Dudley, University of Hawaii at Hilo, USA; Jean Roger, G-Mer Etudes Marines, France
ForestClaw : Parallel, Adaptive, Multiblock Simulations for ClawpackDonna Calhoun, Boise State University,
USA
Adjoint Methods for Guiding Adaptive Mesh Refinement in Wave Propagation ProblemsBrisa Davis and Randall LeVeque,
University of Washington, USA
A Community-Driven Collection of Approximate Riemann Solvers for Hyperbolic ProblemsMauricio J. Del Razo, University of
Washington, USA; David I. Ketcheson, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Randall LeVeque, University of Washington, USA
High Resolution Tsunami Modeling at the Mediterranean Coast of Israel Towards An Early Warning Tsunami Scenarios Data BankBarak Galanti, Israel Oceanographic and
Limnological Research, Israel
PyClaw: Accurate, Scalable Solution of Hyperbolic PDEs in PythonDavid I. Ketcheson, King Abdullah
University of Science & Technology (KAUST), Saudi Arabia; Aron Ahmadia, U.S. Army Engineer Research and Development Center, USA; Kyle T. Mandli, Columbia University, USA
Sunday, March 15
PP101Minisymposterium -- BET: Open Source Software for Stochastic Inverse Problems in a Measure-Theoretic Context4:30 PM-6:30 PMRoom:255
Organizer: Lindley C. Graham, University of Texas at Austin, USA
Bet: Algorithmic and Error AnalysesTroy Butler, University of Colorado, Denver,
USA
BET: Applications for an Open Source Inverse Problems PackageLindley C. Graham and Steven Mattis,
University of Texas at Austin, USA; Troy Butler, University of Colorado, Denver, USA; Clint Dawson, University of Texas at Austin, USA
Bet: Modifications and Analysis for Model DiscrepanciesNishant Panda, Colorado State University,
USA
Sunday, March 15
PP8AWM Workshop 4:30 PM-6:30 PMRoom:255
AWM Workshop: Sampling and Reconstruction in Inite-Dimensional Reproducing Kernel SubspaceCheng Cheng, University of Central Florida,
USA
AWM Workshop: A Lattice of Poincare Duality Algebras with Acyclic Annihilators and Finite Dimension Associated to a ManifoldCameron Crowe, Stony Brook University,
USA
AWM Workshop: Residual Based Aposteriori Error Estimation in a Fully Automatic Hp –fem for the Stokes EquationsArezou Ghesmati, Markus Buerg, and
Wolfgang Bangerth, Texas A&M University, USA
AWM Workshop: Residual-Based A Posteriori Error Estimate for Interface Problems: Nonconforming Linear ElementsCuiyu He and Zhiqiang Cai, Purdue
University, USA; Shun Zhang, City University of Hong Kong, Hong Kong
AWM Workshop: Enhancements for Reduced Basis Methods: Reducing Offline Computational CostsJiahua Jiang, University of Massachusetts,
Dartmouth, USA
AWM Workshop: Combinatorial Navier-Stokes EquationAradhana Kumari, City University of New
York, USA
AWM Workshop: An Adaptive Gmsfem for High-Contrast Flow ProblemsGuanglian Li, Texas A&M University, USA
AWM Workshop: Propagation Failure in Discrete Inhomogeneous Media Using a Caricature of the CubicElizabeth Lydon, University of Central
Florida, USA
AWM Workshop: Nontrivial Structure in Top Homology of a SpaceChandrika Sadanand, Stony Brook
University, USA
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86 2015 SIAM Conference on Computational Science and Engineering
Sparse Direct Solvers on Distributed CPU-GPU Machines (unconfirmed)Pieter Ghysels, Xiaoye Sherry Li, and
Francois-Henry Rouet, Lawrence Berkeley National Laboratory, USA; Piyush Sao and Richard Vuduc, Georgia Institute of Technology, USA
Dynamic Partitioning Using Mesh AdjacenciesCameron Smith, Dan A. Ibanez, and Gerrett
Diamond, Rensselaer Polytechnic Institute, USA
Fastmath Structured Mesh and Particle TechnologiesAnshu Dubey, Phillip Colella, Mark Adams,
Ann S. Almgren, Dan Graves, Terry J. Ligocki, and Brian Van Straalen, Lawrence Berkeley National Laboratory, USA; Milo Dorr, Lawrence Livermore National Laboratory, USA
Sundials: Suite of Nonlinear and Differential/algebraic SolversDaniel R. Reynolds, Southern Methodist
University, USA; Carol S. Woodward, Lawrence Livermore National Laboratory, USA
Hypre: High Performance PreconditionersRobert Falgout, Tzanio V. Kolev, Jacob B.
Schroder, and Ulrike M. Yang, Lawrence Livermore National Laboratory, USA
Sunday, March 15
PP103Minisymposterium -- Frameworks, Algorithms, and Scalable Technologies for Mathematics (FASTMath)4:30 PM-6:30 PMRoom:255
Organizer: Lori A. Diachin, Lawrence Livermore National Laboratory, USA
An Overview of PETScSatish Balay, Argonne National Laboratory,
USA; Jed Brown, Argonne National Laboratory, USA and University of Colorado Boulder, USA; William D. Gropp, University of Illinois at Urbana-Champaign, USA; Matthew Knepley, University of Chicago, USA; Lois Curfman McInnes, Barry F. Smith, and Hong Zhang, Argonne National Laboratory, USA
Construction of Parallel Adaptive Simulation LoopsBrian Granzow, Rensselaer Polytechnic
Institute, USA
MueLu: Multigrid Framework for Advanced ArchitecturesJonathan J. Hu and Andrey Prokopenko,
Sandia National Laboratories, USA
Parallel Unstructured Mesh InfrastructureDan A. Ibanez, E. Seegyoung Seol, and
Gerrett Diamond, Rensselaer Polytechnic Institute, USA
Massively Parallel Adaptive Simulations Using Petsc for Turbulent Boundary Layer FlowsMichel Rasquin, University of Colorado
Boulder, USA; Dan A. Ibanez, Rensselaer Polytechnic Institute, USA; Benjamin Matthews, University of Colorado Boulder, USA; Cameron Smith, Onkar Sahni, and Mark S. Shephard, Rensselaer Polytechnic Institute, USA; Kenneth Jansen, University of Colorado Boulder, USA
Sunday, March 15
PP102Minisymposterium -- Clawpack Development, Extensions and Applications4:30 PM-6:30 PMcontinued
Practical Applications of GeoClaw to Tsunami Hazard AssessmentRandall LeVeque, Loyce Adams, and Frank
I. Gonzalez, University of Washington, USA
CUDACLAW: A GPU Framework for the Solution of Hyperbolic PdesGeorge M. Turkiyyah, American University
of Beirut, Lebanon; H. Gorune Ohannessian, University of Wisconsin, USA; Aron Ahmadia, U.S. Army Engineer Research and Development Center, USA; David I. Ketcheson, King Abdullah University of Science & Technology (KAUST), Saudi Arabia
continued in next column
2015 SIAM Conference on Computational Science and Engineering 87
A High Order, Implicit, Hybrid Solver for Linear Kinetic EquationsMichael Crockat, Michigan State University,
USA; Charles K. Garrett and Cory Hauck, Oak Ridge National Laboratory, USA
A High Order Time Splitting Method Based on Integral Deferred Correction for Semi-Lagrangian Vlasov SimulationsWei Guo, Michigan State University, USA
Analysis of Discontinuous Galerkin Algorithms for Diffusion and for Energy-Conserving Hamiltonian DynamicsGreg Hammett, Princeton University, USA;
Ammar Hakim, Princeton Plasma Physics Laboratory, USA; Eric Shi, Ian Abel, and Tim Stoltzfus-Dueck, Princeton University, USA
Massively Parallel Calculations of Neutronics Experiments Using PdtMarvin L. Adams, Aaron Holzaepfel, W.
Daryl Hawkins, Michael Adams, Anthony Barbu, and Timmie Smith, Texas A&M University, USA
Numerical Solution of the Boltzmann Equation Using Quadrature-Based Projection MethodsJulian Koellermeier and Manuel Torrilhon,
RWTH Aachen University, Germany
Positive Filtered PN Closures for Linear Kinetic Transport Equations, with some Convergence ResultsMing Tse P. Laiu, University of Maryland,
College Park, USA; Cory Hauck, Oak Ridge National Laboratory, USA; Dianne P. O’Leary and André Tits, University of Maryland, College Park, USA
Implicit, Filtered Pn Methods for Radiation TransportRyan G. McClarren and Vincent Laboure,
Texas A&M University, USA; Cory Hauck, Oak Ridge National Laboratory, USA
Massively Parallel Nuclear Reactor Analysis Using PdtMarvin L. Adams, Carolyn McGraw, W.
Daryl Hawkins, Michael Adams, and Timmie Smith, Texas A&M University, USA
High Order Asymptotic Preserving Nodal Discontinuous Galerkin Imex Schemes for the Bgk EquationJingmei Qiu, University of Houston, USA;
Juhi Jang, University of California, Riverside, USA; Fengyan Li, Rensselaer Polytechnic Institute, USA; Tao Xiong, University of Houston, USA
Sunday, March 15
PP105Minisymposterium -- Numerical Methods for Kinetic Equations and Related Models4:30 PM-6:30 PMRoom:255
Organizer: Martin Frank, RWTH - Aachen University of Technology, Germany
Realizability Limiting in High-Order Numerical Solutions of Entropy-Based Moment ClosuresGraham Alldredge, RWTH Aachen
University, Germany; Florian Schneider, Technische Universität Kaiserslautern, Germany
Exploration and Validation of Full-Domain Massively Parallel Transport Sweep AlgorithmsTeresa S. Bailey, Peter Brown, and Adam
Kunen, Lawrence Livermore National Laboratory, USA
A New Moment Method in the Kinetic Theory of Gases Based on the L2 Function SpaceZhenning Cai and Manuel Torrilhon, RWTH
Aachen University, Germany
Markov Chain Formalism for Radiative Transfer in Planetary Atmospheres: Forward Modeling, Including LinearizationAnthony B. Davis, Feng Xu, Robert West,
and David Diner, California Institute of Technology, USA
On the Hyperbolicity of Grad’s 13 Moment SystemYuwei Fan, Peking University, China;
Zhenning Cai, RWTH Aachen University, Germany; Ruo Li, Peking University, China
Convergence of Filtered Spherical Harmonic Equations for Radiation TransportMartin Frank, RWTH - Aachen University
of Technology, Germany; Cory Hauck, Oak Ridge National Laboratory, USA; Kerstin Kuepper, RWTH - Aachen University of Technology, Germany
Sunday, March 15
PP104Minisymposterium -- Integrated Mathematics for Mesoscopic Modeling of Materials4:30 PM-6:30 PMRoom:255
Organizers:
George E. Karniadakis, Brown University, USA
Nathan Baker, Pacific Northwest National Laboratory, USA
Stochastic Methods in Mesoscopic Materials ModelingPaul J. Atzberger, University of California,
Santa Barbara, USA
Concurrent Coupling Methods in Mesoscopic Materials ModelingXin Bian, Brown University, USA
Overview of Mathematics for Mesoscopic Modeling of MaterialsGeorge E. Karniadakis, Brown University,
USA
Hierarchical Coarse-graining and Parallelization Methods for Mesoscale material ModelsMarkos A. Katsoulakis, University of
Massachusetts, Amherst, USA
Particle-Based Methods in Mesoscopic Materials ModelingZhen Li, Brown University, USA
Grid-Based Methods in Mesoscopic Materials ModelingMartin Maxey, Brown University, USA
Applications in Mesoscopic Modeling of MaterialsWenxiao Pan, Pacific Northwest National
Laboratory, USA; Mauro Perego, Sandia National Laboratories, USA
Coarse-Graining in Mesoscopic Materials ModelingPanos Stinis, University of Minnesota, USA
Ultra Coarse-Graining in Mesoscopic Materials ModelingGregory Voth, James Dama, and John Grime,
University of Chicago, USA
Fast Solvers for Mesoscopic Materials ModelingJinchao Xu and Chun Liu, Pennsylvania
State University, USA; Xiaozhe Hu, Tufts University, USA; Maximilian S. Metti, Pennsylvania State University, USA
continued in next column continued on next page
88 2015 SIAM Conference on Computational Science and Engineering
Assembly Algorithms for Pdes with Uncertain Input Data on Emerging Multicore ArchitecturesEric Phipps and H. Carter Edwards, Sandia
National Laboratories, USA
Using Multicore Parallelism for Common Finite Element OperationsBruno Turcksin, Texas A&M University,
USA; Martin Kronbichler, Technische Universität München, Germany; Wolfgang Bangerth, Texas A&M University, USA
Sunday, March 15
PP106Minisymposterium -- Scalable Finite Element Assembly4:30 PM-6:30 PMRoom:255
Organizers: Irina Demeshko, Sandia National Laboratories, USA
Eric C. Cyr, Sandia National Laboratories, USA
The scalability of PDE codes typically focuses on solving large sparse linear system of equations resulting from a FEM discretization. Finite element assembly is often dismissed as inconsequential compared to the expense of linear solves. However, due to the increased parallelism available on next-generation architectures the scalability of the assembly can became a bottleneck to achieving performance. The aim of this minisymposterium is provide a forum to discuss ideas for developing a portable scalable finite element assembly on modern and next-generation architectures.
Architecture Portable Assembly for Maxwell’s EquationsEric C. Cyr, Irina Demeshko, Roger
Pawlowski, and Matthew Bettencourt, Sandia National Laboratories, USA
Towards Exascale Implementation of the Finite Element Based Application Development EnvironmentIrina Demeshko, H. Carter Edwards, Michael
Heroux, ROGER P. Pawkowski, Eric Phipps, and Andrew Salinger, Sandia National Laboratories, USA
Multicore Finite Element Assembly Via ScansRobert C. Kirby, Baylor University, USA
Operator Transformation and Code Generation for Scientific ComputingAndreas Kloeckner, University of Illinois,
USA
OCCA: A Unified Approach to Multi-Threading LanguagesDavid Medina and Tim Warburton, Rice
University, USA; Amik St-Cyr, Shell International Exploration & Production B.V., Netherlands
Sunday, March 15
PP105Minisymposterium -- Numerical Methods for Kinetic Equations and Related Models4:30 PM-6:30 PMcontinued
Towards Hyperbolic Moment Approximations of Multicomponent PlasmasRoman P. Schärer and Manuel Torrilhon,
RWTH Aachen University, Germany
Ifp: An Optimal, Fully Conservative, Fully Implicit, Vlasov-Fokker-Planck Solver: PosterWilliam T. Taitano, Los Alamos National
Laboratory, USA
Residual Monte Carlo Methods Within the Moment-Based Acceleration FrameworkJeffrey A. Willert, Los Alamos National
Laboratory, USA
Asymptotic Preserving Discontinuous Galerkin Method for the Radiative Transfer EquationYulong Xing, University of Tennessee
and Oak Ridge National Laboratory, USA; Cory Hauck, Oak Ridge National Laboratory, USA
continued in next column
2015 SIAM Conference on Computational Science and Engineering 89
Monday, March 16
MS130Cut Cells: Algorithms and Applications - Part I of II9:10 AM-10:50 AMRoom:355 A
For Part 2 see MS157 Cut cell methods solve PDEs in complex geometry using a regular Cartesian grid with special treatment for cells that intersect the boundary. These methods are attractive because they easily represent complex and moving geometries. Cut cell methods have been used with finite difference, volume and element discretizations, across a wide range of problems, including aerodynamics, meteorology, oceanography, and others. Challenges include gaps in theoretical underpinnings; issues due to arbitrarily small cells; and the programming complexity that arises with cell merging and other stabilization techniques. This minisymposium will highlight recent algorithmic advances, and include a variety of science domain applications.
Organizer: Hans JohansenLawrence Berkeley National Laboratory, USA
Organizer: Marsha BergerCourant Institute of Mathematical Sciences, New York University, USA
9:10-9:30 Weno Finite Volume Methods for Embedded Boundary GridsChristiane Helzel, Ruhr-Universität Bochum,
Germany
9:35-9:55 High-Order Quadrature on Implicitly Defined Domains with Application to a High-Order Embedded Boundary Discontinuous Galerkin Method for Evolving Interface ProblemsRobert Saye, Lawrence Berkeley National
Laboratory, USA
10:00-10:20 Terrain Following Versus Cut-CellsHilary Weller and James Shaw, University of
Reading, United Kingdom
10:25-10:45 Diffusion MRI on a Cartesian Grid with Immersed InterfacesKhieu Van Nguyen, CEA Saclay, France;
Jing-Rebecca Li, INRIA Saclay and CMAP Ecole Polytechnique, France; Luisa Ciobanu, CEA Saclay, France
Monday, March 16
MS129DAG-Based Efficient Scalable and Portable PDE Software9:10 AM-10:50 AMRoom:355
Directed acyclic graph (DAG) based approaches can be an effective way to manage complexity in large scale pde computations. Several different examples as well as an overview of existing approaches will be given. The examples shown will demonstrate the versatility of the approach and give some indications of its promise for present and future large scale computations arising from challenging multi-scale and multi-physics partial differential equations simulations on both multi-core and heterogeneous architectures.
Organizer: Martin BerzinsUniversity of Utah, USA
9:10-9:30 Using Multiple Dags to Ensure Portability and Scalability in Large Scale Computations Using UintahJohn A. Schmidt, University of Utah, USA
9:35-9:55 A Comparative Analysis of of Asynchronous Many Task Programming Models for Next Generation PlatformsJanine C. Bennett, H. Kolla, Jeremiah Wilke,
Keita Teranishi, Nicole Slattengren, Greg Sjaardema, and Samuel Knight, Sandia National Laboratories, USA
10:00-10:20 Structured Dagger: Supporting Asynchrony with ClarityJonathan Lifflander, University of Illinois,
USA
10:25-10:45 A DAG Approach to Tame Complexity in Multiphysics Software on Heterogeneous ArchitecturesJames C. Sutherland and Abhishek
Bagusetty, University of Utah, USA
Monday, March 16
Registration7:30 AM-5:00 PMRoom:East Foyer
Announcements8:10 AM-8:15 AMRoom:355
IP5Statistical and Computational Challenges of Constraining Greenhouse Gas Budgets8:15 AM-9:00 AMRoom:355
Chair: Linda R. Petzold, University of California, Santa Barbara, USA
Predicting future changes to the global carbon cycle (and therefore climate) and quantifying anthropogenic emissions of greenhouse gases (GHGs) both require an understanding of net GHGs emissions and uptake across a variety of spatial and temporal scales. This talk will explore some of the core scientific questions related to understanding GHG budgets through the lens of the statistical and computational challenges that arise. The focus will be on the use of atmospheric observations, and applications will include the natural and anthropogenic components of the methane and carbon dioxide budgets. The discussion will include issues related to the solution of spatiotemporal inverse problems, uncertainty quantification, data fusion, gap filling, and issues of “big data” arising from the use of satellite observations.
Anna MichalakCarnegie Institution for Science and Stanford University, USA
Intermission9:00 AM-9:10 AM
90 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
MS133High-dimensional Approximation and Integration: Analysis and Computation - Part III of V9:10 AM-10:50 AMRoom:250 B
For Part 2 see MS106 For Part 4 see MS159 This minisymposium focuses on the fundamental problem of how to accurately approximate solutions of both forward and inverse high-dimensional functions. Predicting the behavior of complex phenomena relies on constructing solutions in terms of high dimensional spaces, particularly in the case when the input data (coefficients, forcing terms, initial and boundary conditions, geometry) are affected by large amounts of uncertainty. The resulting explosion in computational effort is a symptom of the curse of dimensionality and this symposium aims at exploring breakthroughs in sparse sampling and representations, nonlinear and greedy approximations, compressed sensing, multilevel methods, and ”best-N-term” approximations.
Organizer: Clayton G. WebsterOak Ridge National Laboratory, USA
Organizer: Guannan ZhangOak Ridge National Laboratory, USA
Organizer: Max GunzburgerFlorida State University, USA
Organizer: Albert CohenUniversité Pierre et Marie Curie, France
9:10-9:30 Multilevel Simulation of Mean Exit TimesMichael B. Giles, University of Oxford,
United Kingdom; Francisco Bernal, Instituto Superior Tecnico, Portugal
9:35-9:55 A Multilevel Stochastic Collocation Method for Pdes with Random InputsAretha Teckentrup, University of Bath, United
Kingdom; Peter Jantsch, University of Tennessee, USA; Max Gunzburger, Florida State University, USA; Clayton G. Webster, Oak Ridge National Laboratory, USA
Monday, March 16
MS132Recent Advances in Bayesian Methods for Computational Science and Engineering - Part I of II9:10 AM-10:50 AMRoom:250 A
For Part 2 see MS158 This minisymposium highlights the most recent impact of Bayesian inference for uncertainty quantification, statistical modeling, experimental design, and optimization. We discuss novel approximation techniques bringing with them a myriad of new potential applications from medicine to engineering, finance, and biology. The minisymposium brings together researchers from diverse application domains to introduce and transfer recent contributions, as well as to discuss open challenges due to increasing demand for efficient techniques.
Organizer: AlbertoGiovanni BusettoUniversity of California, Santa Barbara, USA
Organizer: James BeckCalifornia Institute of Technology, USA
9:10-9:30 Bayesian Updating for Dynamic Systems Using Subset Simulation (Beck) and Active Model Selection (Busetto)AlbertoGiovanni Busetto, University of
California, Santa Barbara, USA; James Beck, California Institute of Technology, USA
9:35-9:55 Bayesian Inference of Chemical Kinetic Models from Proposed ReactionsNikhil Galagali and Youssef M. Marzouk,
Massachusetts Institute of Technology, USA
10:00-10:20 Advanced Bayesian Computation for Challenging Problems in the Sciences and EngineeringMark Girolami, University of Warwick,
United Kingdom
10:25-10:45 Topological Sensitivity Analysis in Systems BiologyAnn C. Babtie, Paul Kirk, and Michael
Stumpf, Imperial College London, United Kingdom
Monday, March 16
MS131Report on the Future of CSE Education and Research9:10 AM-10:50 AMRoom:355 D
This session will present and discuss a draft white paper on “Future Directions in CSE Education and Research” which was composed in 2014 by a subset of the CSE community under the guidance of the Officers of the SIAM Activity Group on CSE. A major goal of this session is to solicit feedback on this document from the broad CSE community. The new document follows in the footsteps of the 2001 report on “Graduate Education in CSE” (Petzold et al.). The white paper describes and investigates the rapid expansion of CSE since the beginning of the 21st century and the challenges the CSE field is encountering in the context of recent disruptive developments that include extreme-scale computing, data-driven discovery, and a comprehensive broadening of the application fields of CSE. There will be extensive opportunity for feedback and discussion, and these challenges and opportunities will also be discussed further in today’s lunchtime Forward Looking Panel.
Organizer: Hans De SterckUniversity of Waterloo, Canada
Organizer: Ulrich J. RuedeUniversity of Erlangen-Nuremberg, Germany
Organizer: Lois Curfman McInnesArgonne National Laboratory, USA
Organizer: Karen E. WillcoxMassachusetts Institute of Technology, USA
9:10-9:30 The Future of CSE ResearchUlrich J. Ruede, University of Erlangen-
Nuremberg, Germany; Lois Curfman McInnes, Argonne National Laboratory, USA
continued on next page
2015 SIAM Conference on Computational Science and Engineering 91
Monday, March 16
MS135Model Error Assessment in Computational Physical Models - Part I of II9:10 AM-10:50 AMRoom:250 D
For Part 2 see MS161 While parametric uncertainty quantification is performed routinely in computational science and engineering, model error assessment is still largely lacking and faces significant challenges that are yet to be resolved. For example, it is unclear how to properly disambiguate data noise from model errors. Recently there has been growing interest and some development towards the quantification of model errors, i.e. the inherent discrepancies from the truth that cannot be reduced within the model assumptions. This minisymposium focuses on state-of-the-art and novel methods for quantification of model errors. It highlights challenges and introduces a range of available methods to the computational science community, hoping to contribute significantly to improving predictive fidelity of computational physical models across a range of disciplines.
Organizer: Khachik SargsyanSandia National Laboratories, USA
Organizer: Habib N. NajmSandia National Laboratories, USA
9:10-9:30 Accounting for Model Error in the Calibration of Physical ModelsHabib N. Najm and Khachik Sargsyan,
Sandia National Laboratories, USA; Roger Ghanem, University of Southern California, USA
9:35-9:55 Predictive Rans Simulations Via Bayesian Model-Scenario AveragingRichard Dwight, Delft University of
Technology, Netherlands; Wouter Edeling, TU Delft, Netherlands; Paola Cinnella, ENSAM, ParisTech, France
Monday, March 16
MS134Resilience in Numerical Simulations and Algorithms at Extreme Scale: Part III of IV - Sparse Matrix Methods9:10 AM-10:50 AMRoom:250 C
For Part 2 see MS107 For Part 4 see MS160 The advent of extreme scale machines will require the use of parallel resources at an unprecedented scale, probably leading to a high rate of hardware faults. Handling fully these faults at the computer system level may have a prohibitive cost. High performance computing applications that aim at exploiting all these resources will thus need to be resilient, in this minisympoisum different complementary approaches and methods will be presented to possibly address this key aspect of extreme scale computing.
Organizer: Keita TeranishiSandia National Laboratories, USA
Organizer: Luc GiraudINRIA, France
Organizer: Michael HerouxSandia National Laboratories, USA
Organizer: Emmanuel AgulloINRIA, France
9:10-9:30 Inherent Error Resilience of a Complex Moment-Based EigensolverAkira Imakura, Yasunori Futamura, and
Tetsuya Sakurai, University of Tsukuba, Japan
9:35-9:55 On the Reliability of Soft Error Detection in CGPOPAgullo Emmanuel, Luc Giraud, and
Emrullah Fatih Yetkin, INRIA, France
10:00-10:20 Analysis of Krylov Solver Resilience in the Presence of Soft-FaultsMiroslav Stoyanov and Clayton G. Webster,
Oak Ridge National Laboratory, USA
10:25-10:45 The Cost of Reliability: Iterative Linear Solvers and Reactive Fault ToleranceJames Elliott, North Carolina State
University, USA; Mark Hoemmen, Sandia National Laboratories, USA; Frank Mueller, North Carolina State University, USA
10:00-10:20 Estimating the N-Width of Solution Manifolds of Parametric PdesAlbert Cohen, Université Pierre et Marie
Curie, France
10:25-10:45 Hierarchical Acceleration of Stochastic Collocation Methods for PDEs with Random Input DataGuannan Zhang and Clayton G. Webster,
Oak Ridge National Laboratory, USA
continued on next page
92 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
MS137Advanced Finite Element Methods for Nonlinear Materials and Fluids - Part III of III9:10 AM-10:50 AMRoom:250 F
For Part 2 see MS110 Numerical modeling of materials and fluids with nonlinear behavior plays an increasing role in computational science and engineering, particularly in the high-fidelity simulation of elastic and plastic deformations, magneto-sensitive materials, liquid crystals, biological tissues and blood flow, among others. Despite a long history of efforts, there is still a need for the development of advanced finite-element methods with specific properties such as accurate representation of stresses, forces, and other quantities depending on the application. In many of these applications, mesh-adaptive implementations and efficient solvers are an important issue due to the size and complexity of the problems.
Organizer: James H. AdlerTufts University, USA
Organizer: Gerhard StarkeUniversity of Duisburg-Essen, Germany
Organizer: Thomas ManteuffelUniversity of Colorado Boulder, USA
9:10-9:30 Nested Iteration and First-Order System Least Squares for Preconditioning a Two-Fluid Electromagnetic Plasma ModelChris Leibs and Thomas Manteuffel,
University of Colorado Boulder, USA
9:35-9:55 An Energy-Minimization Finite-Element Approach for the Frank-Oseen Model of Nematic Liquid CrystalsDavid B. Emerson, James H. Adler, Scott
Maclachlan, and Timothy Atherton, Tufts University, USA
Monday, March 16
MS136Advances in Time-stepping Methods - Part I of V9:10 AM-10:50 AMRoom:250 E
For Part 2 see MS162 Time-stepping methods are numerical methods for the time evolution of ODEs, DAEs, and PDEs in the method-of-lines framework. Many applications require specialized time-stepping methods in order to enhance efficiency or capture particular theoretical properties such as positivity, symplecticity, and strong-stability-preservation or practical properties such as parallelization on emerging high-performance architectures, component (e.g., multirate or local time-stepping) and physics (IMEX or semi-implicit) splittings based on sub-system properties, and reliable error estimation and control. The talks in this minisymposium will describe recent novel developments in time-stepping methods and demonstrate their benefits in practical applications.
Organizer: Emil M. ConstantinescuArgonne National Laboratory, USA
Organizer: Michael GuentherBergische Universität, Germany
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Raymond J. SpiteriUniversity of Saskatchewan, Canada
9:10-9:30 Generalized Structure Additive Runge-Kutta MethodsAdrian Sandu, Virginia Tech, USA; Michael
Guenther, Bergische Universität, Germany
9:35-9:55 Resolvent Expansions for Higher-order Simulations of PDEsAndrew J. Christlieb, Michigan State
University, USA; Matthew Causley, Kettering University, USA; Hana Cho, Michigan State University, USA
10:00-10:20 K-Methods, An Extension of Exponential and Rosenbrock Time IntegratorsPaul Tranquilli, Adrian Sandu, and Ross
Glandon, Virginia Tech, USA
10:25-10:45 Efficient Exponential Integrators: Construction, Analysis and ImplementationMayya Tokman, University of California,
Merced, USA
Monday, March 16
MS135Model Error Assessment in Computational Physical Models - Part I of II9:10 AM-10:50 AMcontinued
10:00-10:20 Model Calibration and Error Propagation for Large-Eddy Simulation of Turbulent FlowsMyra Blaylock, Cosmin Safta, Stefan P.
Domino, John C. Hewson, and Jeremy Templeton, Sandia National Laboratories, USA
10:25-10:45 Bayesian Model Calibration Techniques That Incorporate Mixed Effects and Model DiscrepancyBrian Williams, Los Alamos National
Laboratory, USA; Kathleen Schmidt and Ralph C. Smith, North Carolina State University, USA
continued on next page
2015 SIAM Conference on Computational Science and Engineering 93
Monday, March 16
MS139Inverse Analysis and Uncertainty Quantification in Fluid Mechanics - Part I of II9:10 AM-10:50 AMRoom:251 B
For Part 2 see MS165 Advances in computing resources and algorithms have enabled simulations of engineered systems of unprecedented complexity. Increasingly, these simulations are being used to inform important design and operational decisions. In this context, providing defensible uncertainty estimates for computed quantities of interest is critical. The aim of this minisymposium is to bring together researchers developing approaches for quantifying uncertainties, including those due to uncertain parameters, inadequate physical models, and uncertain or sparse experimental data, in fluid mechanics applications. There is broad interest in both statistical approaches and fluids mechanics applications for participation in this minisymposium.
Organizer: Paul BaumanState University of New York, Buffalo, USA
Organizer: Todd OliverUniversity of Texas at Austin, USA
Organizer: David SalacUniversity of Buffalo, SUNY, USA
Organizer: Abani K. PatraState University of New York, Buffalo, USA
9:10-9:30 Comparison of Laminar Flame Models in the Presence of UncertaintyPaul Bauman, State University of New York,
Buffalo, USA
9:35-9:55 Towards Experimental Design Strategies for Inadequate ModelsGabriel Terejanu and Xiao Lin, University
of South Carolina, USA
10:00-10:20 Liposome Vesicles in the Presence of UncertaintyDavid Salac, University of Buffalo, SUNY,
USA
10:25-10:45 Robust Optimization for Decision Making under UncertaintyFlorian Augustin, and Youssef M. Marzouk,
Massachusetts Institute of Technology, USA
Monday, March 16
MS138UQ in Large Scale Computing - Part I of II9:10 AM-10:50 AMRoom:251 A
For Part 2 see MS164 The move towards ever-larger scale computing is bringing both challenges and opportunities to the field of uncertainty quantification. On the one hand, the increase in computing power helps to offset the cost of UQ, even for complex applications. On the other hand, communication bottlenecks, increased frequencies of soft and hard faults, and limits on memory create computational challenges for UQ algorithms. Furthermore, the relative sparsity of validation data for high-dimensional, complex applications puts strenuous demands on UQ to assess the predictive fidelity of the simulations. This minisymposium brings together talks that address these challenges.
Organizer: Bert J. DebusschereSandia National Laboratories, USA
Organizer: Eric PhippsSandia National Laboratories, USA
9:10-9:30 Parametric Uncertainty Propagation in Resilient Domain Decomposition MethodsPaul Mycek, Duke University, USA; Olivier
P. Le Maitre, LIMSI-CNRS, France; Francesco Rizzi, Khachik Sargsyan, Karla Morris, and Bert J. Debusschere, Sandia National Laboratories, USA; Omar M. Knio, Duke University, USA
9:35-9:55 Exploring Embedded Uncertainty Quantification Methods on Next-Generation Computer ArchitecturesEric Phipps, H. Carter Edwards, and Jonathan
J. Hu, Sandia National Laboratories, USA
10:00-10:20 Hierarchically Accelerated Stochastic Collocation for Random PDEsPeter Jantsch, University of Tennessee,
USA; Diego Galindo, Clayton G. Webster, and Guannan Zhang, Oak Ridge National Laboratory, USA
10:25-10:45 A Multilevel Solution Strategy for the Stochastic Galerkin Method for PDEs with Random CoefficientsSarah Osborn and Victoria Howle, Texas
Tech University, USA; Jonathan J. Hu and Eric Phipps, Sandia National Laboratories, USA
10:00-10:20 Energy Laws and First-Order System Least Squares for MHD systemsIlya Lashuk, Georgia Institute of Technology,
USA; James H. Adler and Scott Maclachlan, Tufts University, USA; Ludmil Zikatanov, Pennsylvania State University, USA
10:25-10:45 Quantity-of-Interest Based Least-Squares Finite Element MethodsJehanzeb H. Chaudhry, Florida State
University, USA; Thomas Manteuffel, University of Colorado Boulder, USA; Luke Olson, University of Illinois at Urbana-Champaign, USA; Eric C. Cyr, Sandia National Laboratories, USA; Kuo Liu and Lei Tang, University of Colorado Boulder, USA
94 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
MS142Anderson Acceleration and Applications9:10 AM-10:50 AMRoom:251 E
Anderson acceleration is an algorithm for accelerating the convergence of fixed point or Picard iteration. The method was invented in 1965 to accelerate the SCF iteration in electronic structure computations and is now widely used in that field. Anderson acceleration does not require the computation or approximation of Jacobians or Jacobian-vector products, and this can be an advantage over Newton-like methods. In this minisymposium the speakers will discuss new convergence results, open questions, and applications including multi-physics coupling and radiative transport.
Organizer: C.T. KelleyNorth Carolina State University, USA
9:10-9:30 Anderson Acceleration: Convergence Theory and Numerical ExperienceC.T. Kelley and Alex Toth, North Carolina
State University, USA
9:35-9:55 Anderson Acceleration for Parallel ApplicationsJohn Loffeld and Carol S. Woodward,
Lawrence Livermore National Laboratory, USA
10:00-10:20 On the Performance of Anderson Acceleration for Multiphysics ProblemsRoger Pawlowski, Sandia National
Laboratories, USA; Steven Hamilton and Mark Berrill, Oak Ridge National Laboratory, USA; Alexander R. Toth and C.T. Kelley, North Carolina State University, USA; Andrew Salinger, Sandia National Laboratories, USA
10:25-10:45 Accelerating the EM Algorithm for Mixture-density EstimationJoshua H. Plasse and Homer F. Walker,
Worcester Polytechnic Institute, USA
Monday, March 16
MS141Reducing Communication in Sparse Linear Solvers9:10 AM-10:50 AMRoom:251 D
As communication becomes relatively more expensive to computation on modern and future architectures, there has been much recent interest in reducing communication in linear algebra. For sparse solvers, communication-avoiding methods based on s-step iterative methods have shown great promise, but have not yet been widely adopted in practice. Hierarchical or nested solvers is another way to reduce communication and synchronization. We present recent work in these areas, with focus on preconditioned Krylov subspace solvers. Such solvers play a crucial role in CS&E.
Organizer: Erik G. BomanSandia National Laboratories, USA
9:10-9:30 Enlarged Krylov Subspace Methods for Reducing CommunicationLaura Grigori and Sophie Moufawad,
INRIA, France; Frederic Nataf, Laboratoire Jacques-Louis Lions, France
9:35-9:55 Preconditioning Communication-Avoiding Krylov MethodsSiva Rajamanickam, Sandia National
Laboratories, USA
10:00-10:20 Efficient Deflated-Based Preconditioning for the Communication-Avoiding Conjugate Gradient MethodErin C. Carson, Nicholas Knight, and James
W. Demmel, University of California, Berkeley, USA
10:25-10:45 Hierarchical and Nested Krylov Methods for Extreme-Scale ComputingHong Zhang and Lois Curfman McInnes,
Argonne National Laboratory, USA
Monday, March 16
MS140Modern Computational Modeling in Fluids
9:10 AM-10:50 AMRoom:251 C
Part of the SIAM Workshop Celebrating Diversity
Recent advances in computational modeling in fluids have given researchers the ability to address complex hydrodynamic phenomena observed in experiments that arise in both physical fluids problems as well as more modern biological fluid applications. In this minisymposium a survey of new modeling and computational approaches, inspired by experiment, will be presented to a diverse set of challenging problems in these areas. These problems include modern computational fluid approaches to more classic problems such as surfactant spreading and vortex merger as well as important biological problems such as sperm motility and thrombus formation.
Organizer: David T. UminskyUniversity of San Francisco, USA
Organizer: Raegan HigginsTexas Tech University, USA
Organizer: Susan E. MinkoffUniversity of Texas at Dallas, USA
Organizer: Stephen WirkusArizona State University, USA
9:10-9:30 A Computational Model of Sperm Motility Through Viscoelastic NetworksJacek Wrobel, Ricardo Cortez, and Lisa J.
Fauci, Tulane University, USA
9:35-9:55 Mathematical Modeling of Blood Clot Formation Under FlowKarin Leiderman, University of California,
Merced, USA
10:00-10:20 Experiment-Driven Surfactant Spreading ModelsRachel Levy, Harvey Mudd College, USA
10:25-10:45 A Multi-Moment Approach to Modeling the Onset of Vortex MergerDavid T. Uminsky, University of San
Francisco, USA
2015 SIAM Conference on Computational Science and Engineering 95
Monday, March 16
MS144Computational Methods and Uncertainty Quantification for Inverse Problems - Part I of II9:10 AM-10:50 AMRoom:254 A
For Part 2 see MS170 Inverse problems require estimating parameters in a mathematical model from indirect observations. The number of unknown parameters is typically large, and obtaining a meaningful estimate is often impossible without special techniques such as regularization. Moreover, even with regularization, the resulting computational problems are often very challenging. A separate issue is that the measurements are stochastic, prior information contains uncertainty, and hence the solutions of inverse problems contain uncertainty. In some inverse problems applications, quantifying uncertainty in solutions is essential. The talks in this minisymposium will focus on computational methods both for solving inverse problems and for quantifying uncertainty in solutions.
Organizer: Johnathan M. BardsleyUniversity of Montana, USA
Organizer: Aaron B. LuttmanNational Security Technologies, LLC, USA
9:10-9:30 An MCMC Approach to Quantifying Uncertainties in Neutron TomographyAaron B. Luttman, Eric Machorro, and Daniel
Lowe, National Security Technologies, LLC, USA
9:35-9:55 Hierarchical Bayesian Sampling for Image Reconstruction of X-Ray and Proton RadiographsMarylesa Howard, National Security
Technologies, LLC, USA; Michael Fowler, MathWorks, USA; Aaron B. Luttman, National Security Technologies, LLC, USA; Margaret Hock, Columbia University, USA
9:35-9:55 Overlapping Clustering and Ldeim in Model Reduction for Nonlinear InversionAlexander Grimm, Serkan Gugercin,
Christopher A. Beattie, and Eric De Sturler, Virginia Tech, USA; Misha E. Kilmer, Tufts University, USA
10:00-10:20 An Efficient Output Error Bound for Model Order Reduction of Parametrized Nonlinear Evolution EquationsPeter Benner, Lihong Feng, and Yongjin
Zhang, Max Planck Institute for Dynamics of Complex Systems, Germany
10:25-10:45 Efficiencies in Global Basis Approximation for Model Order Reduction in Diffuse Optical TomographyMeghan O’Connell and Misha E. Kilmer,
Tufts University, USA; Eric De Sturler, Serkan Gugercin, and Christopher A. Beattie, Virginia Tech, USA
Monday, March 16
MS143Parametric Model Reduction and Inverse Problems - Part III of IV9:10 AM-10:50 AMRoom:251 F
For Part 2 see MS116 For Part 4 see MS169 Optimization and nonlinear inverse problems require the evaluation of a nonlinear function for a slowly changing vector of parameters. If this function involves the solution of one or more partial differential equations, the computational cost may become intractable. An important way to reduce the computational cost is the use of reduced models for the function evaluation and its derivatives. Typically, one wants to maintain the parametric dependence of the problem in the reduced model. The presentations in this minisymposium consider both applications and the theoretical background of parametric model reduction and inverse problems as well as competing stochastic approaches and their links with model reduction.
Organizer: Eric De SturlerVirginia Tech, USA
Organizer: Lars RuthottoEmory University, USA
Organizer: Eldad HaberUniversity of British Columbia, Canada
Organizer: Misha E. KilmerTufts University, USA
Organizer: Christopher A. BeattieVirginia Tech, USA
Organizer: Serkan GugercinVirginia Tech, USA
9:10-9:30 Solution of the Full Waveform Inversion Problems via Projection based Reduced Order ModelsVladimir L. Druskin, Schlumberger-Doll
Research, USA; Alexander V. Mamonov, University of Texas at Austin, USA; Mikhail Zaslavsky, Schlumberger-Doll Research, USA
continued in next column continued on next page
96 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
MS146Student Days: Undergraduate Sessions - Part I of II9:10 AM-10:50 AMRoom:254 C
For Part 2 see MS172 Sponsored by the SIAG Applied Mathematics Education
Undergraduate Research in Applied and Computational Mathematics.
Organizer: Peter R. TurnerClarkson University, USA
9:10-9:21 Interpreting Twitter Data from World Cup TweetsCarol Sadek and Caley Johns, Wofford
College, USA
9:26-9:37 Higher Dimensional Smooth Data Interpolation: Algorithmic Techniques from Computational GeometryAriel Herbert-Voss, University of Utah, USA
9:42-9:53 Valuation of American Options and E. Coli MutationsJames A. Stronz, University of Illinois at
Urbana-Champaign, USA
9:58-10:09 The Effects of Chronic Wasting Disease on Pennsylvania Deer and Coyote PopulationsBrandon D. Thrush, Shippensburg University,
USA
10:14-10:25 Application of Lévy-Flight Firefly Algorithm in Solving Several Engineering ProblemsFauziah Andini Putri, Bandung Institute of
Technology, Indonesia
10:30-10:41 A Bioinformatic Approach to Colorectal Cancer ResearchNicolas Limogiannis and Nick Napier,
Wofford College, USA
Monday, March 16
MS145Task-based Scientific Computing Applications - Part I of II9:10 AM-10:50 AMRoom:254 B
For Part 2 see MS171 The extreme complexity of hardware platforms makes them harder and harder to program. To fully exploit such machines, the High Performance Community often uses a MPI + X (X being pthreads, OpenMP, Cuda ...) programming models. In this minisymposium, we overview an alternative solution consisting of programming at a higher level of abstractions by descrbing a scientific computing application as a sequence of tasks. Taking care of the dependences between tasks, a runtime system then processes the different tasks on the available computational units.
Organizer: Emmanuel AgulloINRIA, France
Organizer: Hatem LtaiefKing Abdullah University of Science & Technology (KAUST), Saudi Arabia
9:10-9:30 A Task-Based Sparse Direct Solver Suited for Large Scale Hierarchical/heterogeneous ArchitecturesPierre Ramet, LABRI, Univ Bordeaux, France
9:35-9:55 Sparse Direct Solvers on Top of a Runtime SystemEmmanuel Agullo, INRIA, France; Alfredo
Buttari, CNRS, France; Florent Lopez, Universite Paul Sabatier, France; Abdou Guermouche, LaBRI, France
10:00-10:20 An Adaptable, Application-Aware Task-Centric Runtime SystemGeorge Bosilca, University of Tennessee,
Knoxville, USA
10:25-10:45 Task-Based Parallelization of the Fast Multipole Method on NVIDIA GPUs and Multicore ProcessorsEric F. Darve, Stanford University, USA;
Emmanuel Agullo, Berenger Bramas, and Olivier Coulaud, INRIA, France; Matthias Messner, Stanford University, USA; Toru Takahashi, Nagoya University, Japan
Monday, March 16
MS144Computational Methods and Uncertainty Quantification for Inverse Problems - Part I of II9:10 AM-10:50 AMcontinued
10:00-10:20 Methods for Accurate and Efficient Computation of the Proper-Orthogonal-Decomposition with Large Data SetsBrian Helenbrook and Fariddudin Behzad,
Clarkson University, USA
10:25-10:45 Proper Orthogonal Decomposition Based Reduced Order Modeling for Real Time Monte Carlo SimulationIndika G. Udagedara and Brian Helenbrook,
Clarkson University, USA; Aaron B. Luttman and Stephen Mitchell, National Security Technologies, LLC, US
2015 SIAM Conference on Computational Science and Engineering 97
Monday, March 16
MS149FASTMath Solver Technologies: Advances and Applications - Part I of II9:10 AM-10:50 AMRoom:258
For Part 2 see MS175 Efficient, scalable, and reliable algorithms for the solution of algebraic equations are crucial for the success of large-scale simulations. This minisymposium focuses on new developments in FASTMath solver algorithms and software, which include iterative and direct linear solution methods, nonlinear solvers, and eigensolvers, and their use in applications. We will describe efforts to increase the efficiency of algorithms and software, extensions of their usability to next generation computers, including heterogeneous architectures, mesh solver interactions as well as the impact of FASTMath solvers on large-scale multiphysics applications.
Organizer: Ulrike M. YangLawrence Livermore National Laboratory, USA
9:10-9:30 New Developments in hypre’s Interfaces and SolversUlrike Meier Yang, Lawrence Livermore
National Laboratory, USA
9:35-9:55 Strategies for Reducing Setup Costs in Algebraic MultigridJonathan J. Hu and Andrey Prokopenko,
Sandia National Laboratories, USA
10:00-10:20 A Distributed CPU-GPU Sparse Direct SolverXiaoye Sherry Li, Lawrence Berkeley
National Laboratory, USA; Piyush Sao and Richard Vuduc, Georgia Institute of Technology, USA
10:25-10:45 Next Generation Sparse Symmetric FactorizationMathias Jacquelin and Esmond G. Ng,
Lawrence Berkeley National Laboratory, USA
Monday, March 16
MS148Reduced-order Models for PDE-constrained Optimization Problems - Part I of II9:10 AM-10:50 AMRoom:150 DE
For Part 2 see MS174 Model reduction is an indispensable tool for simulation-based science, in problem tasks where multiple simulation requests or real-time simulation response by fast approximate models are desired. This minisymposium addresses the particular challenges of model reduction for optimization and optimal control, i.e. scenarios such as shape optimization, parameter optimization, multi-objective optimization, optimal control, feedback control or other PDE-constrained optimization problems. Such problems are relevant to many applications in science and engineering, such as fluid mechanics, solid mechanics, geophysics, electro-magnetics and acoustics.
Organizer: Andrea ManzoniÉcole Polytechnique Fédérale de Lausanne, Switzerland
Organizer: Bernard HaasdonkUniversity of Stuttgart, Germany
9:10-9:30 Projection-based ROMs for Parametrized PDE-constrained Optimization and Control ProblemsAndrea Manzoni, École Polytechnique
Fédérale de Lausanne, Switzerland
9:35-9:55 Aeroelastic Design Optimization with Flutter Constraints and Local Rom InterpolationYoungsoo Choi, David Amsallem, and
Charbel Farhat, Stanford University, USA
10:00-10:20 POD-G Reduced Order Models for Prediction and Control of Turbulent FlowsS.S. Ravindran, University of Alabama,
Huntsville, USA
10:25-10:45 Parameterized Reduced-Order Models for Shape Optimization of Flow DomainsJeff Borggaard, Virginia Tech, USA
Monday, March 16
MS147Hybrid and Multilevel Approaches to Kinetic Equations - Part I of IV9:10 AM-10:50 AMRoom:150 AB
For Part 2 see MS173 In recent years, a significant amount of effort has been directed to solving kinetic equations. Generally, kinetic equations have posed a challenge due to the large phase space associated with the equations, however algorithmic advances and advances in computer hardware have made these simulations more tractable. In this minisymposium, we consider hybrid and multilevel approaches to solving kinetic equations.
Organizer: Jeffrey A. WillertLos Alamos National Laboratory, USA
Organizer: Cory HauckOak Ridge National Laboratory, USA
Organizer: Ryan G. McClarrenTexas A&M University, USA
Organizer: Martin FrankRWTH - Aachen University of Technology, Germany
Organizer: Jingmei QiuUniversity of Houston, USA
9:10-9:30 Kinetic Theory Molecular DynamicsFrank Graziani, Lawrence Livermore
National Laboratory, USA
9:35-9:55 Realizability in High-Order Numerical Solutions of Entropy-Based Moment ClosuresGraham Alldredge, RWTH Aachen
University, Germany
10:00-10:20 A High-Order / Low-Order Approach to Ocean ModelingChris Newman, Geoff Womeldorff, Dana
Knoll, and Luis Chacon, Los Alamos National Laboratory, USA
10:25-10:45 Control Strategies for Multi-Agent GamesMichael Herty, RWTH - Aachen University
of Technology, Germany
98 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
MS152Recent Advances in a Posteriori Error Estimations and Adaptive Methods - Part I of II9:10 AM-10:50 AMRoom:260 B
For Part 2 see MS178 Self-adaptive numerical methods provide a powerful and automatic approach in scientific computing. In particular, Adaptive Mesh Refinement (AMR) algorithms have been widely used in computational science and engineering and have become a necessary tool in computer simulations of complex natural and engineering problems. The key ingredient for success of self-adaptive numerical methods is a posteriori error estimates that are able to accurately locate sources of global and local error in the current approximation. Talks in this minisymposium will cover some recent advances in the development and analysis of both a posteriori estimators and (convergent) adaptive schemes, as well as indicate directions of future research
Organizer: Zhiqiang CaiPurdue University, USA
Organizer: Shun ZhangCity University of Hong Kong, Hong Kong
9:10-9:30 Recovery Based a Posteriori Error Estimation for Finite Element MethodsZhiqiang Cai, Purdue University, USA
9:35-9:55 Localized H(div) Recovery-Based a Posteriori Error EstimatorsXu Zhang and Zhiqiang Cai, Purdue
University, USA
10:00-10:20 Robust a-Posteriori Error Estimation for Finite Element Approximation to H(curl) ProblemShuhao Cao, Pennsylvania State University,
USA
10:25-10:45 Adaptive Finite Element Methods for Fourth Order ProblemsJun Hu, Peking University, China
Monday, March 16
MS151Software Components for Integral Equation Methods - Part I of IV9:10 AM-10:50 AMRoom:260 A
For Part 2 see MS177 Due to recent advances in the underlying technology, integral equations have become highly competitive in attacking the most challenging of elliptic, globally-coupled PDE problems. However, compared to a standard off-the-shelf finite element methods, a larger amount of machinery is involved, including fast algorithms, preconditioners, and singular quadrature methods. To make this theoretically attractive family of methods practically usable, many of these components need to be readily available in software form. This minisymposium seeks to bring together practitioners and researchers with the goal of encouraging exchange of ideas and discovering opportunities for collaboration in this direction.
Organizer: Timo BetckeUniversity College London, United Kingdom
Organizer: Andreas KloecknerUniversity of Illinois, USA
9:10-9:30 BEM++ - Building Blocks for Galerkin Boundary Element MethodsTimo Betcke, Simon Arridge, and Elwin
van’t Wout, University College London, United Kingdom
9:35-9:55 Resolving Uncomfortable Tradeoffs in Building Fast Boundary-Element Method Solvers: It’s Not the Hows, It’s the WhysJaydeep Bardhan, Northeastern University,
USA; Matthew G. Knepley, University of Chicago, USA
10:00-10:20 A Numerical Routine for Fast Spherical Grid RotationsShravan Veerapaneni, University of
Michigan, USA
10:25-10:45 Applications of Accelerated BEM in AeronauticsNolwenn Balin and Benoit Lizé, Airbus,
United Kingdom; Guillaume Sylvand, Airbus Operation S.A.S., France; Isabelle Terrasse, Airbus, United Kingdom
Monday, March 16
MS150High-Order Methods for Computational Fluid Dynamics - Part III of IV9:10 AM-10:50 AMRoom:259
For Part 2 see MS123 For Part 2 see MS176 Novel contributions in the field of high-order numerical methods for computational fluid dynamics. Presentations will explore new high-order methods, benchmarking of existing schemes, and applications to turbulent flow problems.
Organizer: Brian C. VermeireImperial College London, United Kingdom
Organizer: Antony JamesonStanford University, USA
Organizer: Peter E. VincentImperial College London, United Kingdom
9:10-9:30 Understanding the Role of Spectral Vanishing Viscosity in High Reynolds Number FlowsRodrigo Moura, Jean-Eloi Lombard, David
Moxey, Yan Bao, and Spencer Sherwin, Imperial College London, United Kingdom
9:35-9:55 A Theoretical and Computational Framework for Measure-Valued Solutions to Conservation LawsZakerzadeh Mohammad and Georg May,
RWTH Aachen University, Germany
10:00-10:20 An Implicit Les Strategy for High Order Discontinuous Galerkin DiscretizationsAndrea D. Beck and David Flad, University
of Stuttgart, Germany; Claus-Dieter Munz, Institut fuer Aerodynamik und Gasdynamik (IAG), Germany
10:25-10:45 High-Order Finite-Volume Solution of Turbulent Aerodynamic FlowsAlireza Jalali and Carl Ollivier-Gooch,
University of British Columbia, Canada
2015 SIAM Conference on Computational Science and Engineering 99
Monday, March 16
MS155Large Scale Computing in the Geosciences - Part I of II9:10 AM-10:50 AMRoom:151 G
For Part 2 see MS181 Advances in scientific computing (new algorithms, open-source software, high performance computing) have made it possible to solve larger and larger problems. These advances are especially advantageous in the geosciences, where typical problems are time-dependent and three-dimensional with little or no symmetry and with important dynamics at multiple scales. Geoscientists are increasingly relying on cutting-edge software and algorithms to advance the understanding of planet Earth. This minisymposium brings together geophysicists, mathematicians, and computer scientists to discuss the latest developments at the intersection of these fields.
Organizer: Sander RhebergenUniversity of Oxford, United Kingdom
Organizer: Andrew J. WathenUniversity of Oxford, United Kingdom
Organizer: Richard F. KatzUniversity of Oxford, United Kingdom
9:10-9:30 Three-Field Block-Preconditioners for Models of Coupled Magma/mantle DynamicsSander Rhebergen, University of Oxford,
United Kingdom; Garth Wells, University of Cambridge, United Kingdom; Andrew J. Wathen and Richard F. Katz, University of Oxford, United Kingdom; Laura Alisic and John Rudge, University of Cambridge, United Kingdom
9:35-9:55 Parallel and Adaptive Mantle Convection Simulation in AspectTimo Heister, Clemson University, USA;
Wolfgang Bangerth, Texas A&M University, USA
10:00-10:20 HPC Finite Elements for Nonlinear Stokes FlowDave A. May, ETH Zürich, Switzerland; Jed
Brown, Argonne National Laboratory, USA and University of Colorado Boulder, USA
10:25-10:45 Large-Scale Forward and Inverse Numerical Simulations of Crustal and Lithospheric-Scale DeformationBoris Kaus, Anton Popov, and Tobias
Baumann, Johannes Gutenberg-Universität, Mainz, Germany
Monday, March 16
MS154Novel Spectral Approximation: Theory, Algorithms and Applications - Part I of II9:10 AM-10:50 AMRoom:151 DE
For Part 2 see MS180 Spectral and high-order methods traditionally offer high-accuracy computational results in scientific computing. Yet, recent research focuses on very different and compelling advantages for applications. These include low dispersion for wave propagation problems, near-minimal degrees of freedom for oscillatory problems and great flexibility in dealing with complicated geometries. The goal of this minisymposium is to present an overview of such contemporary research topics. Methods of recent interest include Fourier extensions or continuations, radial basis functions and redundant frame discretizations. Challenges involve obtaining fast transforms and well-conditioned discretizations, or overcoming ill-conditioning in methods involving redundancy. The focus ranges from theory to applications.
Organizer: Daan HuybrechsKatholieke Universiteit Leuven, Belgium
9:10-9:30 Fast Spectral PDE Solvers for Complex Structures: the Fourier-Continuation MethodOscar P. Bruno, California Institute of
Technology, USA
9:35-9:55 Frame Theoretic Convolutional GriddingAnne Gelb, Arizona State University, USA;
Guohui Song, Clarkson University, USA
10:00-10:20 Optimized Fourier Continuation MethodsMark Lyon, University of New Hampshire,
USA
10:25-10:45 A New Radial Basis Functions (RBF)-based Frame Method to Bypass the Runge PhenomenonCecile M. Piret, Université Catholique de
Louvain, Belgium
Monday, March 16
MS153A Hierarchy of Models for Computational Neuroscience9:10 AM-10:50 AMRoom:151 AB
This minisymposium will focus on a hierarchy of mathematical/physical models (from discrete ions to the continuum drift-diffusion model to a continuum spine model) for predicting neurological behavior at various levels. Numerical simulations and mathematical analyses of the models will be presented, and applied to diverse neuroscience problems like the retina, sensory processing, and neuron signaling.
Organizer: Carl L. GardnerArizona State University, USA
Organizer: Steven M. BaerArizona State University, USA
9:10-9:30 Continuum Spine Modeling with Application to Outer Retina NeurocircuitrySteven M. Baer, Arizona State University,
USA
9:35-9:55 Simulation of the Ephaptic Effect in the Cone-Horizontal Cell Synapse of the RetinaCarl L. Gardner, Arizona State University,
USA
10:00-10:20 Modeling of Calcium-Induced Calcium ReleaseDirk Gillespie, Rush University Medical
Center, USA
10:25-10:45 Dendritic Coincidence Detection Enabling Wordspotting ComputationJennifer Hasler, Georgia Institute of
Technology, USA
100 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
MS156Featured Minisymposium: Physics-compatible Numerical Methods1:30 PM-3:10 PMRoom:355
Physics-compatible numerical methods are methods that aim to preserve key mathematical and physical properties of continuum physics models in their finite-dimensional algebraic representations. They include methods which preserve prop- erties such as energy, monotonicity, maximum principles, symmetries, and involutions of the continuum models. Examples are mimetic methods for spatial discretizations, variational and geometric integrators, conservative finite-volume and finite- element methods, etc. Research on physics-compatible numerical methods is rapidly becoming a major research thrust across multiple disciplines within the broader area of computational science and engineering. Our principal goal in arranging this minisymosium is to give samples of this flourishing field.
Organizer: Mikhail ShashkovLos Alamos National Laboratory, USA
1:30-1:50 Mimetic Finite-Difference MethodsMikhail Shashkov, Los Alamos National
Laboratory, USA
1:55-2:15 A High-Order/Low-Order Exponentially-Convergent IMC MethodSimon Bolding and Jim E. Morel, Texas
A&M University, USA; Robert B. Lowrie, Los Alamos National Laboratory, USA
2:20-2:40 Multiphysics Lagrangian/Eulerian Modeling and deRham Complex Based AlgorithmsAllen C. Robinson, Sandia National
Laboratories, USA
2:45-3:05 A Sub Cell Dynamics Based Closure Model for Multimaterial Arbitrary Lagrangian Eulerian CodesAndrew J. Barlow, Atomic Weapons
Establishment, United Kingdom
Monday, March 16
PD3 PanelThe Future of CSE as a Discipline12:15 PM-1:30 PMRoom:355 D
Chair: David E. Keyes, King Abdullah University of Science & Technology (KAUST), Saudi Arabia
Over the past two decades Computational Science and Engineering (CSE) has penetrated the academy, with prominent roles in advancing research and providing interdisciplinary education. However, a combination of disruptive developments -- including extreme-scale computing, big data, and a significant diversification of the applications of CSE in science, technology, and society -- is redefining the scope and reach of CSE. This forward-looking panel will explore the future of CSE in a broad academic context. What new “grand challenges” may drive progress in CSE? How can CSE shape the future of new application fields such as computational medicine and biology, computational geoscience, and materials science? Are there opportunities to extend CSE to new areas such as social network analysis, cybersecurity and the social sciences, with mathematics-based large-scale computing rapidly becoming of crucial importance in almost all areas of society? Is the CSE paradigm and focus sufficiently unique and significant to warrant separate programs, graduate degrees, academic departments, and funding streams?
Panelists:Lorena BarbaBoston University, USA
Wolfgang MarquardtRWTH Aachen University, Germany
J. Tinsley OdenUniversity of Texas at Austin, USA
Padma RaghavanPennsylvania State University, USA
Ed SeidelUniversity of Illinois at Urbana-
Champaign, USA
Monday, March 16Coffee Break10:50 AM-11:20 AMRoom:255
IP6Scaling Open Systems for Future Computational Challenges11:20 AM-12:05 PMRoom:355
Chair: Anders Logg, Chalmers University of Technology, Sweden
Computational models are changing rapidly, partially in response to growing data size and advances in high-performance computing. Open approaches are well suited to this dynamic environment as they provide agile responses to complex, evolving code, and support the greater goal of ensuring reproducible science. This presentation introduces some open initiatives addressing big data and HPC and the role that software architectures and processes plays in advancing scientific computation. Also discussed are emerging trends including competitive challenges and active publications that will likely play an important role in the creation, development and deployment of computational software.
Will SchroederKitware, Inc., USA
Lunch Break12:05 PM-1:30 PMAttendees on their own
2015 SIAM Conference on Computational Science and Engineering 101
Monday, March 16
MS159High-dimensional Approximation and Integration: Analysis and Computation - Part IV of V1:30 PM-3:10 PMRoom:250 B
For Part 3 see MS133 For Part 5 see MS185 This minisymposium focuses on the fundamental problem of how to accurately approximate solutions of both forward and inverse high-dimensional functions. Predicting the behavior of complex phenomena relies on constructing solutions in terms of high dimensional spaces, particularly in the case when the input data (coefficients, forcing terms, initial and boundary conditions, geometry) are affected by large amounts of uncertainty. The resulting explosion in computational effort is a symptom of the curse of dimensionality and this symposium aims at exploring breakthroughs in sparse sampling and representations, nonlinear and greedy approximations, compressed sensing, multilevel methods, and ”best-N-term” approximations.
Organizer: Guannan ZhangOak Ridge National Laboratory, USA
Organizer: Albert CohenUniversité Pierre et Marie Curie, France
Organizer: Max GunzburgerFlorida State University, USA
Organizer: Clayton G. WebsterOak Ridge National Laboratory, USA
1:30-1:50 Option Pricing and the Anova Decomposition of a Function of An Infinite Number of VariablesIan H. Sloan and Frances Y. Kuo, University
of New South Wales, Australia; Michael Griebel, University of Bonn, Germany
1:55-2:15 Application of Quasi-Monte Carlo Methods to PDEs with Random CoefficientsFrances Y. Kuo, University of New South
Wales, Australia
2:20-2:40 Adaptive Monte Carlo and Quasi-Monte Carlo IntegrationFred J. Hickernell, Lan Jiang, and Antoni
Luís Jiménez Rugama, Illinois Institute of Technology, USA
Monday, March 16
MS158Recent Advances in Bayesian Methods for Computational Science and Engineering - Part II of II1:30 PM-3:10 PMRoom:250 A
For Part 1 see MS132 This minisymposium highlights the most recent impact of Bayesian inference for uncertainty quantification, statistical modeling, experimental design, and optimization. We discuss novel approximation techniques bringing with them a myriad of new potential applications from medicine to engineering, finance, and biology. The minisymposium brings together researchers from diverse application domains to introduce and transfer recent contributions, as well as to discuss open challenges due to increasing demand for efficient techniques.
Organizer: AlbertoGiovanni BusettoUniversity of California, Santa Barbara, USA
Organizer: James BeckCalifornia Institute of Technology, USA
1:30-1:50 On the Use of Particle Based Methods for the Real Time Identification and Control of Nonlinear Dynamical SystemsEleni Chatzi, ETH Zürich, Switzerland
1:55-2:15 Bayesian Uncertainty Quantification and Propagation for Molecular Dynamic Simulations in Nanoscale Fluid MechanicsPetros Koumoutsakos and Panagiotis
Angelikopoulos, ETH Zürich, Switzerland; Costas Papadimitriou, University of Thessaly, Greece
2:20-2:40 Sequentially Constrained Monte CarloDave A. Campbell, Simon Fraser University,
Canada; Shirin Golchi, Columbia University, USA
2:45-3:05 Computationally Efficient Tools for Bayesian Uncertainty Quantification and Propagation in Structural DynamicsCostas Papadimitriou, University
of Thessaly, Greece; Panagiotis Angelikopoulos, Panagiotis Hadjidoukas, and Petros Koumoutsakos, ETH Zürich, Switzerland
Monday, March 16
MS157Cut Cells: Algorithms and Applications - Part II of II1:30 PM-3:10 PMRoom:355 A
For Part 1 see MS130 Cut cell methods solve PDEs in complex geometry using a regular Cartesian grid with special treatment for cells that intersect the boundary. These methods are attractive because they easily represent complex and moving geometries. Cut cell methods have been used with finite difference, volume and element discretizations, across a wide range of problems, including aerodynamics, meteorology, oceanography, and others. Challenges include gaps in theoretical underpinnings; issues due to arbitrarily small cells; and the programming complexity that arises with cell merging and other stabilization techniques. This minisymposium will highlight recent algorithmic advances, and include a variety of science domain applications.
Organizer: Hans JohansenLawrence Berkeley National Laboratory, USA
Organizer: Marsha BergerCourant Institute of Mathematical Sciences, New York University, USA
1:30-1:50 A Higher-Order Cut Cell Finite Volume Method For Advection-DiffusionDharshi Devendran and Hans Johansen,
Lawrence Berkeley National Laboratory, USA
1:55-2:15 A Mixed Explicit Implicit Time Stepping Scheme for Cartesian Embedded Boundary MeshesSandra May, ETH Zürich, Switzerland;
Marsha Berger, Courant Institute of Mathematical Sciences, New York University, USA
2:20-2:40 Inverse Lax-Wendroff Procedure for Numerical Boundary Conditions of Hyperbolic EquationsChi-Wang Shu, Brown University, USA
2:45-3:05 Representing Topography in Earth System Models with Porous BarriersAlistair Adcroft, Princeton University, USA
continued on next page
102 2015 SIAM Conference on Computational Science and Engineering
2:20-2:40 Hierarchical Resilience for Structured AMRAnshu Dubey, Lawrence Berkeley National
Laboratory, USA; Hajime Fujita and Zachary Rubenstein, University of Chicago, USA; Brian Van Straalen, Lawrence Berkeley National Laboratory, USA; Andrew A. Chien, University of Chicago and Argonne National Laboratory, USA
2:45-3:05 Resilience Properties of Gossip-Style AlgorithmsWilfried N. Gansterer, Gerhard
Niederbrucker, Michael Moldaschl, and Karl Prikopa, University of Vienna, Austria
Monday, March 16
MS160Resilience in Numerical Simulations and Algorithms at Extreme Scale: Part IV of IV - Applications1:30 PM-3:10 PMRoom:250 C
For Part 3 see MS134 The advent of extreme scale machines will require the use of parallel resources at an unprecedented scale, probably leading to a high rate of hardware faults. Handling fully these faults at the computer system level may have a prohibitive cost. High performance computing applications that aim at exploiting all these resources will thus need to be resilient, in this minisymposium different complementary approaches and methods will be presented to possibly address this key aspect of extreme scale computing.
Organizer: Keita TeranishiSandia National Laboratories, USA
Organizer: Luc GiraudINRIA, France
Organizer: Emmanuel AgulloINRIA, France
Organizer: Michael HerouxSandia National Laboratories, USA
1:30-1:50 Adaptive Determination of Optimal Multilevel Monte Carlo parameters in the Presence of FailuresPeter Arbenz and Stefan Pauli, ETH Zürich,
Switzerland
1:55-2:15 Spatial Decomposition for Resilient Extreme-Scale Scientific SimulationsFrancesco Rizzi, Khachik Sargsyan,
Karla Morris, and Cosmin Safta, Sandia National Laboratories, USA; Paul Mycek and Omar M. Knio, Duke University, USA; Olivier LeMaitre, LIMSI-CNRS, France; Habib N. Najm and Bert J. Debusschere, Sandia National Laboratories, USA
Monday, March 16
MS159High-dimensional Approximation and Integration: Analysis and Computation - Part IV of V1:30 PM-3:10 PMcontinued
2:45-3:05 H-Matrix Accelerated Second Moment Analysis for Potentials with Rough CorrelationHelmut Harbrecht, Juergen Doelz, and
Michael Peters, Universität Basel, Switzerland; Christoph Schwab, ETH Zürich, Switzerland
continued in next column
2015 SIAM Conference on Computational Science and Engineering 103
2:20-2:40 Fast Time-Domain Simulation for Reliable Fault DetectionE. Jan W. ter Maten, Bergische Universität
Wuppertal, Germany; Bratislav Tasic, Jos J. Dohmen, Theo G.J. Beelen, and Rick Janssen, NXP Semiconductors, Research, The Netherlands; Wil Schilders, Eindhoven University of Technology, Netherlands; Michael Guenther, Bergische Universität, Germany
2:45-3:05 Modelling Transmission Power Systems with the Implicit DAE Solver, IDAPhilip Top, Carol S. Woodward, and Alan
Hindmarsh, Lawrence Livermore National Laboratory, USA
Monday, March 16
MS162Advances in Time-stepping Methods - Part II of V1:30 PM-3:10 PMRoom:250 E
For Part 1 see MS136 For Part 3 see MS188 Time-stepping methods are numerical methods for the time evolution of ODEs, DAEs, and PDEs in the method-of-lines framework. Many applications require specialized time-stepping methods in order to enhance efficiency or capture particular theoretical properties such as positivity, symplecticity, and strong-stability-preservation or practical properties such as parallelization on emerging high-performance architectures, component (e.g., multirate or local time-stepping) and physics (IMEX or semi-implicit) splittings based on sub-system properties, and reliable error estimation and control. The talks in this minisymposium will describe recent novel developments in time-stepping methods and demonstrate their benefits in practical applications.
Organizer: Emil M. ConstantinescuArgonne National Laboratory, USA
Organizer: Michael GuentherBergische Universität, Germany
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Raymond J. SpiteriUniversity of Saskatchewan, Canada
1:30-1:50 Optimal Convergence Rates of Co-Simulation Using Fine Structure AnalysisAndreas Bartel and Kai Gausling, University
of Wuppertal, Germany; Sebastian Schöps, TU Darmstadt, Germany
1:55-2:15 Trigonometric Integration Methods in Circuit SimulationHans-Georg Brachtendorf and Kai Bittner,
University of Applied Science Hagenberg, Austria
Monday, March 16
MS161Model Error Assessment in Computational Physical Models - Part II of II1:30 PM-3:10 PMRoom:250 D
For Part 1 see MS135 While parametric uncertainty quantification is performed routinely in computational science and engineering, model error assessment is still largely lacking and faces significant challenges that are yet to be resolved. For example, it is unclear how to properly disambiguate data noise from model errors. Recently there has been growing interest and some development towards the quantification of model errors, i.e. the inherent discrepancies from the truth that cannot be reduced within the model assumptions. This minisymposium focuses on state-of-the-art and novel methods for quantification of model errors. It highlights challenges and introduces a range of available methods to the computational science community, hoping to contribute significantly to improving predictive fidelity of computational physical models across a range of disciplines.
Organizer: Khachik SargsyanSandia National Laboratories, USA
Organizer: Habib N. NajmSandia National Laboratories, USA
1:30-1:50 Uncertainty in Reynolds Stress Closures for Turbulent Flow CalculationsGianluca Iaccarino and Michael A. Emory,
Stanford University, USA; Catherine Gorle, University of Antwerp, Belgium
1:55-2:15 Eddy Viscosity Model Selection for Transonic Turbulent Flows Using Shrinkage RegressionLawrence Dechant, Sophia Lefantzi, Jaideep
Ray, and Srinivasan Arunajatesan, Sandia National Laboratories, USA
2:20-2:40 Estimating a Model Discrepancy Term for the Community Land Model Using Latent Heat and Runoff ObservationsJaideep Ray and Laura Swiler, Sandia
National Laboratories, USA; Maoyi Huang and Zhangshuan Hou, Pacific Northwest National Laboratory, USA
2:45-3:05 Formulation and Calibration of a Stochastic Model Form Error Representation for RansRobert D. Moser, Todd Oliver, and Bryan
Reuter, University of Texas at Austin, USAcontinued in next column
104 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
MS165Inverse Analysis and Uncertainty Quantification in Fluid Mechanics - Part II of II1:30 PM-3:10 PMRoom:251 B
For Part 1 see MS139 Advances in computing resources and algorithms have enabled simulations of engineered systems of unprecedented complexity. Increasingly, these simulations are being used to inform important design and operational decisions. In this context, providing defensible uncertainty estimates for computed quantities of interest is critical. The aim of this minisymposium is to bring together researchers developing approaches for quantifying uncertainties, including those due to uncertain parameters, inadequate physical models, and uncertain or sparse experimental data, in fluid mechanics applications. There is broad interest in both statistical approaches and fluids mechanics applications for participation in this minisymposium.
Organizer: Paul BaumanState University of New York, Buffalo, USA
Organizer: Todd OliverUniversity of Texas at Austin, USA
Organizer: David SalacUniversity of Buffalo, SUNY, USA
Organizer: Abani K. PatraState University of New York, Buffalo, USA
1:30-1:50 Calibration of the Spalart-Allmaras Turbulence Model for Blunt Body Re-Entry Vehicle Flows Using DNS DataRobert D. Moser, Todd Oliver, Victor
Topalian, and Rhys Ulerich, University of Texas at Austin, USA
1:55-2:15 Predictive Uncertainty Quantification of An Ablating Entry Vehicle HeatshieldRoy Stogner, University of Texas at Austin,
USA
Monday, March 16
MS164UQ in Large Scale Computing - Part II of II1:30 PM-3:10 PMRoom:251 A
For Part 1 see MS138 The move towards ever-larger scale computing is bringing both challenges and opportunities to the field of uncertainty quantification. On the one hand, the increase in computing power helps to offset the cost of UQ, even for complex applications. On the other hand, communication bottlenecks, increased frequencies of soft and hard faults, and limits on memory create computational challenges for UQ algorithms. Furthermore, the relative sparsity of validation data for high-dimensional, complex applications puts strenuous demands on UQ to assess the predictive fidelity of the simulations. This minisymposium brings together talks that address these challenges.
Organizer: Bert J. DebusschereSandia National Laboratories, USA
Organizer: Eric PhippsSandia National Laboratories, USA
1:30-1:50 Information-Theoretic Tools for Uncertainty Quantification of High Dimensional Stochastic Models.Paul Dupuis, Brown University, USA;
Markos Katsoulakis and Yannis Pantazis, University of Massachusetts, Amherst, USA; Petr Plechac, University of Delaware, USA
1:55-2:15 Highly Scalable Hierarchical Sampling Algorithms for Gaussian Random FieldsPanayot Vassilevski and Umberto E. Villa,
Lawrence Livermore National Laboratory, USA
2:20-2:40 Use of Parallel MCMC Methods with the Community Land ModelJaideep Ray and Laura Swiler, Sandia
National Laboratories, USA; Maoyi Huang and Jason Hou, Pacific Northwest National Laboratory, USA
2:45-3:05 A Fast N-body Algorithm for Kernel Sums in High DimensionsGeorge Biros and Bill March, University of
Texas at Austin, USA; Bo Xiao, Georgia Institute of Technology, USA
Monday, March 16
MS163Sparse Matrix Factorization on GPU's1:30 PM-3:10 PMRoom:250 F
Many problems of engineering interest (structural analysis, circuit simulation, statistics, etc.) require the factorization and solution of large sparse linear systems. While today’s GPUs can provide several teraflops of performance in a desktop configuration, the use of GPUs for direct sparse factorization has been limited due to the very irregular nature of the problem. Recently researchers have been making significant progress in accelerating direct sparse factorization methods such as QR, LU and Cholesky, and LDLT on GPUs. The purpose of this minisymposium is to bring together researchers studying algorithms for accelerating direct sparse factorization on GPUs.
Organizer: Steven C. RennichNVIDIA, USA
Organizer: Timothy A. DavisTexas A&M University, USA
1:30-1:50 Accelerating the Supernodal Sparse Cholesky Factorization on GPUsSteven C. Rennich, NVIDIA, USA; Timothy
A. Davis, Texas A&M University, USA; Darko Stosic, NVIDIA, USA
1:55-2:15 Sparse Communication Avoiding Pivoting and GPUsJonathan Hogg and Jennifer Scott,
Rutherford Appleton Laboratory, United Kingdom
2:20-2:40 Sparse QR Factorization on Heterogenous Platforms with Multiple GPUsMohamed Gadou, University of Florida,
USA; Timothy A. Davis, Texas A&M University, USA; Sanjay Ranka, University of Florida, USA
2:45-3:05 GLU: LU Re-Factorization on the GPUMaxim Naumov, Sharan Chetlur, and Lung
Sheng Chien, NVIDIA, USA
continued on next page
2015 SIAM Conference on Computational Science and Engineering 105
Monday, March 16
MS167
See Tuesday 4:25 PM
Monday, March 16
MS166Computational Science for Current Multidisciplinary Research Problems 1:30 PM-3:10 PMRoom:251 C
Part of the SIAM Workshop Celebrating Diversity
Everyday scientists conduct research in an effort to contribute to the vast array of scientific disciplines. More and more, computational science is being used as part of these efforts. This minisymposium will highlight the outstanding research being conducted using computational science, with applications encompassing several disciplines. Specifically, as part of the Workshop Celebrating Diversity, the session will highlight the work of female scientists.
Organizer: Talea MayoPrinceton University, USA
Organizer: Talea MayoPrinceton University, USA
Organizer: Susan E. MinkoffUniversity of Texas at Dallas, USA
Organizer: Stephen WirkusArizona State University, USA
Organizer: Raegan HigginsTexas Tech University, USA
1:30-1:50 Optimization of Computational Simulation Set for Quantification of Hurricane Surge Extreme-Value StatisticsJennifer L. Irish, Virginia Tech, USA
1:55-2:15 Mathematical Modeling of Gliomas: Implications for Interpreting Therapeutic Efficacy Through ImagingAndrea Hawkins-Daarud and Russell
Rockne, Northwestern University, USA; David Corwin, LaunchPad Lab, USA; Alexander R.A. Anderson, H. Lee Moffitt Cancer Center & Research Institute, USA; Paul Kinahan, University of Washington, USA; Kristin R. Swanson, Northwestern University, USA
2:20-2:40 Random Matrix Models for the Representation of Model Inadequacy: A Case Study in Chemical KineticsRebecca Morrison and Robert D. Moser,
University of Texas at Austin, USA
2:45-3:05 Hurricane Storm Surge Risk Analysis for the US North Atlantic CoastTalea Mayo, and Ning Lin, Princeton
University, USA
2:20-2:40 Construction of Gaussian Surrogate Process Using Numerical and Modeling Error UncertaintyHossein Aghakhani and Abani K. Patra, State
University of New York, Buffalo, USA; Elaine Spiller, Marquette University, USA
2:45-3:05 Quantifying the Impact of Numerical Errors Along with Other Uncertainties on Probabilistic Hazard MappingElaine Spiller, Marquette University, USA;
Hossein Aghakhani, State University of New York, Buffalo, USA
106 2015 SIAM Conference on Computational Science and Engineering
2:20-2:40 Certified Reduced Basis Model Reduction for Maxwell’s EquationsMartin W. Hess and Peter Benner, Max
Planck Institute for Dynamics of Complex Systems, Germany
2:45-3:05 Parameter Estimation for Inverse ProblemsJustin Krueger, Virginia Tech, USA
Monday, March 16
MS169Parametric Model Reduction and Inverse Problems - Part IV of IV1:30 PM-3:10 PMRoom:251 F
For Part 3 see MS143 Optimization and nonlinear inverse problems require the evaluation of a nonlinear function for a slowly changing vector of parameters. If this function involves the solution of one or more partial differential equations, the computational cost may become intractable. An important way to reduce the computational cost is the use of reduced models for the function evaluation and its derivatives. Typically, one wants to maintain the parametric dependence of the problem in the reduced model. The presentations in this minisymposium consider both applications and the theoretical background of parametric model reduction and inverse problems as well as competing stochastic approaches and their links with model reduction.
Organizer: Eric De SturlerVirginia Tech, USA
Organizer: Lars RuthottoEmory University, USA
Organizer: Eldad HaberUniversity of British Columbia, Canada
Organizer: Misha E. KilmerTufts University, USA
Organizer: Christopher A. BeattieVirginia Tech, USA
Organizer: Serkan GugercinVirginia Tech, USA
1:30-1:50 Numerical Stability Issues in H_2 approximation MethodsZlatko Drmac, University of Zagreb, Croatia;
Christopher A. Beattie and Serkan Gugercin, Virginia Tech, USA
1:55-2:15 Stochastic Approach to Nonlinear Inversion Combining Simultaneous Random and Deterministic SourcesSelin Sariaydin, Eric De Sturler, and Serkan
Gugercin, Virginia Tech, USA; Misha E. Kilmer, Tufts University, USA
Monday, March 16
MS168Inverse Problems and Data Assimilation - Part I of VI1:30 PM-3:10 PMRoom:251 E
For Part 2 see MS194 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to:
1) deterministic and statistical approaches to inversion problems and data assimilation; 2) reduced order modeling inversion framework; 3) treatment of nonlinear and non-smooth processes; 4) sensitivity analysis and its application to adaptive (targeting) observation; 5) operational data assimilation systems; 6) uncertainties impact studies; 7) automatic tools to support inversion and data assimilation methodologies.Organizer: Razvan StefanescuVirginia Tech, USA
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Ionel M. NavonFlorida State University, USA
Organizer: Dacian N. DaescuPortland State University, USA
1:30-1:50 Nonlinear Model Order Reduction Using Pod/DEIM 4-D Var with Trust Region Applied to a Spherical Shallow Water Equations ModelIonel M. Navon, Florida State University,
USA; Fangxin Fang, Imperial College London, United Kingdom; Juan Du, Academia Sinica, China
1:55-2:15 Aposteriori Error Estimates and Adaptive Reduced Order Modeling Data AssimilationRazvan Stefanescu and Adrian Sandu, Virginia
Tech, USA
2:20-2:40 Interpolatory Model Reduction for Nonlinear InversionSerkan Gugercin, Virginia Tech, USA
2:45-3:05 Reduced Order Modelling for Fluid-Structure Interaction ProblemsFrancesco Ballarin, Politecnico di Milano,
Italy; Gianluigi Rozza, SISSA, International School for Advanced Studies, Trieste, Italy continued in next column
2015 SIAM Conference on Computational Science and Engineering 107
Monday, March 16
MS172Student Days: Undergraduate Sessions - Part II of II1:30 PM-3:10 PMRoom:254 C
For Part 1 see MS146 Sponsored by the SIAG Applied Mathematics Education
Undergraduate Research in Applied and Computational Mathematics.
Organizer: Peter R. TurnerClarkson University, USA
1:30-1:41 Bounds on Electrical Fields in Two-Component Inhomogeneous BodiesZoe Koch, Michael Primrose, and Michael
Zhao, University of Utah, USA
1:46-1:57 Pymethyl: A Bioinformatic Approach to Methylation Patterns and their Epigenetic Effects on Risk of Breast CancerCody Watson, Wofford College, USA
2:02-2:13 Estimation of Unmodeled Gravitational Wave Transients: an Application of Spline Based Regression and Particle Swarm OptimizationCalvin Leung, Harvey Mudd College, USA
2:18-2:29 Modeling Bull Sperm Motility Using Image ProcessingLinan Zhang, Worcester Polytechnic
Institute, USA
2:34-2:45 Mean Squared Displacement and Mean First Passage Time in Fluids with MemoryMichael Senter, University of Utah, USA
2:50-3:01 Persistent Random Walk of Microorganisms in a Porous MediumGrace Lim, California State Polytechnic
University, Pomona, USA; Aden Forrow, Massachusetts Institute of Technology, USA
Monday, March 16
MS171Task-based Scientific Computing Applications - Part II of II1:30 PM-3:10 PMRoom:254 B
For Part 1 see MS145 The extreme complexity of hardware platforms makes them harder and harder to program. To fully exploit such machines, the High Performance Community often uses a MPI + X (X being pthreads, OpenMP, Cuda ...) programming models. In this minisymposium, we overview an alternative solution consisting of programming at a higher level of abstractions by descrbing a scientific computing application as a sequence of tasks. Taking care of the dependences between tasks, a runtime system then processes the different tasks on the available computational units.
Organizer: Emmanuel AgulloINRIA, France
Organizer: Hatem LtaiefKing Abdullah University of Science & Technology (KAUST), Saudi Arabia
1:30-1:50 Task Based Programming with Pycompss: Leveraging Python in Parallel PlatformsRosa M. Badia, Barcelona Supercomputing
Center, Spain
1:55-2:15 A Task-Based Computational Astronomy ApplicationHatem Ltaief, King Abdullah University of
Science & Technology (KAUST), Saudi Arabia
2:20-2:40 Coarse Grained Task-Based Parareal Parallel-In-Time Applications in Fusion EnergyWael R. Elwasif, Oak Ridge National
Laboratory, USA; Debasmita Samaddar, UK Atomic Energy Authority, United Kingdom
2:45-3:05 Applications at Airbus Group of a Task-Based H-Matrix SolverGuillaume Sylvand, Airbus Operation S.A.S.,
France; Benoit Lize, Airbus, United Kingdom
Monday, March 16
MS170Computational Methods and Uncertainty Quantification for Inverse Problems - Part II of II1:30 PM-3:10 PMRoom:254 A
For Part 1 see MS144 Inverse problems require estimating parameters in a mathematical model from indirect observations. The number of unknown parameters is typically large, and obtaining a meaningful estimate is often impossible without special techniques such as regularization. Moreover, even with regularization, the resulting computational problems are often very challenging. A separate issue is that the measurements are stochastic, prior information contains uncertainty, and hence the solutions of inverse problems contain uncertainty. In some inverse problems applications, quantifying uncertainty in solutions is essential. The talks in this minisymposium will focus on computational methods both for solving inverse problems and for quantifying uncertainty in solutions.
Organizer: Johnathan M. BardsleyUniversity of Montana, USA
Organizer: Aaron B. LuttmanNational Security Technologies, LLC, USA
1:30-1:50 Using Numerical Optimization Methods for Sampling in Inverse ProblemsJohnathan M. Bardsley, University of
Montana, USA
1:55-2:15 Point Spread Reconstruction from the Image of a Sharp Edge: Computation and Uncertainty QuantificationKevin Joyce and Johnathan M. Bardsley,
University of Montana, USA; Aaron B. Luttman, National Security Technologies, LLC, USA; Peter Golubstov, Moscow State University, Russia
2:20-2:40 Constrained Iterative Solver for Sparse Unmixing and Deblurring of Hyperspectral ImagesSebastian Berisha, University of
Pennsylvania, USA; James G. Nagy, Emory University, USA; Robert Plemmons, Wake Forest University, USA
2:45-3:05 Statistical Tests for Total Variation Regularization Parameter SelectionJodi Mead, Boise State University, USA
108 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
MS175FASTMath Solver Technologies: Advances and Applications - Part II of II1:30 PM-3:10 PMRoom:258
For Part 1 see MS149 Efficient, scalable, and reliable algorithms for the solution of algebraic equations are crucial for the success of large-scale simulations. This minisymposium focuses on new developments in FASTMath solver algorithms and software, which include iterative and direct linear solution methods, nonlinear solvers, and eigensolvers, and their use in applications. We will describe efforts to increase the efficiency of algorithms and software, extensions of their usability to next generation computers, including heterogeneous architectures, mesh solver interactions as well as the impact of FASTMath solvers on large-scale multiphysics applications.
Organizer: Ulrike M. YangLawrence Livermore National Laboratory, USA
1:30-1:50 FASTMath Unstructured Mesh (MOAB) Solver (PETSc) InteractionsVijay Mahadevan, Iulian Grindeanu,
and Barry F. Smith, Argonne National Laboratory, USA
1:55-2:15 Application of Algebraic Multigrid (PETSc) for Block Structured Adaptive Mesh Refinement Applications (Chombo)Mark Adams, Lawrence Berkeley National
Laboratory, USA
2:20-2:40 Scalable Adaptive ImEx Integration with ARKode and HYPREDaniel R. Reynolds, Southern Methodist
University, USA
2:45-3:05 Solvers and Error Control for Atmospheric Column PhysicsJed Brown, Argonne National Laboratory,
USA and University of Colorado Boulder, USA
Monday, March 16
MS174Reduced-order Models for PDE-constrained Optimization Problems - Part II of II1:30 PM-3:10 PMRoom:150 DE
For Part 1 see MS148 Model reduction is an indispensable tool for simulation-based science, in problem tasks where multiple simulation requests or real-time simulation response by fast approximate models are desired. This minisymposium addresses the particular challenges of model reduction for optimization and optimal control, i.e. scenarios such as shape optimization, parameter optimization, multi-objective optimization, optimal control, feedback control or other PDE- constrained optimization problems. Such problems are relevant to many applications in science and engineering, such as fluid mechanics, solid mechanics, geophysics, electro-magnetics and acoustics.
Organizer: Andrea ManzoniÉcole Polytechnique Fédérale de Lausanne, Switzerland
Organizer: Bernard HaasdonkUniversity of Stuttgart, Germany
1:30-1:50 Reduced Order Models for Nonlinear PDE-Constrained Optimization Problems in Fluid DynamicsFederico Negri, Andrea Manzoni, and Alfio
Quarteroni, École Polytechnique Fédérale de Lausanne, Switzerland
1:55-2:15 Application of Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear Parametric SystemsHarbir Antil, George Mason University,
USA
2:20-2:40 Reduced Basis Method for Hamilton-Jacobi-Bellman EquationsSebastian Steck and Karsten Urban,
University of Ulm, Germany
2:45-3:05 HJB-POD Feedback Control for Advection-Diffusion EquationsAlessandro Alla and Michael Hinze,
University of Hamburg, Germany
Monday, March 16
MS173Hybrid and Multilevel Approaches to Kinetic Equations - Part II of IV1:30 PM-3:10 PMRoom:150 AB
For Part 1 see MS147 For Part 3 see MS199 In recent years, a significant amount of effort has been directed to solving kinetic equations. Generally, kinetic equations have posed a challenge due to the large phase space associated with the equations, however algorithmic advances and advances in computer hardware have made these simulations more tractable. In this minisymposium, we consider hybrid and multilevel approaches to solving kinetic equations.
Organizer: Jeffrey A. WillertLos Alamos National Laboratory, USA
Organizer: Cory HauckOak Ridge National Laboratory, USA
Organizer: Ryan G. McClarrenTexas A&M University, USA
Organizer: Martin FrankRWTH - Aachen University of Technology, Germany
Organizer: Jingmei QiuUniversity of Houston, USA
1:30-1:50 A Deterministic-Particle Transport Solver for Scale-Bridging Simulation of Thermal Radiative TransferHyeongkae Park, Los Alamos National
Laboratory, USA
1:55-2:15 Practical Numerical Methods for Solving the Boltzmann Transport Equation in Nuclear Reactor AnalysisRodolfo Ferrer, Studsvik Scandpower, Inc.,
USA
2:20-2:40 A Hierarchy of Hybrid Numerical Methods for Multi-Scale Kinetic EquationsThomas Rey, University of Lille, France;
Francis Filbet, University of Lyon 1, France
2:45-3:05 On a New Class of Semi-Lagrangian Schemes for Kinetic EquationsGiacomo Dimarco, Università degli Studi di
Ferrara, Italy
2015 SIAM Conference on Computational Science and Engineering 109
2:20-2:40 ScalFMM: A Generic Parallel Fast Multipole LibraryPierre Blanchard, Berenger Bramas, and
Olivier Coulaud, INRIA, France; Eric F. Darve, Stanford University, USA; Laurent Dupuy, CEA Saclay, France; Arnaud Etcheverry, INRIA, France; Guillaume Sylvand, Airbus Operation S.A.S., France
2:45-3:05 PVFMM: A Parallel Fast Multipole Method for Volume PotentialsDhairya Malhotra and George Biros,
University of Texas at Austin, USA
Monday, March 16
MS177Software Components for Integral Equation Methods - Part II of IV1:30 PM-3:10 PMRoom:260 A
For Part 1 see MS151 For Part 3 see MS203 Due to recent advances in the underlying technology, integral equations have become highly competitive in attacking the most challenging of elliptic, globally-coupled PDE problems. However, compared to a standard off-the-shelf finite element methods, a larger amount of machinery is involved, including fast algorithms, preconditioners, and singular quadrature methods. To make this theoretically attractive family of methods practically usable, many of these components need to be readily available in software form. This minisymposium seeks to bring together practitioners and researchers with the goal of encouraging exchange of ideas and discovering opportunities for collaboration in this direction.
Organizer: Timo BetckeUniversity College London, United Kingdom
Organizer: Andreas KloecknerUniversity of Illinois, USA
1:30-1:50 ExaFMM -- a Testbed for Comparing Various Implementations of the FMMRio Yokota and David E. Keyes, King
Abdullah University of Science & Technology (KAUST), Saudi Arabia; Lorena A. Barba, George Washington University, USA
1:55-2:15 Robust Implementation of Quadrature by Expansion (QBX)Manas Rachh, Courant Institute of
Mathematical Sciences, New York University, USA; Leslie Greengard, Simons Foundation and Courant Institute of Mathematical Sciences, New York University, USA; Michael O’Neil, New York University, USA; Andreas Kloeckner, University of Illinois, USA
Monday, March 16
MS176High-Order Methods for Computational Fluid Dynamics - Part IV of IV1:30 PM-3:10 PMRoom:259
For Part 3 see MS150 Novel contributions in the field of high-order numerical methods for computational fluid dynamics. Presentations will explore new high-order methods, benchmarking of existing schemes, and applications to turbulent flow problems.
Organizer: Brian C. VermeireImperial College London, United Kingdom
Organizer: Antony JamesonStanford University, USA
Organizer: Peter E. VincentImperial College London, United Kingdom
1:30-1:50 Active Fluxes; A New High-Order ParadigmPhilip L. Roe, University of Michigan, USA
1:55-2:15 Superconvergent HDG Methods with Symmetric Stress Approximations for Stokes Flow (and Linear Elasticity)Bernardo Cockburn, University of
Minnesota, Minneapolis, USA; Guosheng Fu, University of Minnesota, USA
2:20-2:40 Riemann-Solver-Free Space Time Discontinuous Galerkin Method for General Conservation LawsShuang Z. Tu, Jackson State University, USA
2:45-3:05 Aerodynamic Simulations Using a High-Order Discontinuous Galerkin SolverMichael Brazell and Dimitri Mavriplis,
University of Wyoming, USA
continued in next column
110 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
MS180Novel Spectral Approximation: Theory, Algorithms and Applications - Part II of II1:30 PM-3:10 PMRoom:151 DE
For Part 1 see MS154 Spectral and high-order methods traditionally offer high-accuracy computational results in scientific computing. Yet, recent research focuses on very different and compelling advantages for applications. These include low dispersion for wave propagation problems, near-minimal degrees of freedom for oscillatory problems and great flexibility in dealing with complicated geometries. The goal of this minisymposium is to present an overview of such contemporary research topics. Methods of recent interest include Fourier extensions or continuations, radial basis functions and redundant frame discretizations. Challenges involve obtaining fast transforms and well-conditioned discretizations, or overcoming ill-conditioning in methods involving redundancy. The focus ranges from theory to applications.
Organizer: Daan HuybrechsKatholieke Universiteit Leuven, Belgium
1:30-1:50 Gaussian-Localized Polynomial Interpolation (Hermite Function Interpolation) on a Finite Interval: Are Spectrally-Accurate Rbfs Obsolete?John P. Boyd, University of Michigan, Ann
Arbor, USA
1:55-2:15 A Windowed Fourier Method for Computations on the SphereRodrigo B. Platte, Arizona State University,
USA
2:20-2:40 A Fast and Well-Conditioned Spectral MethodAlex Townsend, University of Oxford,
United Kingdom
2:45-3:05 Automatic Multivariate ApproximationTobin Driscoll, University of Delaware, USA
Monday, March 16
MS179Large-Scale Optimization and Applications1:30 PM-3:10 PMRoom:151 AB
We present recent advances in the solution and modeling of large-scale optimization problem from a broad range of applications including discrete design problems, compressed sensing approaches, and more general methods for nonconvex optimization with special emphasis on scalage approaches.
Organizer: Sven LeyfferArgonne National Laboratory, USA
1:30-1:50 Augmented Lagrangian Methods for Large-Scale Nonlinear OptimizationSven Leyffer, Argonne National Laboratory,
USA
1:55-2:15 Convexification Methods for Sequential Quadratic ProgrammingElizabeth Wong, University of California,
San Diego, USA
2:20-2:40 Primal-Dual Newton Conjugate Gradients for Compressed Sensing Problems with Coherent and Redundant DictionariesKimon Fountoulakis, University of
Edinburgh, United Kingdom
2:45-3:05 Column Generation Techniques for Large Mixed-Integer ProgramsFu Lin, Argonne National Laboratory, USA
Monday, March 16
MS178Recent Advances in a Posteriori Error Estimations and Adaptive Methods - Part II of II1:30 PM-3:10 PMRoom:260 B
For Part 1 see MS152 Self-adaptive numerical methods provide a powerful and automatic approach in scientific computing. In particular, Adaptive Mesh Refinement (AMR) algorithms have been widely used in computational science and engineering and have become a necessary tool in computer simulations of complex natural and engineering problems. The key ingredient for success of self-adaptive numerical methods is a posteriori error estimates that are able to accurately locate sources of global and local error in the current approximation. Talks in this minisymposium will cover some recent advances in the development and analysis of both a posteriori estimators and (convergent) adaptive schemes, as well as indicate directions of future research
Organizer: Zhiqiang CaiPurdue University, USA
Organizer: Shun ZhangCity University of Hong Kong, Hong Kong
1:30-1:50 A Posteriori Error Estimation in the Maximum Norm for Finite Element MethodsAlan Demlow, Texas A&M University, USA
1:55-2:15 A PDE Approach to Fractional Diffusion: a Posteriori Error AnalysisAbner J. Salgado, University of Tennessee,
USA
2:20-2:40 Robust Residual-Based a Posteriori Error Estimation for Interface Problems: Nonconforming ElementsCuiyu He and Zhiqiang Cai, Purdue
University, USA; Shun Zhang, City University of Hong Kong, Hong Kong
2:45-3:05 Robust a Priori and a Posteriori Error Estimates for Diffusion Problems with Discontinuous CoefficientsShun Zhang, City University of Hong Kong,
Hong Kong
2015 SIAM Conference on Computational Science and Engineering 111
Multiple Solutions in Curved-Pipe FlowHarsh Ranjan, Indian Institute of
Technology Guwahati, India
Cooperation and Efficiency in Sperm Motility PatternsOwen Richfield, Paul Cripe, and Julie
Simons, Tulane University, USA
Efficient Simulation of Fluid-Structure Interactions Modeled by Regularized Stokes Formulation Using Kernel-Independent Fast Multipole MethodMinghao W. Rostami and Sarah D. Olson,
Worcester Polytechnic Institute, USA
Scalable Parallel Solvers for Highly Heterogeneous Nonlinear Stokes Flow Discretized with Adaptive High-Order Finite ElementJohann Rudi and Toby Isaac, University
of Texas at Austin, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Michael Gurnis, California Institute of Technology, USA; Omar Ghattas, University of Texas at Austin, USA
Discrete Adjoint Openfoam and ApplicationsArindam Sen, Markus Towara, and Uwe
Naumann, RWTH Aachen University, Germany
Strategy for Efficiently Simulating Reactive Flows with Large Detailed Chemical KineticsHiroshi Terashima, University of Tokyo,
Japan; Youhi Morii, Japan Aerospace Exploration Agency, Japan; Mitsuo Koshi, Yokohama National University, Japan
Improving the Method of Regularized StokesletsTerese Thompson, Karin Leiderman, and
Hoang-Ngan Nguyen, University of California, Merced, USA
An Exact and Consistent Adjoint Method for High-Fidelity Unsteady Compressible Flow SimulationsRamanathan Vishnampet, Daniel J. Bodony,
and Jonathan B. Freund, University of Illinois at Urbana-Champaign, USA
Periodic Stokes Flow in 2 Dimensional SpaceLin Zhao, Dartmouth College, USA; Alex H.
Barnett, Dartmouth College and Simons Foundation, USA
Monday, March 16
Poster Blitz3:10 PM-4:30 PMRoom:355
Monday Poster Session & ReceptionPP9Computational Fluid Dynamics4:30 PM-6:30 PMRoom:255
A Synchronized Co-Volume Scheme for the Large-Scale Shallow Water EquationsQingshan Chen, Clemson University, USA
Physics-Based Preconditioning and Dual Timestepping for Stiff Combustion Problems with Detailed Chemical MechanismsMichael A. Hansen, University of Utah, USA
Rods with Bend and Twist in a Brinkman FluidNguyenho Ho and Sarah D. Olson, Worcester
Polytechnic Institute, USA
Discrete Exterior Calculus Solution of Incompressible FlowsMamdouh S. Mohamed and Sudantha
Balage, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Anil Hirani, University of Illinois at Urbana-Champaign, USA; Ravi Samtaney, King Abdullah University of Science & Technology (KAUST), Saudi Arabia
Adaptive Wavelet Simulation for Weakly Compressible Flow Bounded by Solid Walls of Arbitrary ShapeNaoya Okamoto, Nagoya University, Japan;
Margarete Domingues, Instituto Nacional de Pesquisa Espaciais, Brazil; Katsunori Yoshimatsu, Nagoya University, Japan; Kai Schneider, Aix-Marseille Université, France
Monday, March 16
MS181Large Scale Computing in the Geosciences - Part II of II1:30 PM-3:10 PMRoom:151 G
For Part 1 see MS155 Advances in scientific computing (new algorithms, open-source software, high performance computing) have made it possible to solve larger and larger problems. These advances are especially advantageous in the geosciences, where typical problems are time-dependent and three-dimensional with little or no symmetry and with important dynamics at multiple scales. Geoscientists are increasingly relying on cutting-edge software and algorithms to advance the understanding of planet Earth. This minisymposium brings together geophysicists, mathematicians, and computer scientists to discuss the latest developments at the intersection of these fields.
Organizer: Sander RhebergenUniversity of Oxford, United Kingdom
Organizer: Andrew J. WathenUniversity of Oxford, United Kingdom
Organizer: Richard F. KatzUniversity of Oxford, United Kingdom
1:30-1:50 Multi-Scale Modelling of Granular AvalanchesAnthony R. Thornton, University of Twente,
Netherlands
1:55-2:15 Scalable Nonlinear Solvers for Magma DynamicsMatthew G. Knepley, University of Chicago,
USA; Richard F. Katz, University of Oxford, United Kingdom
2:20-2:40 A Generic Nonlinear Solver for Geophysical InversionsMichele De Stefano, Federico Golfré
Andreasi, and Alberto Secchi, Schlumberger Geosolutions, Italy
2:45-3:05 Recent Advances in Numerical Modelling of Thermo-Chemically Coupled Two-Phase FlowTobias Keller, University of Oxford, United
Kingdom
continued in next column
112 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
PP11Linear Algebra and Data Analysis4:30 PM-6:30 PMRoom:255
Using Non-Authoritative Crowdsourced Data to Augment Remote Sensing Data for the Fukushima Diachii Nuclear IncidentMark Coletti and Guido Cervone,
Pennsylvania State University, USA; Rebecca Goolsby, Office of Naval Research, USA
The Sparse Grid Combination Technique for Solving Eigenvalue ProblemsChristoph Kowitz, Technische Universität
München, Germany; Markus Hegland, Australian National University, Canberra, Australia; Hans-Joachim Bungartz, Technische Universität München, Germany
A Tangential Interpolation Framework for MIMO Eigensystem Realization AlgorithmBoris Kramer and Serkan Gugercin, Virginia
Tech, USA
Multi-Set Data Analysis and Simultaneous Matrix Block Diagonalization: Models and AlgorithmsDana Lahat and Christian Jutten, Gipsa-Lab,
France
Overcoming the Gibbs Phenomenon: Fast Fourier ExtensionRoel Matthysen, Katholieke Universiteit
Leuven, Belgium
Big Graph Analytics of Human Connectome NetworksJürgen Ommen, Chih Lai, and Yulin Yang,
University of St. Thomas, USA
Componentwise Sensitivity of Matrix Functions and ApplicationsSamuel Relton, University of Manchester,
United Kingdom
Domain MethodYoshiharu Ohi, RIKEN, Japan; Yoshihisa
Fujita, Nagoya University, Japan; Taku Itoh and Soichiro Ikuno, Tokyo University of Technology, Japan
Asymptotics of High-Frequency Scattering ProblemsPeter Opsomer and Daan Huybrechs,
Katholieke Universiteit Leuven, Belgium
Accurate Derivative Computation for Finite Element CodesLee F. Ricketson, Courant Institute of
Mathematical Sciences, New York University, USA; Antoine Cerfon, New York University, USA; Manas Rachh, Courant Institute of Mathematical Sciences, New York University, USA
Comparison of Weak Galerkin Finite Element Method with Dgfem and MfemFarrah Sadre-Marandi, Colorado State
University, USA
A Weighted Sequential Splitting Method for the 3D Maxwell’s EquationsPuttha Sakkaplangkul, Oregon State
University, USA
A Numerical Solution to Boundary Value Problem and Volterra Integral Equations ( Linear and NonLinear)Hamid Semiyari, James Madison University,
USA
Adaptive Multigrid Methods for An Integrated Structural Health Monitoring (SHM) Systems for Composite Material with Fluid-Structure Interaction (FSI) EffectBhuiyan Shameem M. Ebna Hai and Markus
Bause, Helmut-Schmidt-Universitaet Hamburg, Germany
Asymptotically Compatible Schemes for Robust Discretization of Nonlocal ModelsQiang Du and Xiaochuan Tian, Columbia
University, USA
An Adaptive Multiscale Method for Numerical HomogenizationJack Urombo, Harare Institute of
Technology, Zimbabwe
Monday, March 16
PP10Numerical PDEs4:30 PM-6:30 PMRoom:255
Etd Spectral Deferred Correction MethodsTommaso Buvoli, University of Washington,
USA
Reducing the Impact of the Cfl Condition for Dispersive Wave Propagation ProblemsAllan P. Engsig-Karup, Technical University
of Denmark, Denmark; Claes Eskilsson, Chalmers University of Technology, Sweden
Spectre: An Adaptive, Parallel Discontinuous Galerkin Based Code for Relativistic AstrophysicsScott Field and Lawrence Kidder, Cornell
University, USA; Jonas Lippuner and Mark Scheel, California Institute of Technology, USA; Saul Teukolsky, Cornell University, USA
Explicit Strong Strong Stability Preserving Multi Step Runge-Kutta MethodsZachary J. Grant, University of
Massachusetts, Dartmouth, USA
Robust Residual-Based A Posteriori Error Estimate for Interface Problems: Nonconforming Linear ElementsCuiyu He and Zhiqiang Cai, Purdue
University, USA; Shun Zhang, City University of Hong Kong, Hong Kong
Monolithic Multi-Time-Step Coupling Methods for First and Second-Order Transient SystemsSaeid Karimi and Kalyana Nakshatrala,
University of Houston, USA
Total Order Function Space Spectral Collocation Methods Using the Padua PointsScott Moe, University of Washington, USA
Numerical Investigation of Influence of Node Alignment on Stable Calculation for Meshless Time
continued on next pagecontinued in next column
2015 SIAM Conference on Computational Science and Engineering 113
Monday, March 16
PP13Statistical Methods and Uncertainty Quantification4:30 PM-6:30 PMRoom:255
Decomposition-Based Uncertainty Quantification with Application to Environmental Impacts of AviationSergio Amaral, Massachusetts Institute of
Technology, USA
The Combined Block by Block - Monte Carlo Methods for Numerical Treatment of the Mixed Nonlinear Stochastic Integral EquationAbdallah A. Badr, University of Business
and Technology, Jeddah, Saudi Arabia
Computational Investigation of Quasi-Random Sequences for Error EstimationHongmei Chi, Florida A & M University,
USA
Optimal Source Encoding in Medium Parameter Reconstruction ProblemsBenjamin Crestel and Omar Ghattas,
University of Texas at Austin, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA
Randomized Likelihood Method: A Scalable Approach to Big Data in Large-Scale Pde-Constrained Bayesian Inverse ProblemsAaron Myers, Tan Bui-Thanh, and Ellen Le,
University of Texas at Austin, USA
MUQ (MIT Uncertainty Quantification): Flexible Software for Connecting Algorithms and ApplicationsMatthew Parno, Patrick R. Conrad,
Andrew Davis, and Youssef M. Marzouk, Massachusetts Institute of Technology, USA
A Stochastic Dynamic Programming Method for Controlling a Combined Hydro/Wind Power ProducerKyle Perline, Cornell University, USA
Monday, March 16
PP12Biomedical Applications4:30 PM-6:30 PMRoom:255
The Modified Bidomain Model with Periodic Diffusive InclusionsAndjela Davidovic, INRIA Bordeaux Sud-
Ouest, France; Yves Coudiere, Université Bordeaux I, France; Clair Poignard, INRIA Bordeaux Sud-Ouest, France
Simulation-Based Solute Transport in Kidney CellsMonica Nadal-Quiros and Aniel Nieves-
Gonzalez, University of Puerto Rico, Puerto Rico; Leon Moore, State University of New York Health Science Center at Brooklyn, USA; Mariano Marcano, University of Puerto Rico, Puerto Rico
Magnetic Nanoparticle Stochastic Dynamics for Biomedical ApplicationsDaniel B. Reeves and John Weaver,
Dartmouth College, USA
An Adaptive Markov Chain Monte Carlo Method Applied to Simulation of a Tumor Growth ModelQing Wang and Zhijun Wang, Shepherd
University, USA; David Klinke, West Virginia University, USA
“Allostery”: A Python Package for Network Analyses of Biomolecular SimulationsYuhang Wang and Emad Tajkhorshid,
University of Illinois at Urbana-Champaign, USA
Numerical Simulation of a Tumor Cell Population Growth Dynamics Model Using Genetic AlgorithmZhijun Wang and Qing Wang, Shepherd
University, USA
Numerical Methods for Protein Adsorption in Porous MembranesAnastasia B. Wilson, Clemson University,
USA
Modeling Core Body Temperature during ExerciseYeonjoo Yoo, Indiana University - Purdue
University Indianapolis, USA
Ensemble Kalman Filters for Dynamic Dipole Estimation from MagnetoencephalographyLijun Yu, Daniela Calvetti, and Erkki
Somersalo, Case Western Reserve University, USA
Inducing Approximately Optimal Flow Via Truthful MediatorsRyan M. Rogers and Aaron Roth, University
of Pennsylvania, USA; Jonathan Ullman, Columbia University, USA; Steven Wu, University of Pennsylvania, USA
Security in Data Mining Through Cloud Computing Using Expert SystemAna Sadeghitohidi and Azadeh Roozbehi,
Azad Tehran University, Iran
Big Data Analytics Application in Genomics Data ProcessingS Srinivasan, Hector Miranda, Daniel
Vrinceanu, and Terence Vaughn, Texas Southern University, USA
Generalized Low Rank ModelsMadeleine R. Udell, Corinne Horn, Reza
Zadeh, and Stephen Boyd, Stanford University, USA
A Structured Cholesky Factorization for Fock Matrix ConstructionJoseph Vokt and Edmond Chow, Georgia
Institute of Technology, USA
Parallel Bayesian Global Optimization, With Application To Metrics Optimization at YelpJialei Wang and Peter I. Frazier, Cornell
University, USA; Scott Clark and Eric Liu, Yelp Inc., USA
continued on next page
114 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
PP14CSE Methods4:30 PM-6:30 PMRoom:255
Visualising Protein Sequence AlignmentShaimaa M. Aljuhani, Al-Imam Muhammad
bin Saud University, Saudi Arabia; Prof. Teresa Attwood, University of Manchester, United Kingdom; Dr. Tony Shardlow, University of Bath, United Kingdom
Reconstructing Physically Realistic Flow Fields from Sparse Experimental DataIliass Azijli, Richard Dwight, Jan Schneiders,
and Hester Bijl, Delft University of Technology, Netherlands
Parallel-in-Time Integration with Pfasst++Torbjörn Klatt and Robert Speck, Jülich
Supercomputing Centre, Germany; Mathias Winkel and Daniel Ruprecht, Universita’ della Svizzera Italiana, Italy; Matthew Emmett, Lawrence Berkeley National Laboratory, USA
An Optimization-Based Approach Toward Elastoplasticity: Introducing a Projected Newton AlgorithmZahra S. Lotfian and Mettupalayam
Sivaselvan, State University of New York at Buffalo, USA
Redesigning Laser-Plasma Simulations to Optimize the Use of Limited Memory BandwidthEileen R. Martin, Stanford University,
USA; Steve Langer, Lawrence Livermore National Laboratory, USA
Parallel Numerics for Partitioned Multiphysics CouplingMiriam Mehl, Universität Stuttgart,
Germany; Benjamin Uekermann, Technische Universität München, Germany; Florian Lindner, Universität Stuttgart, Germany
Applied Math and Cs R&D on Doe Leadership Computing FacilitiesPaul C. Messina, Argonne National
Laboratory, USA
Optimization of Modeled Land Surface Fluxes by Bayesian Parameter CalibrationTony E. Wong, David Noone, and William
Kleiber, University of Colorado Boulder, USA
Monte Carlo Sampling of the Aggregation of Lattice Biopolymers in MembraneYuanwei Xu and Mark Rodger, University of
Warwick, United Kingdom
Monday, March 16
PP13Statistical Methods and Uncertainty Quantification4:30 PM-6:30 PMcontinued
Efficient Error Estimation for Elliptic PDEs with Random DataCatherine Powell, University of Manchester,
United Kingdom; Alex Bespalov, University of Birmingham, United Kingdom; David Silvester, University of Manchester, United Kingdom
Inference of Constitutive Parameters in a Nonlinear Stokes Mantle Flow ModelVishagan Ratnaswamy, California Institute
of Technology, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Michael Gurnis, California Institute of Technology, USA; Omar Ghattas, University of Texas at Austin, USA
Uncertainty Quantification for Thermally Driven FlowSebastian Ullmann and Lang Jens, TU
Darmstadt, Germany
Computational and Statistical Tradeoffs: a FrameworkAlexander Volfovsky, Edoardo Airoldi, and
Daniel Sussman, Harvard University, USA
Efficiency of the Girsanov Transformation Approach for Parametric Sensitivity Analysis of Stochastic Chemical KineticsTing Wang and Muruhan Rathinam,
University of Maryland, Baltimore County, USA
Convergence of the Robbins-Monro Algorithm in Infinite Dimensional Hilbert SpacesDaniel Watkins and Gideon Simpson, Drexel
University, USA
Utilizing Adjoint-Based Techniques to Effectively Perform Uq on Discontinuous ResponsesTim Wildey, Eric C. Cyr, and John Shadid,
Sandia National Laboratories, USA
continued on next pagecontinued in next column
2015 SIAM Conference on Computational Science and Engineering 115
Monday, March 16
PP15CSE Applications4:30 PM-6:30 PMRoom:255
Using Radar Imagery Data to Invert for Maritime EnvironmentsVasileios Fountoulakis and Christopher J.
Earls, Cornell University, USA
Thermal Imaging of Sub-Pixel Cracks Through Metal PlatesAndrew Loeb and Christopher Earls, Cornell
University, USA
Numerical Simulation of Ni Grain Growth in a Thermal GradientJohn A. Mitchell and Veena Tikare, Sandia
National Laboratories, USA
Supply Chain DisruptionsThomas Morrisey and Ravi Prasad, Infosys,
USA
Computational and Experimental Analysis of Dental Implants under Different Loading Conditions and LocationsEmre Ozyilmaz, Eda Ozyilmaz, and Halil
Aykul, Hitit University, Turkey; Mehmet Dalkiz, Mustafa Kemal University, Turkey; Ahmet Cini, Hitit University, Turkey
Math Projects with Tracker Video AnalysisEuguenia Peterson, Richard J. Daley
College, USA
Investigation of Numerical Models for New High Temperature SuperconductorsChad Sockwell, Florida State University,
USA
Characterization of Ternary Eutectic Solidification Patterns from Phase-Field Simulations and Experimental MicrographsPhilipp Steinmetz, Karlsruhe Institute of
Technology, Germany; Johannes Hötzer, Hochschule Karlsruhe Technik und Wirtschaft, Germany; Marcus Jainta and Britta Nestler, Karlsruhe Institute of Technology, Germany; Yuksel Yabansu and Surya Kalidindi, Georgia Institute of Technology, USA
Analyzing and Classifying “Two-Cycles” of Trigonometric Functions in Newton’s MethodMorgan Rupard and Jennifer Switkes,
California Polytechnic State University, Pomona, USA
Orbital Localization in MadnessBryan E. Sundahl, Stony Brook University,
USA; Robert Harrison, Brookhaven National Laboratory, USA; Scott Thornton, Stony Brook University, USA
Assessing Artifacts: Segmentation of Damaged ImagesNick Takaki, Carnegie Mellon University,
USA
Analysis of Anderson Acceleration for Coupled Neutronic and Thermal Hydraulic Calculations in a Light Water ReactorAlexander R. Toth and C.T. Kelley, North
Carolina State University, USA; Stuart Slattery, Steven Hamilton, and Kevin Clarno, Oak Ridge National Laboratory, USA; Roger Pawlowski, Sandia National Laboratories, USA
The Rapid Optimization Library (rol) in TrilinosBart G. Van Bloemen Waanders, Drew P.
Kouri, and Denis Ridzal, Sandia National Laboratories, USA
Integrating Software Tools to Parallel Adaptive Simulations of Fusion Plasma in TokamaksFan Zhang, Mark S. Shephard, and E.
Seegyoung Seol, Rensselaer Polytechnic Institute, USA
Simple Yet Fast Integration Method Using Qss for Stiff Chemical Kinetic OdesYouhi Morii, Japan Aerospace Exploration
Agency, Japan; Hiroshi Terashima, University of Tokyo, Japan; Mitsuo Koshi, Yokohama National University, Japan; Taro Shimizu and Eiji Shima, Japan Aerospace Exploration Agency, Japan
PtychoLib: Parallel Ptychographic ReconstructionYoussef Nashed, David Vine, and Tom
Peterka, Argonne National Laboratory, USA; Junjing Deng, Northwestern University, USA; Rob Ross and Chris Jacobsen, Argonne National Laboratory, USA
Efficient Numerical Algorithm for Virtual Design in NanoplasmonicsAlexandra Ortan, University of Minnesota,
USA
Model-Reduction for Closed-Loop Control of Unsteady Flows Using Plasma ActuatorsLaura Pasquale, Paul Houston, and Pericle
Zanchetta, University of Nottingham, United Kingdom
Moving Pictures: Animating Still ImagesMichael Pilosov, University of Colorado,
Denver, USA
Bridging Multiple Structural Scales with a Generalized Finite Element MethodJulia A. Plews and C. Armando Duarte,
University of Illinois at Urbana-Champaign, USA
A Parallelization Strategy for Large-Scale Vibronic Coupling CalculationsScott Rabidoux, Victor Eijkhout, and John
Stanton, University of Texas at Austin, USA
Some Numerical Methods for Modified Bessel FunctionsJuri M. Rappoport, Russian Academy of
Sciences, Russia
Oof: An Object-Oriented Finite-Element Solver for Materials ScienceAndrew Reid and Stephen Langer, National
Institute of Standards and Technology, USA
continued on next pagecontinued in next column
116 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
PP202Minisymposterium -- Advanced Discretizations for Complex Applications4:30 PM-6:30 PMRoom:255
Organizers: Gianmarco Manzini, Los Alamos National Laboratory, USA
Konstantin Lipnikov, Los Alamos National Laboratory, USA
Compatible Discrete Operator Schemes for Advection-Diffusion EquationsPierre Cantin and Alexandre Ern, Université
Paris-Est, France; Jérome Bonelle, EDF, France
Upwinding in the Mimetic Finite Difference Method for Richards’ EquationKonstantin Lipnikov, Los Alamos National
Laboratory, USA
The Virtual Element MethodGianmarco Manzini, Los Alamos National
Laboratory, USA
Virtual Element Methods for Convection-Diffusion ProblemsOliver Sutton and Andrea Cangiani,
University of Leicester, United Kingdom; Gianmarco Manzini, Los Alamos National Laboratory, USA; Alessandro Russo, Milano University, Italy
Monday, March 16
PP201Minisymposterium -- A Mathematical Environment for Quantifying Uncertainty: Integrated and Optimized at the eXtreme scale (EQUINOX)4:30 PM-6:30 PMRoom:255
Organizer: Clayton G. Webster, Oak Ridge National Laboratory, USA
Forward Backward Doubly Stochastic Differential Equations and Applications to The Optimal Filtering ProblemFeng Bao, Oak Ridge National Laboratory,
USA; Yanzhao Cao, Auburn University, USA; Clayton G. Webster and Guannan Zhang, Oak Ridge National Laboratory, USA
Embedded Sampling-Based Uncertainty Quantification Approaches for Emerging Computer ArchitecturesEric Phipps, Marta D’Elia, H. Carter
Edwards, Jonathan J. Hu, and Siva Rajamanickam, Sandia National Laboratories, USA
A Unified Framework for Uncertainty and Sensitivity Analysis of Computational Models with Many Input ParametersLi Gu and C. F. Jeff Wu, Georgia Institute of
Technology, USA
Florida State University Efforts Withing the Equinox ProjectMax Gunzburger, Florida State University,
USA
A Mathematical Environment for Quantifying Uncertainty: Integrated and Optimized at the EXtreme Scale (equinox)Clayton G. Webster, Oak Ridge National
Laboratory, USA
Hierarchical Acceleration of Multilevel Methods for Pdes with Random Input DataGuannan Zhang, Oak Ridge National
Laboratory, USA
Monday, March 16
PP15CSE Applications4:30 PM-6:30 PMcontinued
Numerical Realization of An Open Pit Mine Planning ProblemNikolai Strogies and Andreas Griewank,
Humboldt University Berlin, Germany
Multidisciplinary Development of An Autonomous Underwater Vehicle: Cooperative Fleet for Surveillance MissionCi Wen, Stacey Joseph-Ellison, Junzhen
Shao, Qi Zhou, Jonathan Jaworski, and Zakaria Daud, Embry-Riddle Aeronautical University, USA
Towards Real-Time Blob-Filaments Detection in Fusion PlasmaLingfei Wu, College of William & Mary,
USA; Kesheng Wu and Alex Sim, Lawrence Berkeley National Laboratory, USA; Andreas Stathopoulos, College of William & Mary, USA
2015 SIAM Conference on Computational Science and Engineering 117
Composability in PetscMatthew G. Knepley, University of Chicago,
USA; Jed Brown, Argonne National Laboratory, USA and University of Colorado Boulder, USA
FenicsAnders Logg, Chalmers University of
Technology, Sweden
Sigma: Scalable Interface for Geometry and Mesh Based ApplicationsVijay Mahadevan, Iulian Grindeanu, Rajeev
Jain, Navamita Ray, and Danqing Wu, Argonne National Laboratory, USA; Paul Wilson, University of Wisconsin, Madison, USA
Dune - The Distributed and Unified Numerics EnvironmentSteffen Müthing, Heidelberg University,
Germany
ElementalJack L. Poulson, Stanford University, USA
Jupyter Widgets: Interactive Computing Through the Browser in Any Programming LanguageMin Ragan-Kelley and Fernando Perez,
University of California, Berkeley, USA
Camellia: A Software Framework for Discontinuous Petrov-Galerkin MethodsNathan Roberts, Argonne National
Laboratory, USA
ViennaCL - Fast Linear Algebra for Multi and Many-Core ArchitecturesKarl Rupp, Philippe Tillet, Toby St Clere
Smithe, Namik Karovic, Josef Weinbub, and Florian Rudolf, Vienna University of Technology, Austria
Monday, March 16
PP204Minisymposterium -- CSE Software4:30 PM-6:30 PMRoom:255
Organizers: Anders Logg, Chalmers University of Technology, Sweden
ChebfunAnthony Austin, University of Oxford,
United Kingdom
Feel++: A Versatile High Performance Finite Element Embedded Library into C++Vincent Chabannes, Université de Grenoble
I, France
Dolfin-AdjointSimon W. Funke and Marie E. Rognes,
Simula Research Laboratory, Norway; Patrick E. Farrell, University of Oxford, United Kingdom; David Ham, Imperial College London, United Kingdom
Building Performance Transportable Codes for Extreme ScaleWilliam D. Gropp, University of Illinois at
Urbana-Champaign, USA
Firedrake: Automating Finite Element by Composing AbstractionsDavid Ham, Florian Rathgeber, Lawrence
Mitchell, Michael Lange, Andrew McRae, Gheorghe-Teodor Bercea, Fabio Luporini, and Paul Kelly, Imperial College London, United Kingdom
The DEAL.II Finite Element LibraryTimo Heister, Clemson University, USA;
Wolfgang Bangerth, Texas A&M University, USA; Guido Kanschat and Matthias Maier, Universität Heidelberg, Germany
An Overview of the Trilinos ProjectMichael Heroux, Sandia National
Laboratories, USA
FEniCS High Performance Computing with Applications in Aerodynamics, Environmental Science and BiomedicineJohan Hoffman, Royal Institute of
Technology, Stockholm, Sweden
EMatter: A Materials Simulation Framework As a ServiceDmitry A. Karpeyev, University of Chicago,
USA
Monday, March 16
PP203Minisymposterium -- Advances in Numerical Methods for Interface Problems4:30 PM-6:30 PMRoom:255
Organizers; Pavel Bochev, Sandia National Laboratories, USA
Christopher Siefert, Sandia National Laboratories, USA
Optimal Control for Mass Conservative Level Set MethodsChristopher Basting and Dmitri Kuzmin,
Technische Universität Dortmund, Germany
A New Partitioned Algorithm for Explicit Elastodynamics Based on Variational Flux RecoveryPavel Bochev and Paul Kuberry, Sandia
National Laboratories, USA
Analysis of a Fluid-Structure Interaction Problem Decoupled by Optimal ControlPaul A. Kuberry and Hyesuk Lee, Clemson
University, USA
Feature-Preserving Finite Element Transport Across Interfaces: Part 1, Optimization-Based TransportDenis Ridzal, Kara Peterson, and Pavel
Bochev, Sandia National Laboratories, USA
Feature-Preserving Finite Element Transport Across Interfaces: Part 2, Direct Flux RecoveryKara Peterson, Pavel Bochev, and Denis
Ridzal, Sandia National Laboratories, USA
Higher Order Finite Element Methods for Interface ProblemsManuel A. Sanchez-Uribe, Brown University,
USA
Extended and Conformal Decomposition Finite Elements for 3D Compatible DiscretizationsChristopher Siefert, Richard Kramer,
Pavel Bochev, and Thomas Voth, Sandia National Laboratories, USA
continued in next column
118 2015 SIAM Conference on Computational Science and Engineering
Monday, March 16
PP207Minisymposterium -- Mixed Finite Element Methods4:30 PM-6:30 PMRoom:255
Organizer: Douglas N. Arnold, University of Minnesota, USA
The Periodic Table of the Finite ElementsDouglas N. Arnold, University of Minnesota,
USA; Anders Logg, Chalmers University of Technology, Sweden
Convolution-Translation and Bounded Cochain Projections for the Elasticity ComplexGerard Awanou, Northern Illinois
University, USA
What is a Good Linear Finite Element... On a Generic Polytope?Andrew Gillette, University of Arizona,
USA; Alexander Rand, CD-adapco, USA
Superconvergence of Nonconforming Fems Based Mixed FemsJun Hu, Peking University, China
Stokes Elements on Cubic Meshes Yielding Divergence-Free ApproximationsMichael J. Neilan and Duygu Sap,
University of Pittsburgh, USA
Weak Galerkin Finite Element MethodsJunping Wang, National Science Foundation,
USA; Chunmei Wang, Georgia Institute of Technology, USA; Xiu Ye, University of Arkansas at Little Rock, USA
Monday, March 16
PP206Minisymposterium -- Massively Parallel Multiphysics Simulations Within the Uintah Computational Framework4:30 PM-6:30 PMRoom:255
Organizer: James C. Sutherland, University of Utah, USA
Parallel Petascale Modeling of Transportation Accidents Involving High ExplosivesJacqueline Beckvermit, Andrew Bezdjian,
Todd Harman, John A. Schmidt, and Martin Berzins, University of Utah, USA; Chuck Wight, Weber State University, USA
Using Uintah:mpmice for High Resolution Urban Flow StudiesArash Nemati Hayati, Rob Stoll, Todd
Harman, and Eric Pardyjak, University of Utah, USA
Radiation Modeling Using Reverse Monte Carlo Ray Tracing Within the Uintah FrameworkAlan Humphrey, University of Utah, USA
Wasatch: A CPU/GPU-Ready Multiphysics Code Using a Domain Specific LanguageTony Saad, Abhishek Bagusetty, and James
C. Sutherland, University of Utah, USA
Applied Large Eddy Simulation: Validation and Uncertainty Quantification of Lab and Pilot-Scale, Oxy-Coal Boiler SimulationsJeremy Thornock and Wu Yuxin, University
of Utah, USA; Ben Isaac, University of Utah, USA & Université Libre de Bruxelles, Belgium; Sean Smith and Philip J. Smith, University of Utah, USA
Monday, March 16
PP205Minisymposterium -- High Performance Linear Algebra Operations on GPUs4:30 PM-6:30 PMRoom:255
Organizer: Luke Olson, University of Illinois at Urbana-Champaign, USA
Radical Optimization Techniques for Asynchronous Iterative Algorithms on GpusHartwig Anzt, University of Tennessee,
USA; Edmond Chow, Georgia Institute of Technology, USA; Jack J. Dongarra, University of Tennessee, Knoxville, USA
Experiences in Autotuning Linear Algebra Operations for Energy Minimization on GpusHartwig Anzt and Blake Haugen, University
of Tennessee, USA; Jakub Kurzak and Jack J. Dongarra, University of Tennessee, Knoxville, USA
CUSP: A Parallel Sparse Matrix Package for GpusSteven Dalton and Luke Olson, University of
Illinois at Urbana-Champaign, USA
Sparse Matrix-Matrix Multiplication on High-Throughput ArchitecturesLuke Olson and Steven Dalton, University of
Illinois at Urbana-Champaign, USA
2015 SIAM Conference on Computational Science and Engineering 119
Tuesday, March 17
MS182Featured Minisymposium: CSE Software10:00 AM-11:40 AMRoom:355 A
This featured minisymposium reflects recent progress with tools and techniques for developing, adapting, using, and testing CSE software. The first talk addresses an eco system of computational tools for increased efficiency and reliability of scientific workflows. The next talk presents a software framework in C++, MOOSE, which simplifies building advanced multiphysics models. Another talk explains how domain specific languages for PDEs in Python allow automatic generation of adjoint models in C++ with high performance. Finally, the recent Julia language is presented, which combines the expressiveness and convenience of MATLAB/Python with the speed of Fortran/C.
Organizer: Hans Petter LangtangenSimula Research Laboratory and University of Oslo, Norway
10:00-10:20 Moose: An Open Source Platform For Rapid Development of Multiphysics Simulation ToolsDerek R. Gaston, Cody Permann, David
Andrs, John Peterson, and Andrew Slaughter, Idaho National Laboratory, USA
10:25-10:45 Domain Specific Languages and Automated Code Generation: High Expressiveness and High PerformancePatrick E. Farrell, University of Oxford,
United Kingdom
10:50-11:10 Julia - a Fast New Language for Technical ComputingStephan Karpinski, Massachusetts Institute
of Technology, USA
11:15-11:35 Project Jupyter: a Language-Independent Architecture for Cse, from Interactive Computing to Reproducible PublicationsFernando Perez, University of California,
Berkeley, USA
Tuesday, March 17
Registration7:45 AM-5:00 PMRoom:East Foyer
Announcements8:10 AM-8:15 AMRoom:355
IP7A Calculus for the Optimal Quantification of Uncertainties8:15 AM-9:00 AMRoom:355
Chair: Susan E. Minkoff, University of Texas at Dallas, USA
The past century has seen a steady increase in the need of estimating and predicting complex systems and making (possibly critical) decisions with limited information. With this purpose, this talk will describe the development of a form of calculus allowing for the (computational) manipulation of infinite dimensional information structures and its application to the optimal quantification of uncertainties in complex systems and the scientific computation of optimal statistical estimators/models. Specific examples will be discussed to illustrate how this form of calculus could also be used to facilitate/guide the process of scientific discovery.
Houman OwhadiCalifornia Institute of Technology, USA
Prize Award Ceremony9:00 AM-9:30 AMRoom:355
Coffee Break9:30 AM-10:00 AMRoom:255
Monday, March 16
PP208Minisymposterium -- Newest Bayesian Approaches to Modeling Complex Systems4:30 PM-6:30 PMRoom:255
Organizers: Alberto Giovanni Busetto, University of California, Santa Barbara, USA
James Beck, California Institute of Technology, USA
Approximate Active Bayesian Inference of Nonlinear Dynamical SystemsAlberto Giovanni Busetto, University of
California, Santa Barbara, USA
Variational Reformulation of Bayesian Inverse ProblemsIlias Bilionis, Purdue University, USA;
Panagiotis Tsilifis, University of Southern California, USA; Nicholas Zabaras, Cornell University, USA
Bayesian Model Selection for Exploring Mechanisms Contributing to Differential SignalingPencho Yordanov and Joerg Stelling, ETH
Zürich, Switzerland
120 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS184First Principle Methods and Applications for Computational Materials Science and Chemistry - Part I of III10:00 AM-11:40 AMRoom:250 A
For Part 2 see MS209 First principle electronic structure calculations are among the most challenging and computationally demanding science and engineering problems. This minisymposium aims at presenting and discussing new numerical methods for achieving ever higher level of accuracy and efficiency in ground and excited density functional theory calculations, and their applications in computational materials science and chemistry. We propose to bring together physicists, chemists and materials scientists who are involved in improving the numerical development of widely known quantum chemistry and solid-state physics application software packages, with mathematicians and computer scientists who are focusing on advancing the required state-of-the-art mathematical algorithms and parallel implementation.
Organizer: Lin LinUniversity of California, Berkeley, USA
Organizer: Eric PolizziUniversity of Massachusetts, Amherst, USA
Organizer: Chao YangLawrence Berkeley National Laboratory, USA
10:00-10:20 Accurate All-Electron Electronic Structure Theory for Large SystemsVolker Blum, Duke University, USA
10:25-10:45 Enabling Large-Scale Hybrid Density Functional Theory CalculationsRobert A. DiStasio, Jr., Princeton University,
USA
10:50-11:10 A Model and Variance Reduction Method for Computing Statistical Outputs of Stochastic Partial Differential EquationsFerran Vidal-Codina, Cuong Nguyen, and
Jaime Peraire, Massachusetts Institute of Technology, USA; Michael B. Giles, University of Oxford, United Kingdom
11:15-11:35 Topology Optimization of a Permanent-Magnet Synchronous Machine under UncertaintiesRoland Pulch, University of Greifswald,
Germany; Piotr Putek, Bergische Universität Wuppertal, Germany
Tuesday, March 17
MS183Challenges in Optimization with Uncertainty and Noisy Data10:00 AM-11:40 AMRoom:355 D
In many practical applications of optimization, the objective function and constraints are not known precisely. This lack of knowledge may stem from noisy or inaccurate evaluations of the objective and constraints, or from uncertain parameters in the underlying models. A probabilistic approach to the latter yields problems of robust optimization, encompassing a variety of operators and risk measures. Yet the two cases are linked, in that evaluation of a probabilistic risk measure is itself subject to inevitable and often significant numerical errors. This minisymposium presents recent algorithmic developments for optimization, aimed at efficient and reliable solutions of problems with uncertainty.
Organizer: Florian AugustinMassachusetts Institute of Technology, USA
Organizer: Youssef M. MarzoukMassachusetts Institute of Technology, USA
10:00-10:20 Bayesian Global Optimization of Expensive Functions with Low-Dimensional NoiseJing Xie, Cornell University, USA;
Sethuraman Sankaran, HeartFlow, Inc, USA; Abhay Ramachandra, University of California, San Diego, USA; Saleh Elmohamed, Cornell University, USA; Alison Marsden, University of California, San Diego, USA; Peter I. Frazier, Cornell University, USA
10:25-10:45 Modeling An Augmented Lagrangian for Improved Blackbox Constrained OptimizationRobert Gramacy, University of Chicago,
USA; Genetha Gray, Sandia National Laboratories, USA; Sebastien Le Digabel, École Polytechnique de Montréal, Canada; Herbert Lee, University of California, Santa Cruz, USA; Pritam Ranjan, Acadia University, Canada; Garth Wells, University of Cambridge, United Kingdom; Stefan Wild, Argonne National Laboratory, USA
continued in next column continued on next page
2015 SIAM Conference on Computational Science and Engineering 121
10:50-11:10 Data and Uncertainties: Representation of High-Dimensional Dependencies Using Adaptive Sparse GridsDirk Pfluger and Fabian Franzelin, University
of Stuttgart, Germany
11:15-11:35 Numerical Solution of Elliptic Diffusion Problems on Random DomainsMichael Peters and Helmut Harbrecht,
Universität Basel, Switzerland
Tuesday, March 17
MS185High-dimensional Approximation and Integration: Analysis and Computation - Part V of V10:00 AM-11:40 AMRoom:250 B
For Part 4 see MS159 This minisymposium focuses on the fundamental problem of how to accurately approximate solutions of both forward and inverse high-dimensional functions. Predicting the behavior of complex phenomena relies on constructing solutions in terms of high dimensional spaces, particularly in the case when the input data (coefficients, forcing terms, initial and boundary conditions, geometry) are affected by large amounts of uncertainty. The resulting explosion in computational effort is a symptom of the curse of dimensionality and this symposium aims at exploring breakthroughs in sparse sampling and representations, nonlinear and greedy approximations, compressed sensing, multilevel methods, and ”best-N-term” approximations.
Organizer: Guannan ZhangOak Ridge National Laboratory, USA
Organizer: Albert CohenUniversité Pierre et Marie Curie, France
Organizer: Max GunzburgerFlorida State University, USA
Organizer: Clayton G. WebsterOak Ridge National Laboratory, USA
10:00-10:20 Solving Optimal Feedback Control Problems for Partial Differential Equations Using Adaptive Sparse GridsJochen Garcke, University of Bonn,
Germany; Axel Kroner, RICAM, Austrian Academy of Sciences, Austria
10:25-10:45 Dimension-Independent, Likelihood-Informed Mcmc Sampling Algorithms for Bayesian Inverse ProblemsKody Law, King Abdullah University of
Science & Technology (KAUST), Saudi Arabia; Tiangang Cui and Youssef M. Marzouk, Massachusetts Institute of Technology, USA
10:50-11:10 Finite Elements for Large, Accurate Quantum Mechanical Materials Calculations: from Classical to Enriched to DiscontinuousJohn Pask, Lawrence Livermore National
Laboratory, USA
11:15-11:35 Enabling Large Scale LAPW DFT Calculations by a Scalable Iterative EigensolverDaniel Wortmann, Forschungszentrum
Jülich, Germany; Edoardo A. Di Napoli, Jülich Supercomputing Centre, Germany; Mario Berljafa, University of Manchester, United Kingdom
continued in next column
122 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS187Recent Advances in Model Reduction - Part I of V10:00 AM-11:40 AMRoom:250 D
For Part 2 see MS211 Model reduction has become an increasingly important tool to mitigate the computational burden of modeling and simulation in time-critical (e.g., model-predictive control) and many query (e.g., Bayesian inversion) applications. This minisymposium presents recent advances that address the primary challenges facing such methods, such as preserving intrinsic problem structure, handling high-dimensional parameter spaces, integration with existing simulation codes, stability, optimization and uncertainty quantification and control.
Organizer: Kevin T. CarlbergSandia National Laboratories, USA
Organizer: Gianluigi RozzaSISSA, International School for Advanced Studies, Trieste, Italy
10:00-10:20 Recent Advances in Reduced Order Modelling in Computational Fluid Dynamics within EU-MORNET COST ActivitiesGianluigi Rozza and Giuseppe Pitton,
SISSA, International School for Advanced Studies, Trieste, Italy; Annalisa Quaini, University of Houston, USA
10:25-10:45 A Minimum-residual Mixed Reduced Basis Method: Exact Residual Certification and Simultaneous Finite-element Reduced-basis Adaptive RefinementMasayuki Yano, Massachusetts Institute of
Technology, USA
10:50-11:10 Reduced Basis Method for Uncertainty Quantification Problems: A Recent UpdatePeng Chen, ETH Zürich, Switzerland;
Gianluigi Rozza, SISSA, International School for Advanced Studies, Trieste, Italy
11:15-11:35 Accelerating the Solution of Inverse Problems Using Reduced-Order ModelsDavid Amsallem, Stanford University, USA
10:50-11:10 Incorporating Error Detection and Recovery into Hierarchically Semi-Separable Matrix OperationsBrian Austin, Alex Druinsky, Xiaoye Sherry
Li, Osni A. Marques, and Eric Roman, Lawrence Berkeley National Laboratory, USA
11:15-11:35 Controlling Numerical Error in Particle-In-Cell Simulations of Collisionless Dark MatterAndrew Myers, Brian Van Straalen, and
Colella Phillip, Lawrence Berkeley National Laboratory, USA
Tuesday, March 17
MS186Resilient, Extreme -scale Numerical Algorithms - Part I of II10:00 AM-11:40 AMRoom:250 C
For Part 2 see MS210 Computer architectures are undergoing fundamental changes that will require the rethinking and invention of numerical algorithms suitable for computing at extreme scales (over 100 PFlops). Numerical solver technologies are needed that favor computation over data motion, that expose much greater concurrency, and that are resilient to increasing soft and hard faults. This minisymposium will feature progress in the development of such algorithms by several projects funded by the DOE Resilient Extreme- Scale Solvers initiative. A breadth of topics will be addressed, including algebraic multigrid, methods for hyperbolic conservation laws, Particle- In-Cell algorithms, and stochastic methods for linear systems.
Organizer: John LoffeldLawrence Livermore National Laboratory, USA
Organizer: Andrew MyersLawrence Berkeley National Laboratory, USA
Organizer: Jeffrey A. HittingerLawrence Livermore National Laboratory, USA
10:00-10:20 Attaining High Arithmetic Intensity in Finite-volume Methods through High-order QuadraturesJohn Loffeld and Jeffrey A. Hittinger,
Lawrence Livermore National Laboratory, USA
10:25-10:45 Parallel Spectral Element-Based Agglomeration Algebraic Multigrid for Porous Media FlowAndrew T. Barker, Lawrence Livermore
National Laboratory, USA; Delyan Kalchev, University of Colorado, USA; Panayot Vassilevski and Umberto E. Villa, Lawrence Livermore National Laboratory, USA
continued in next column
2015 SIAM Conference on Computational Science and Engineering 123
10:50-11:10 Stochastic Collocation Methods Via L1 MinimizationTao Zhou, Chinese Academy of Sciences,
China; Ling Guo, Shanghai Normal University, China; Dongbin Xiu, Purdue University, USA
11:15-11:35 A Sparse Multiresolution Regression Framework for Uncertainty QuantificationDaniele E. Schiavazzi, University of
California, San Diego, USA; Alireza Doostan, University of Colorado Boulder, USA; Gianluca Iaccarino, Stanford University, USA
Tuesday, March 17
MS189Sparse and Compressible Representations: Theory, Algorithms and Applications - Part I of III10:00 AM-11:40 AMRoom:250 F
For Part 2 see MS213 By focusing effort on identifying dominant terms of a function representation one can often accurately approximate the function from limited data. Sparsity detection also referred to as compressed sensing and l1-minimization is one approach that is extremely effective at identifying the dominant terms of a function expansion. Recently there have been many advances in l1-minimization including strategies for sampling, preconditioning and high-dimensional basis selection that attempt to maximize the accuracy of recovered signals whilst minimizing the number of signal samples. This minisymposium presents recent theoretical results, numerical methods and applications of sparse approximations, including but not limited to uncertainty quantification (UQ) and sensitivity analysis (SA).
Organizer: John D. JakemanSandia National Laboratories, USA
Organizer: Khachik SargsyanSandia National Laboratories, USA
10:00-10:20 Sparse Polynomial Chaos Expansions for Time-Dependent ProblemsBruno Sudret and Chu Mai, ETH Zürich,
Switzerland
10:25-10:45 Adaptive Compressive Sensing Method for Uncertainty QuantificationXiu Yang, Pacific Northwest National
Laboratory, USA; Xiaoliang Wan, Louisiana State University, USA; Huan Lei and Guang Lin, Pacific Northwest National Laboratory, USA; George E. Karniadakis, Brown University, USA
Tuesday, March 17
MS188Advances in Time-stepping Methods - Part III of V10:00 AM-11:40 AMRoom:250 E
For Part 2 see MS162 For Part 4 see MS212 Time-stepping methods are numerical methods for the time evolution of ODEs, DAEs, and PDEs in the method-of-lines framework. Many applications require specialized time-stepping methods in order to enhance efficiency or capture particular theoretical properties such as positivity, symplecticity, and strong-stability-preservation or practical properties such as parallelization on emerging high-performance architectures, component (e.g., multirate or local time-stepping) and physics (IMEX or semi-implicit) splittings based on sub-system properties, and reliable error estimation and control. The talks in this minisymposium will describe recent novel developments in time-stepping methods and demonstrate their benefits in practical applications.
Organizer: Emil M. ConstantinescuArgonne National Laboratory, USA
Organizer: Michael GuentherBergische Universität, Germany
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Raymond J. SpiteriUniversity of Saskatchewan, Canada
10:00-10:20 A New Look at Global Error Estimation in Differential EquationsEmil M. Constantinescu, Argonne National
Laboratory, USA
10:25-10:45 Reliable Adaptive Time Stepping for Systems of ODEs, DDEs and BVPsWayne Enright, University of Toronto,
Canada
10:50-11:10 High Order Semi-implicit Schemes for Evolutionary Non Linear Partial Differential Equations and ApplicationsSebastiano Boscarino, University of Catania,
Italy
11:15-11:35 On the Construction of Robust Additive Runge-Kutta MethodsInmaculada Higueras, Universidad Pública de
Navarra, Spaincontinued in next column
124 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS192The System Dynamics of Social and Health Processes using Quantitative Data Sciences Methods 10:00 AM-11:40 AMRoom:251 C
Part of the SIAM Workshop Celebrating Diversity
Recent years have witnessed an increasing interest in developing models for understanding imminent challenges in engineering and public health. In this minisymposium, the talks will highlight some of the issues encountered when trying to apply data-driven approaches to the real-time systems. The increasing availability of data from a variety of sources including social media provides the ability to model complex ecosystems enabling human decision-making. Models have the potential to facilitate more accurate assessment for such systems, and to provide a basis for more efficient and targeted approaches to treatment and scheduling, through an improved understanding of the mechanisms of action.
Organizer: Anuj MubayiArizona State University, USA
Organizer: Raegan HigginsTexas Tech University, USA
Organizer: Susan E. MinkoffUniversity of Texas at Dallas, USA
Organizer: Stephen WirkusArizona State University, USA
10:00-10:20 Analysis of Information Diffusion on Social NetworksDaniel Romero, University of Michigan, USA
10:25-10:45 The Collective Impact of Social Factors and Interventions on the Dynamics of Reported Narcotic-Related Criminal Cases in the Community Areas of ChicagoMaryam Khan, Arizona State University, USA
10:50-11:10 An Effective Community-based Approach to Mitigate Sybil Attacks in Online Social NetworksSatyajayant Misra, New Mexico State
University, USA
11:15-11:35 The Dynamics of Co-Evolution of Health Behaviors in College PopulationAnuj Mubayi, Arizona State University, USA
Tuesday, March 17
MS191Numerical Methods for High-Dimensional Stochastic and Parametric Problems - Part I of V10:00 AM-11:40 AMRoom:251 B
For Part 2 see MS215 Development of scalable numerical methods for the solution of problems with high-dimensional stochastic or parametric inputs has been a subject of active research in computational sciences and engineering. This is motivated by the need to reduce the issue of curse-of-dimensionality, i.e., exponential increase of computational complexity, in predictive simulation of physical systems where accurate specification of governing laws entails a large number of parameters or stochastic variables. To this end, several novel approaches based on multi-level, reduced order, sparse, and low-rank approximations have been recently developed. This minisymposium presents state-of-the-art in such developments for various aspects of high-dimensional computation, including analysis, algorithms, implementation, and applications.
Organizer: Alireza DoostanUniversity of Colorado Boulder, USA
Organizer: Dongbin XiuUniversity of Utah, USA
10:00-10:20 Local Polynomial Chaos Methods for High Dimensional SPDEYi Chen, Purdue University, USA; John D.
Jakeman, Sandia National Laboratories, USA; Xueyu Zhu and Dongbin Xiu, University of Utah, USA
10:25-10:45 Uncertainty Propagation Using Infinite Mixture of Gaussian Processes and Variational Bayesian InferencePeng Chen and Nicholas Zabaras, Cornell
University, USA; Ilias Bilionis, Purdue University, USA
10:50-11:10 Title Not Available at Time of PublicationRaul F. Tempone, King Abdullah University
of Science & Technology (KAUST), Saudi Arabia
11:15-11:35 Multivariate Weighted Least-squares using Monte Carlo SamplesAkil Narayan, University of Massachusetts,
Dartmouth, USA
Tuesday, March 17
MS190The Use of Adjoints in Earth System Modeling/Sciences10:00 AM-11:40 AMRoom:251 A
Derivatives can be used in many contexts including optimization, sensitivity analysis, and uncertainty quantification. Earth system models frequently compute adjoints to study the estimate of sensitivity of model output with respect to input. Factors to be considered in adjoint computation include the accuracy of derivatives, the speed of computing them, and the ease with which they can be computed. This minisymposium will present talks showing examples of adjoint computation in earth system models as well as advances in their efficient computation.
Organizer: Sri Hari Krishn NarayananArgonne National Laboratory, USA
Organizer: Paul D. HovlandArgonne National Laboratory, USA
10:00-10:20 Improving the Efficiency of the Adjoint of Fixed-Point IterationsSri Hari Krishn Narayanan, Argonne
National Laboratory, USA; Daniel Goldberg, University of Edinburgh, United Kingdom; Paul D. Hovland, Argonne National Laboratory, USA
10:25-10:45 Development of a Time-Dependent Ice Flow Model Adjoint and Its ApplicationsDaniel Goldberg, University of Edinburgh,
United Kingdom; Patrick Heimbach, Massachusetts Institute of Technology, USA
10:50-11:10 Parallel 4D Variational Data AssimilationVishwas Hebbur Venkata Subba Rao and
Adrian Sandu, Virginia Tech, USA
11:15-11:35 An Adjoint Based Analysis of the Physical Drivers of Uncertainty in Air-Sea Exchange and Ocean Draw Down of Co2Chris Hill and Oliver Jahn, Massachusetts
Institute of Technology, USA; Jean Utke, Argonne National Laboratory, USA
2015 SIAM Conference on Computational Science and Engineering 125
Tuesday, March 17
MS194Inverse Problems and Data Assimilation - Part II of VI10:00 AM-11:40 AMRoom:251 E
For Part 1 see MS168 For Part 3 see MS218 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to:
1) deterministic and statistical approaches to inversion problems and data assimilation;
2) reduced order modeling inversion framework;
3) treatment of nonlinear and non-smooth processes;
4) sensitivity analysis and its application to adaptive (targeting) observation;
5) operational data assimilation systems;
6) uncertainties impact studies;
7) automatic tools to support inversion and data assimilation methodologies.
Organizer: Razvan StefanescuVirginia Tech, USA
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Ionel M. NavonFlorida State University, USA
Organizer: Dacian N. DaescuPortland State University, USA
10:00-10:20 Toward New Applications of the Adjoint Tools in 4D-Var Data AssimilationDacian N. Daescu, Portland State University,
USA; Ricardo Todling, NASA, USA; Rolf Langland, Naval Research Laboratory, USA; Austin Hudson, Portland State University, USA
10:25-10:45 Computing Exactly and Eficiently Arbitrarily-High-Order Response Sensitivities to Model ParametersDan G. Cacuci, University of South
Carolina, USA
10:50-11:10 Fluctuating Hydrodynamics of Suspensions of Rigid ParticlesAleksandar Donev, Courant Institute of
Mathematical Sciences, New York University, USA
11:15-11:35 SPH Model for Landau-Lifshitz Navier-Stokes and Advection-Diffusion EquationsAlexander Tartakovsky, Pacific Northwest
National Laboratory, USA; Jannes Kordilla, University of Goettingen, Germany; Wenxiao Pan, Pacific Northwest National Laboratory, USA
Tuesday, March 17
MS193Computational Benchmarks for Soft Materials and Complex Fluids at the Mesoscale - Part I of III10:00 AM-11:40 AMRoom:251 D
For Part 2 see MS217 Computational modeling of multiphysical processes at the mesoscale is becoming increasingly important for applications in micro-/nano-technology, next-generation battery technology, material assembly and biological systems. In this minisymposium we address mathematical modeling along with numerical schemes that can effectively capture mesoscale multiphysics such as hydrodynamics, transport, electrostatics and chemical reaction. Desirable features of the numerical schemes include robustness, accuracy, scalability, as well as potential to cross scales as a multiscaling framework. The benchmark applications that we are interested in include mixing and separation processes in micro-/nano-channel, semi-permeable membranes, diffusive transport and electrochemical reaction in porous electrode, colloid and nanoparticle assembly, as well as macromolecular conformational change.
Organizer: Mauro PeregoSandia National Laboratories, USA
Organizer: Wenxiao PanPacific Northwest National Laboratory, USA
Organizer: Nathaniel TraskBrown University, USA
Organizer: Kyungjoo KimSandia National Laboratories, USA
10:00-10:20 A Nano Pore-Scale Model for the Nanostructured Cathode of Lithium-Oxygen BatteriesWenxiao Pan, Pacific Northwest National
Laboratory, USA
10:25-10:45 Boltzmann’s State of Motion: Phenomenological Modeling of Chemical and Ecological SystemsYian Ma and Hong Qian, University of
Washington, USA
continued in next column continued on next page
126 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS196Numerical Methods for Multimaterial Flows with Deforming Boundaries - Part I of III10:00 AM-11:40 AMRoom:254 A
For Part 2 see MS220 Multimaterial flows with deforming boundaries appear in many applications involving biological flows, medicine, industry, and homeland security. As the number of applications grow, so too the amount of research into developing and improving existing numerical methods for deforming boundary problems in multi-material flows. In this minisymposium, novel numerical methods will be presented that address efficiency and accuracy in adaptive mesh refinement algorithms, scalability on high performance computing platforms, robust interface capturing methods, numerical methods for phase change (freezing, boiling, evaporation), and numerical methods for enforcing boundary conditions at deforming boundary interfaces.
Organizer: Mark SussmanFlorida State University, USA
Organizer: Frederic G. GibouUniversity of California, Santa Barbara, USA
Organizer: Feng XiaoTokyo Institute of Technology, Japan
10:00-10:20 High Resolution PDE Solvers on Octree Grids and Parallel ArchitecturesFrederic G. Gibou, University of California,
Santa Barbara, USA
10:25-10:45 Topological Change with a Cut Cell based Sharp Interface Method for Multi-phase FlowsXiao-Long Deng, Beijing Computational
Science Research Center, China
10:50-11:10 A Second Order Virtual Node Algorithm for Navier–Stokes Flow Problems with Interfacial Forces and Discontinuous Material PropertiesJoseph Teran, University of California, Los
Angeles, USA
11:15-11:35 On the Coupling of Far-Field Wind-Wave Simulation and Near-Field Free-Surface Flow SimulationAntoni E. Calderer, University of Minnesota,
USA; Xin Guo, University of California, Berkeley, USA; Fotis Sotiropoulos and Lian Shen, University of Minnesota, USA
Tuesday, March 17
MS195Uncertainty Quantification Methods for Power Grid Systems - Part I of II10:00 AM-11:40 AMRoom:251 F
For Part 2 see MS219 The properties of many operational and structural elements of power grid models are typically known to some degree of certainty. Examples include grid topology and state, including knowledge of what lines are down; model parameters, such as generator/load/line electrical and performance characteristics; and operational conditions, such as renewable generator and load levels. In this minisymposium we bring together modeling contributions for the treatment of these uncertainties, to improve the design and operation of power grids.
Organizer: Cosmin SaftaSandia National Laboratories, USA
Organizer: Ali PinarSandia National Laboratories, USA
Organizer: Jean-Paul WatsonSandia National Laboratories, USA
10:00-10:20 An Efficient Approach for Stochastic Optimization of Electricity Grid OperationsCosmin Safta, Habib N. Najm, Richard L.
Chen, Ali Pinar, and Jean-Paul Watson, Sandia National Laboratories, USA
10:25-10:45 Two-Stage Adaptive Robust Unit Commitment Using Scenarios Induced Uncertainty SetRichard L. Chen, Cosmin Safta, Jean-Paul
Watson, Habib N. Najm, and Ali Pinar, Sandia National Laboratories, USA
10:50-11:10 Data-Driven Model for Solar Irradiation Based on Satellite ObservationsIlias Bilionis, Purdue University, USA; Emil
M. Constantinescu and Mihai Anitescu, Argonne National Laboratory, USA
11:15-11:35 Economic Impacts of Wind Covariance Estimation on Power Grid OperationsCosmin G. Petra and Victor Zavala, Argonne
National Laboratory, USA; Elias Nino-Ruiz, Virginia Tech, USA; Mihai Anitescu, Argonne National Laboratory, USA
Tuesday, March 17
MS194Inverse Problems and Data Assimilation - Part II of VI10:00 AM-11:40 AMcontinued
10:50-11:10 Dealing with Nonsmoothness in Data AssimilationAndreas Griewank, Humboldt University
Berlin, Germany
11:15-11:35 Second Order Analysis in Variational Data AssimilationFrancois-Xavier L. Le-Dimet, Université
de Grenoble Alpes, France; M Yousuff Hussaini, Florida State University, USA; Ha Tran Thu, Vietnamese Academy of Science and Technology, Vietnam
2015 SIAM Conference on Computational Science and Engineering 127
Tuesday, March 17
MS199Hybrid and Multilevel Approaches to Kinetic Equations - Part III of IV10:00 AM-11:40 AMRoom:150 AB
For Part 2 see MS173 For Part 4 see MS223 In recent years, a significant amount of effort has been directed to solving kinetic equations. Generally, kinetic equations have posed a challenge due to the large phase space associated with the equations, however algorithmic advances and advances in computer hardware have made these simulations more tractable. In this minisymposium, we consider hybrid and multilevel approaches to solving kinetic equations.
Organizer: Jeffrey A. WillertLos Alamos National Laboratory, USA
Organizer: Cory HauckOak Ridge National Laboratory, USA
Organizer: Ryan McClarrenTexas A&M University, USA
Organizer: Martin FrankRWTH - Aachen University of Technology, Germany
Organizer: Jingmei QiuUniversity of Houston, USA
10:00-10:20 A Moment Model for the Vlasov Fokker Planck EquationCharles K. Garrett and Cory Hauck, Oak
Ridge National Laboratory, USA
10:25-10:45 An Implcit, Conservative Vlasov-Darwin Pic Solver in Multiple DimensionsGuangye Chen and Luis Chacon, Los
Alamos National Laboratory, USA
10:50-11:10 Modeling Non-Ideal Plasmas: a Hyrbid Quantum Hydrodynamics and Molecular Dynamics ApproachMichael Murillo, Los Alamos National
Laboratory, USA
11:15-11:35 iFP: An Optimal, Fully Conservative, Fully Implicit, Vlasov-Fokker-Planck SolverWilliam T. Taitano, Luis Chacon, and
Andrei Simakov, Los Alamos National Laboratory, USA
Tuesday, March 17
MS198Student Days: Combining Disciplines, Techniques, Faculty and Students to Tackle Protein Folding10:00 AM-11:40 AMRoom:254 C
Consistently predicting protein structure is a grand challenge in biology. This symposium features speakers from an educational experiment that was conducted during the summer of 2014: nine students and three faculty representing different institutions and disciplines, spent 10 weeks under one roof discussing protein folding and learning about HPC. The WeFold project that brings together researchers worldwide to collaborate and compete at the CASP protein folding competition, served as the educational framework. The learning curve for the students was steep and the results impressive suggesting that this approach is an effective methodology to introduce students to computational sciences and HPC.
Organizer: Silvia N. CrivelliLawrence Berkeley National Laboratory, USA
10:00-10:20 WeFold: a Collaborative and Educational ExperimentSilvia N. Crivelli, Lawrence Berkeley
National Laboratory, USA; John Hatherill, Del Mar Community College, USA; Jesse Fox, Mountain View Community College, USA
10:25-10:45 Creating the Largest Decoys Database to Improve Scoring Functions Using Machine LearningRicardo Ferreira and Christopher Cook,
Mountain View Community College, USA
10:50-11:10 The Maintenance of the WeFold Gateway for CASP11Anthony Lopez, Del Mar Community
College, USA
11:15-11:35 Reducing the Data Complexity with Filtering and ClusteringRachel A. Davis, Drake University, USA;
Jennifer Ogden, Saint Mary’s College of California, USA; Rehan Raiyyani, University of California, San Diego, USA
Tuesday, March 17
MS197Parallel Computing for Partial Differential Equations on CPUs, GPUs, and Intel Phi - Part I of II10:00 AM-11:40 AMRoom:254 B
For Part 2 see MS221 Modern architectures including multi-core CPUs, massively parallel GPUs, and many-core accelerators such as the 60-core Intel Phi processor offer great opportunities for speeding up computations. They pose significant challenges due to the hybrid programming models and libraries that need to be used, ranging from distributed-memory computing with MPI, multi-threading with OpenMP, CUDA on GPUs, offloading to the Phi, for instance. This minisymposium will share experiences with parallel code and numerical algorithms from fundamental test problems over established benchmark codes to specialized research code. The minisymposium will start with an overview and contrast of the architectures and include the opportunity for the audience to discuss their own experiences.
Organizer: Matthias K. GobbertUniversity of Maryland, Baltimore County, USA
Organizer: Ulrich J. RuedeUniversity of Erlangen-Nuremberg, Germany
10:00-10:20 Overview and Contrast of Modern Computer Architectures Including the Intel PhiJonathan Graf, Samuel Khuvis, Xuan Huang,
and Matthias K. Gobbert, University of Maryland, Baltimore County, USA
10:25-10:45 The HPCG Benchmark Using Intel Phi AcceleratorsAdam Cunningham, Gerald Payton, and
Jack Slettebak, University of Maryland, Baltimore County, USA; Jordi Wolfson-Pou, University of California, Santa Cruz, USA
10:50-11:10 Offloading Computational Kernels in Long-Time Simulations to the Intel PhiSamuel Khuvis, Xuan Huang, Jonathan Graf,
and Matthias K. Gobbert, University of Maryland, Baltimore County, USA
11:15-11:35 Asynchronous Preconditioning on AcceleratorsEdmond Chow, Georgia Institute of
Technology, USA
128 2015 SIAM Conference on Computational Science and Engineering
10:50-11:10 Algebraic Multigrid Solvers for Lattice QCD in the Hypre Software LibraryEvan Berkowitz, Lawrence Livermore
National Laboratory, USA; James Brannick, Pennsylvania State University, USA; Robert Falgout and Chris Schroeder, Lawrence Livermore National Laboratory, USA
11:15-11:35 Block-Structured AMR: Applications Using BoxLibAnn S. Almgren, Lawrence Berkeley
National Laboratory, USA
Tuesday, March 17
MS201Deployment and Application of Technologies provided by the FASTMath Institute - Part I of II10:00 AM-11:40 AMRoom:258
For Part 2 see MS225 The FASTMath SciDAC Institute develops and deploys scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena. These tools include structured and unstructured mesh techniques, linear and nonlinear solvers, eigensolvers and time integration methods. Research efforts are focused on developing a full range of accurate and robust technologies that support different application codes specifically those employed by the Department of Energy’s domain scientists. This minisymposium will place emphasis on application of FASTMath tools on SciDAC and related applications. Speakers will discuss the challenges in different application areas and the impact of the latest developments in FASTMath tools.
Organizer: Onkar SahniRensselaer Polytechnic Institute, USA
Organizer: Lori A. DiachinLawrence Livermore National Laboratory, USA
10:00-10:20 Gyrokinetic Poisson Equation Solvers with Explicit Flux Surface Averaging in XGC1 with PETScMark Adams, Lawrence Berkeley National
Laboratory, USA; Seung-Hoe Ku, Princeton Plasma Physics Laboratory, USA
10:25-10:45 Preconditioners for Implicit Atmospheric Climate Simulations in the Community Atmosphere ModelDavid J. Gardner, Lawrence Livermore
National Laboratory, USA; Katherine J. Evans, Oak Ridge National Laboratory, USA; Aaron Lott, D-Wave Systems, Inc., Canada; Andrew Salinger, Sandia National Laboratories, USA; Carol S. Woodward, Lawrence Livermore National Laboratory, USA
Tuesday, March 17
MS200Partitioning and Load Balancing in Scientific Applications10:00 AM-11:40 AMRoom:150 DE
The importance of partitioning and load balancing is growing with the emergence of computers with 100K+ cores. This minisymposium will address issues involved with partitioning and load balancing at extreme scale for scientific applications. These issues include partitioning for extreme core counts, for memory-constrained processors, and for complex objectives.
Organizer: Karen D. DevineSandia National Laboratories, USA
Organizer: Siva RajamanickamSandia National Laboratories, USA
Organizer: Brian Van StraalenLawrence Berkeley National Laboratory, USA
10:00-10:20 Unstructured Mesh Partitioning to over 500k PartsCameron Smith, Dan A. Ibanez, and Mark
S. Shephard, Rensselaer Polytechnic Institute, USA
10:25-10:45 Current Challenges in Mesh Partitioning for Physics SimulationsCédric Chevalier, CEA, France
10:50-11:10 The Zoltan2 Toolkit: Partitioning, Task Placement, Coloring, and OrderingKaren D. Devine, Erik G. Boman, Siva
Rajamanickam, and Lee Ann Riesen, Sandia National Laboratories, USA; Mehmet Deveci and Umit V. Catalyurek, The Ohio State University, USA
11:15-11:35 Zoltan2 for Extreme-Scale Data PartitioningMichael Wolf, Sandia National Laboratories,
USA
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2015 SIAM Conference on Computational Science and Engineering 129
Tuesday, March 17
MS204Recent Advances in High Order Spatial Discretization Methods for PDEs - Part I of III10:00 AM-11:40 AMRoom:260 B
For Part 2 see MS228 Many complex physical phenomena can be modeled by partial differential equations and the numerical simulation of PDEs has been an active research area. This minisymposium aims to bring researchers together to discuss the numerical challenges when designing high order spatial discretization methods for time-dependent/static PDEs, with particular attention on weighted essentially non-oscillatory (WENO) methods and discontinuous Galerkin (DG) methods.
Organizer: Yuan LiuMichigan State University, USA
Organizer: Qi TangMichigan State University, USA
Organizer: Andrew J. ChristliebMichigan State University, USA
10:00-10:20 High Order WENO Method for Steady State ProblemsLiang Wu and Yongtao Zhang, University of
Notre Dame, USA; Shuhai Zhang, China Aerodynamics Research and Development Center, China; Chi-Wang Shu, Brown University, USA
10:25-10:45 A Hybrid Weno Reconstruction on Unstructured MeshYuan Liu, Michigan State University, USA
10:50-11:10 A New RKDG Method with Conservation Constraint to Improve CFL Condition for Solving Conservation LawsZhiliang Xu, University of Notre Dame,
USA
11:15-11:35 A High-Order Adaptive Finite Volume Solver for Steady Euler EquationsGuanghui Hu, University of Macau, China
Tuesday, March 17
MS203Software Components for Integral Equation Methods - Part III of IV10:00 AM-11:40 AMRoom:260 A
For Part 2 see MS177 For Part 4 see MS227 Due to recent advances in the underlying technology, integral equations have become highly competitive in attacking the most challenging of elliptic, globally-coupled PDE problems. However, compared to a standard off-the-shelf finite element methods, a larger amount of machinery is involved, including fast algorithms, preconditioners, and singular quadrature methods. To make this theoretically attractive family of methods practically usable, many of these components need to be readily available in software form. This minisymposium seeks to bring together practitioners and researchers with the goal of encouraging exchange of ideas and discovering opportunities for collaboration in this direction.
Organizer: Timo BetckeUniversity College London, United Kingdom
Organizer: Andreas KloecknerUniversity of Illinois, USA
10:00-10:20 Rank-Structured Preconditioners for Two and Three-Dimensional Integral and Differential EquationsSteffen Börm and Knut Reimer, Kiel
University, Germany
10:25-10:45 Practical and Efficient Direct Solvers for BIEsGunnar Martinsson, University of Colorado
Boulder, USA
10:50-11:10 Fast Solvers for Hierarchical MatricesAmirhossein Aminfar, Stanford University,
USA; Sivaram Ambikasaran, Courant Institute of Mathematical Sciences, New York University, USA; Mohammad Hadi Pour Ansari and Eric F. Darve, Stanford University, USA
11:15-11:35 A New Integral Formulation and Fast Direct Solver for Periodic Stokes’ FlowAdrianna Gillman, Rice University, USA;
Alex H. Barnett, Dartmouth College and Simons Foundation, USA; Shravan Veerapaneni and Gary Marple, University of Michigan, USA
Tuesday, March 17
MS202Advances in Multigrid Methods and Their Applications - Part I of II10:00 AM-11:40 AMRoom:259
For Part 2 see MS226 Multigrid is the most successful and generally-applicable scalable approach to solving problems with a hierarchy of scales in application areas such as elliptic PDEs, optimization, inversion, and image processing. Scalable methods are increasingly essential as hardware evolution and algorithmic advances enable the solution of larger scale problems in science and engineering applications. This session brings together researchers developing multigrid and related methods to assess the state of the art, recent theoretical advances, and novel applications.
Organizer: Zichao DiArgonne National Laboratory, USA
Organizer: Maria EmelianenkoGeorge Mason University, USA
Organizer: Jed BrownArgonne National Laboratory, USA and University of Colorado Boulder, USA
10:00-10:20 Optimization Approach for Tomographic Inversion from Multiple Data ModalitiesZichao Di, Sven Leyffer, and Stefan Wild,
Argonne National Laboratory, USA
10:25-10:45 Multigrid Preconditioning for Space-time Distributed Optimal Control Problems Constrained by Parabolic EquationsAndrei Draganescu and Mona Hajghassem,
University of Maryland, Baltimore County, USA
10:50-11:10 Multigrid in ChaosQiqi Wang and Patrick Blonigan,
Massachusetts Institute of Technology, USA
11:15-11:35 About Some Smoothers for Saddle-point ProblemsCarmen Rodrigo, Francisco José Gaspar,
and Francisco Lisbona, University of Zaragoza, Spain; Ludmil Zikatanov, Pennsylvania State University, USA
130 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS207Advances in High Level Finite Element Systems - Part I of II10:00 AM-11:40 AMRoom:151 G
For Part 2 see MS231 Many modern software projects utilize the high level of mathematical abstraction provided by finite element methods to develop powerful libraries that hide or even automate many practical computational details. Such codes increase programmer productivity, decrease potential sources of errors, and simplify the implementation of complex calculations such as h/p adaptivity and adjoint-based optimization. This minisymposium will bring together key participants from Deal.II, Dune, FEniCS, Dolfin-adjoint, Firedrake and Nektar++ to communicate the latest advances in and applications of such finite element systems.
Organizer: David HamImperial College London, United Kingdom
Organizer: Rob KirbyBaylor University, USA
10:00-10:20 FinAT: A Mathematical Structure-Preserving Library of Finite ElementsDavid Ham, Imperial College London,
United Kingdom; Rob Kirby, Baylor University, USA
10:25-10:45 Multicore Parallelism for Common Finite Element OperationsBruno Turcksin, Texas A&M University,
USA; Martin Kronbichler, Technische Universität München, Germany; Wolfgang Bangerth, Texas A&M University, USA
10:50-11:10 Towards a Unified Framework for Automated a Posteriori Error Estimation and Adaptivity in Space-TimeMarie E. Rognes, Simula Research
Laboratory, Norway; Anders Logg, Chalmers University of Technology, Sweden; Benjamin Kehlet, Simula Research Laboratory, Norway
11:15-11:35 Finite Element Geometric Multigrid Solvers from High-Level Problem DescriptionsLawrence Mitchell, Imperial College
London, United Kingdom; Eike H. Mueller, University of Bath, United Kingdom; David Ham and Colin J. Cotter, Imperial College London, United Kingdom
Tuesday, March 17
MS206Advances in Computational Techniques for Coastal Ocean Modeling - Part I of II10:00 AM-11:40 AMRoom:151 DE
For Part 2 see MS230 Environmental and coastal ocean engineering models yield complex systems combining interdisciplinary techniques. Moreover, their accurate and efficient simulation requires advanced techniques in high performance scientific computing. This minisymposium brings together experts to discuss a number of new ideas for the development, analysis and application of this important class of problems. Specific ideas include the high resolution modeling of weather extremes such as hurricane storm surge, wave propogation, climate change, and flood control.
Organizer: Jennifer ProftUniversity of Texas at Austin, USA
Organizer: Clint DawsonUniversity of Texas at Austin, USA
10:00-10:20 A Parallel Local Timestepping Runge-Kutta Discontinuous Galerkin Method with Applications to Coastal Ocean ModelingClint Dawson, University of Texas at Austin,
USA
10:25-10:45 Physically Based Assessment of Hurricane Surge Threat under Climate ChangeNing Lin, Princeton University, USA
10:50-11:10 Understanding Coastal Hydrodynamic Processes and Mitigating Risk Through High Fidelity Computer SimulationsJoannes Westerink, University of Notre
Dame, USA
11:15-11:35 Development and Validation of DG Wave: a Discontinuous Galerkin-Based Numerical Wave Prediction ModelEthan Kubatko, The Ohio State University,
USA
Tuesday, March 17
MS205Reduced-space PDE-constrained Optimization for Engineering Design10:00 AM-11:40 AMRoom:151 AB
The theme of this minisymposium is the optimization of complex engineering systems that are modelled using computationally-expensive PDE simulations. The focus is on gradient-based algorithms applied to reduced-space formulations, in which the state variables are considered implicit functions of the design via the PDE constraint. Compared with full-space, or "one-shot,” methods, reduced-space formulations offer a simplified and modular approach to optimization. However, despite its long history and popularity, the reduced-space approach continues to present unique challenges, which the speakers will discuss and address.
Organizer: Jason E. HickenRensselaer Polytechnic Institute, USA
Organizer: Graeme KennedyGeorgia Institute of Technology, USA
10:00-10:20 Constraint Aggregation Methods for PDE-Constrained OptimizationGraeme Kennedy, Georgia Institute of
Technology, USA; Jason E. Hicken, Rensselaer Polytechnic Institute, USA
10:25-10:45 A Krylov-Based Iterative Solver for Equality-Constrained Non-Convex Quadratic SubproblemsJason E. Hicken and Alp Dener, Rensselaer
Polytechnic Institute, USA
10:50-11:10 Aerodynamic Shape Optimization with Goal-Oriented Error Estimation and ControlMarian Nemec and Michael Aftosmis,
NASA Ames Research Center, USA
11:15-11:35 Large-Scale PDE-Constrained Fluid-Structure OptimizationGaetan Kenway and Joaquim R. R. A
Martins, University of Michigan, USA
2015 SIAM Conference on Computational Science and Engineering 131
Tuesday, March 17
PD5Thinking of Writing a Book?12:45 PM-2:15 PMRoom:355 D
Chair: Nicholas J. Higham, University of Manchester, United Kingdom
Ever thought about writing a book? Ever wondered just what that entails? This session brings together successful authors and publishing staff to discuss the process. Topics of interest will include:
• Why and when you should consider writing a book
• A step-by-step description of the process, from initial idea to published book
• How to choose a publisher
• The author/publisher relationship – who does what
• Pitfalls to avoid
• Tips from successful authors
Even if you aren’t currently thinking of becoming an author, this session promises to be lively and engaging!
Daniela CalvettiCase Western Reserve University, USA
Eldad HaberEmory University, USA
Ralph SmithNorth Carolina State University, USA
Elizabeth GreenspanSIAM, USA
David MarshallSIAM, USA
Tuesday, March 17
PD4 PanelData Science: What is It and How to Teach It12:45 PM-2:15 PMRoom:355 A
Chair: Christopher Johnson, University of Utah, USA
Chair: Jeff Phillips, University of Utah, USA
Recently, the term Big Data has become ubiquitous. People who can wrangle Big Data are called Data Scientists. According to a number of sources, there is a growing need for people trained as Data Scientists. But what is Data Science? Is Data Science its own field or is it an interdisciplinary mix of Computer Science, Mathematics and Statistics, and Domain Knowledge or perhaps it is really what Statisticians have been doing all along? Since data science at scale involves large-scale computation, what is the relation between data science and computational science in research and education? This panel features leaders in Data Science and Computational Science to discuss the current and future status of Data Science, its relationship to Computational Science, opportunities for Data and Computational Scientists and educating future Data Scientists.
Panelists:To Be Announced
Tuesday, March 17Intermission11:40 AM-11:50 AM
IP8The Power of Matrix and Tensor Decompositions in Smart Patient Monitoring11:50 AM-12:35 PMRoom:355
Chair: Tom Bartol, The Salk Institute, USA
Accurate and automated extraction of clinically relevant information from patient recordings requires an ingenious combination of adequate pretreatment of the data (e.g. artefact removal), feature selection, pattern recognition, decision support, up to their embedding into user-friendly user interfaces. The underlying computational problems can be solved by making use of matrix and tensor decompositions as building blocks of higher-level signal processing algorithms. A major challenge here is how to make the mathematical decompositions 'interpretable’ such that they reveal the underlying medically relevant information and improve medical diagnosis. The application of these decompositions and their benefits will be illustrated in a variety of case studies, including epileptic seizure onset localisation using adult and neonatal scalp EEG and Event-related potential analysis during simultaneous EEG-fMRI acquisition.
Sabine Van HuffelKatholieke Universiteit Leuven, Belgium
Lunch Break12:35 PM-2:15 PMAttendees on their own
Workshop Celebrating Diversity (WCD) Luncheon (by invitation only)12:45 PM-2:15 PMRoom:255 D
132 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS209First Principle Methods and Applications for Computational Materials Science and Chemistry- Part II of III2:15 PM-3:55 PMRoom:250 B
For Part 1 see MS184 For Part 3 see MS234 First principle electronic structure calculations are among the most challenging and computationally demanding science and engineering problems. This minisymposium aims at presenting and discussing new numerical methods for achieving ever higher level of accuracy and efficiency in ground and excited density functional theory calculations, and their applications in computational materials science and chemistry. We propose to bring together physicists, chemists and materials scientists who are involved in improving the numerical development of widely known quantum chemistry and solid-state physics application software packages, with mathematicians and computer scientists who are focusing on advancing the required state-of-the-art mathematical algorithms and parallel implementation.
Organizer: Lin LinUniversity of California, Berkeley, USA
Organizer: Eric PolizziUniversity of Massachusetts, Amherst, USA
Organizer: Chao YangLawrence Berkeley National Laboratory, USA
2:15-2:35 Truly Scalable O(N) Approach for First-Principles Molecular Dynamics (FPMD) of Non-Metallic SystemsJean-Luc Fattebert and Daniel Osei-Kuffuor,
Lawrence Livermore National Laboratory, USA
2:40-3:00 Towards Ab-Initio Simulations of Nanoelectronic DevicesMathieu Luisier, Mauro Calderara, Sascha
Brueck, Hossein Bani-Hashemian, and Joost VandeVondele, ETH Zürich, Switzerland
Tuesday, March 17
MS208Recent Advances in Numerical Methods for Interface Problems - Part I of IV2:15 PM-3:55 PMRoom:250 A
For Part 2 see MS233 Many real world applications are characterized by multiple materials and complex fluids, and they often lead to interface problems. It is imperative to develop efficient and stable numerical methods for these problems. Great efforts have been made for solving interface problems and tracing the moving interfaces in the past decades. However, many challenges, such as the lack of regularity of physical solutions due to the discontinuity across interfaces, still hinder the development of efficient numerical methods. This minisymposium intends to create a forum for researchers from different fields to discuss recent advances on the interface methods and their applications.
Organizer: Xiaoming HeMissouri University of Science and Technology, USA
Organizer: Xiaolin LiState University of New York, Stony Brook, USA
2:15-2:35 Modelling of Fabric Surface for Parachute Inflation through Front TrackingXiaolin Li, State University of New York,
Stony Brook, USA
2:40-3:00 Thermodynamically Consistent and Meta-Stable Equation of State Models for Hydro and Solid DynamicsJohn W. Grove, Los Alamos National
Laboratory, USA
3:05-3:25 Overlapping BEM on FEM computationsFrancisco J. J. Sayas, University of Delaware,
USA; Victor Dominguez, Universidad Pública de Navarra, Spain; Matthew Hassell, University of Delaware, USA
3:30-3:50 An Augmented Method for Stokes-Darcy Coupling and ApplicationsZhilin Li, North Carolina State University,
USA
Tuesday, March 17
MT3Minitutorial: Lab Skills for Scientific Computing - Part I of II2:15 PM-3:55 PMRoom:355
For Part 2 see MT4 Chair: Greg Wilson, Mozilla Foundation, USA
The Software Carpentry project (http://software-carpentry.org) has been teaching basic computing skills to scientists and engineers since 1998. This minitutorial will introduce the tools and techniques that have proven most useful, and show how integrating them can help researchers get more done in less time, and with less pain. This two-part minitutorial will introduce several widely-used practices in software development, explore the empirical evidence showing their benefits (or in some cases the lack thereof), and describe how researchers and research teams can adopt them. Some of the work will be hands-on, so participants are strongly urged to bring a laptop. Warning: real-world examples may be used.
Greg Wilson, Mozilla Foundation, USA
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2015 SIAM Conference on Computational Science and Engineering 133
Tuesday, March 17
MS211Recent Advances in Model Reduction - Part II of V2:15 PM-3:55 PMRoom:250 D
For Part 1 see MS187 For Part 3 see MS236 Model reduction has become an increasingly important tool to mitigate the computational burden of modeling and simulation in time-critical (e.g., model-predictive control) and many query (e.g., Bayesian inversion) applications. This minisymposium presents recent advances that address the primary challenges facing such methods, such as preserving intrinsic problem structure, handling high-dimensional parameter spaces, integration with existing simulation codes, stability, optimization and uncertainty quantification and control.
Organizer: Kevin T. CarlbergSandia National Laboratories, USA
Organizer: Gianluigi RozzaSISSA, International School for Advanced Studies, Trieste, Italy
2:15-2:35 Reduced Order Modeling of Geophysical FlowsTraian Iliescu, Virginia Tech, USA
2:40-3:00 Energy-based Inner Products for POD/Galerkin Model Reduction for Compressible FlowsJeffrey Fike, Irina Kalashnikova, Matthew
Barone, and Srinivasan Arunajatesan, Sandia National Laboratories, USA
3:05-3:25 Data-driven Optimal Rational Approximation via Numerical QuadratureChristopher A. Beattie, Virginia Tech, USA;
Zlatko Drmac, University of Zagreb, Croatia; Serkan Gugercin, Virginia Tech, USA
3:30-3:50 Efficient Reduced Basis Methods for Contact and Related ProblemsKaren Veroy-Grepl, Zhenying Zhang,
Eduard Bader, and Mark Kaercher, RWTH Aachen University, Germany
Tuesday, March 17
MS210Resilient, Extreme -scale Numerical Algorithms - Part II of II2:15 PM-3:55 PMRoom:250 C
For Part 1 see MS186 Computer architectures are undergoing fundamental changes that will require the rethinking and invention of numerical algorithms suitable for computing at extreme scales (over 100 PFlops). Numerical solver technologies are needed that favor computation over data motion, that expose much greater concurrency, and that are resilient to increasing soft and hard faults. This minisymposium will feature progress in the development of such algorithms by several projects funded by the DOE Resilient Extreme- Scale Solvers initiative. A breadth of topics will be addressed, including algebraic multigrid, methods for hyperbolic conservation laws, Particle- In-Cell algorithms, and stochastic methods for linear systems.
Organizer: John LoffeldLawrence Livermore National Laboratory, USA
Organizer: Andrew MyersLawrence Berkeley National Laboratory, USA
Organizer: Jeffrey A. HittingerLawrence Livermore National Laboratory, USA
2:15-2:35 Parallel Algorithms for the Monte Carlo Synthetic Acceleration Linear Solver MethodStuart Slattery, Tom Evans, and Steven
Hamilton, Oak Ridge National Laboratory, USA
2:40-3:00 Iterative Performance of Monte Carlo Linear Solver MethodsMassimiliano Lupo Pasini, Emory University,
USA
3:05-3:25 Comparative Performance Analysis of an Algebraic Multigrid Solver on Leading Multicore ArchitecturesAlex Druinsky, Brian Austin, Xiaoye Sherry
Li, Osni A. Marques, Eric Roman, and Samuel Williams, Lawrence Berkeley National Laboratory, USA
3:30-3:50 Segmental Refinement: A Multigrid Technique for Data LocalityMark Adams, Lawrence Berkeley National
Laboratory, USA
3:05-3:25 Using Next-generation Architectures to Model Large and Complex Molecular EnvironmentsBert de Jong, Hongzhang Shan, and Leonid
Oliker, Lawrence Berkeley National Laboratory, USA
3:30-3:50 Ab Initio Quantum Monte Carlo in Computational Materials Science and ChemistryPaul Kent, Oak Ridge National Laboratory,
USA
134 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS214Efficient Algorithms for Variational Methods in Imaging - Part I of II2:15 PM-3:55 PMRoom:251 A
For Part 2 see MS239 We address recent advances in algorithms for variational methods in imaging with a particular focus on non-rigid image registration. We also discuss the use of priors in order to supervise algorithms and provide more plausible results in particular applications. The associated large-scale mathematical problems manifest as formidable, often ill-behaved systems. Key algorithmic challenges include computational complexity, memory consumption, a vast number unknowns as well as model and data uncertainties. We showcase state-of-the-art techniques in scientific computing to tackle these challenges.
Organizer: Andreas MangUniversity of Texas at Austin, USA
Organizer: George BirosUniversity of Texas at Austin, USA
2:15-2:35 Constrained Optimal Control Approaches in Large Deformation Diffeomorphic Metric MappingLaurent Younes, Johns Hopkins University,
USA
2:40-3:00 Nonlinear Image Registration with a Sliding Motion Deformation ModelAlexander Derksen, University of Lübeck,
Germany
3:05-3:25 Efficient Algorithms for High-Resolution Diffusion-Weighted MRILars Ruthotto, Emory University, USA
3:30-3:50 Efficient Algorithms for Physically Constrained Diffeomorphic Image RegistrationAndreas Mang and George Biros, University
of Texas at Austin, USA
Tuesday, March 17
MS213Sparse and Compressible Representations: Theory, Algorithms and Applications - Part II of III2:15 PM-3:55 PMRoom:250 F
For Part 1 see MS189 For Part 3 see MS238 By focusing effort on identifying dominant terms of a function representation one can often accurately approximate the function from limited data. Sparsity detection also referred to as compressed sensing and l1-minimization is one approach that is extremely effective at identifying the dominant terms of a function expansion. Recently there have been many advances in l1-minimization including strategies for sampling, preconditioning and high-dimensional basis selection that attempt to maximize the accuracy of recovered signals whilst minimizing the number of signal samples. This minisymposium presents recent theoretical results, numerical methods and applications of sparse approximations, including but not limited to uncertainty quantification (UQ) and sensitivity analysis (SA).
Organizer: John D. JakemanSandia National Laboratories, USA
Organizer: Khachik SargsyanSandia National Laboratories, USA
2:15-2:35 Sampling Strategies for L1 MinimizationJohn D. Jakeman, Sandia National
Laboratories, USA; Akil Narayan, University of Massachusetts, Dartmouth, USA
2:40-3:00 Reweighted Minimization Method for Uncertainty Quantification of Microscopic ModelingGuang Lin, Xiu Yang, and Huan Lei, Pacific
Northwest National Laboratory, USA
3:05-3:25 Least Square Methods for Low-Rank Approximations with Sparsity Inducing RegularizationPrashant Rai, Ecole Centrale de Nantes,
France; Mathilde Chevreuil, Université de Nantes, France; Loïc Giraldi and Anthony Nouy, Ecole Centrale de Nantes, France
3:30-3:50 Interpolation Via Weighted L1 MinimizationRachel Ward, University of Texas at Austin,
USA; Holger Rauhut, RWTH Aachen University, Germany
Tuesday, March 17
MS212Advances in Time-stepping Methods - Part IV of V2:15 PM-3:55 PMRoom:250 E
For Part 3 see MS188 For Part 5 see MS237 Time-stepping methods are numerical methods for the time evolution of ODEs, DAEs, and PDEs in the method-of-lines framework. Many applications require specialized time-stepping methods in order to enhance efficiency or capture particular theoretical properties such as positivity, symplecticity, and strong-stability-preservation or practical properties such as parallelization on emerging high-performance architectures, component (e.g., multirate or local time-stepping) and physics (IMEX or semi-implicit) splittings based on sub-system properties, and reliable error estimation and control. The talks in this minisymposium will describe recent novel developments in time-stepping methods and demonstrate their benefits in practical applications.
Organizer: Emil M. ConstantinescuArgonne National Laboratory, USA
Organizer: Michael GuentherBergische Universität, Germany
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Raymond J. SpiteriUniversity of Saskatchewan, Canada
2:15-2:35 Strong Stability Preserving General Linear MethodsZdzislaw Jackiewicz, Arizona State
University, USA
2:40-3:00 Stability-Optimized Time Integrators for WENO DiscretizationsDavid I. Ketcheson, King Abdullah
University of Science & Technology (KAUST), Saudi Arabia; Debojyoti Ghosh, Argonne National Laboratory, USA
3:05-3:25 Implicit-Explicit General Linear MethodsHong Zhang, Virginia Tech, USA
3:30-3:50 Optimal Explicit Strong Stability Preserving Runge–Kutta Methods with High Linear Order and Optimal Nonlinear OrderSigal Gottlieb, Zachary J. Grant, and Daniel
L. Higgs, University of Massachusetts, Dartmouth, USA
2015 SIAM Conference on Computational Science and Engineering 135
Tuesday, March 17
MS217Computational Benchmarks for Soft Materials and Complex Fluids at the Mesoscale - Part II of III2:15 PM-3:55 PMRoom:251 D
For Part 1 see MS193 For Part 3 see MS242 Computational modeling of multiphysical processes at the mesoscale is becoming increasingly important for applications in micro-/nano-technology, next-generation battery technology, material assembly and biological systems. In this minisymposium we address mathematical modeling along with numerical schemes that can effectively capture mesoscale multiphysics such as hydrodynamics, transport, electrostatics and chemical reaction. Desirable features of the numerical schemes include robustness, accuracy, scalability, as well as potential to cross scales as a multiscaling framework. The benchmark applications that we are interested in include mixing and separation processes in micro-/nano-channel, semi-permeable membranes, diffusive transport and electrochemical reaction in porous electrode, colloid and nanoparticle assembly, as well as macromolecular conformational change.
Organizer: Mauro PeregoSandia National Laboratories, USA
Organizer: Wenxiao PanPacific Northwest National Laboratory, USA
Organizer: Nathaniel TraskBrown University, USA
Organizer: Kyungjoo KimSandia National Laboratories, USA
2:15-2:35 Meshless Methods for the Mesoscale - High Order Implicit ALE Schemes using Collocated MLSNathaniel Trask, Brown University, USA;
Kyungjoo Kim and Mauro Perego, Sandia National Laboratories, USA
Tuesday, March 17
MS216Water Resources Management: How to add it all up 2:15 PM-3:55 PMRoom:251 C
Part of the SIAM Workshop Celebrating Diversity
Techniques from systems theory are used to create decision support systems for the management of water resources. Development of sustainable engineering solutions in which the competing objectives of economic growth and environmental protection is aided by combined physics based models and optimization. These types of solutions have been found to be more effective when originating at a local level as it allows stakeholder/decision maker interaction. This session will present methods for managing limited and decreasing water resources at the local/regional level.
Organizer: Elma A. UddameriTexas Tech University, USA
Organizer: Raegan HigginsTexas Tech University, USA
Organizer: Susan E. MinkoffUniversity of Texas at Dallas, USA
Organizer: Stephen WirkusArizona State University, USA
2:15-2:35 Approaches to Evaluate Interactions in Collaborative Groundwater ManagementJoseph Amaya, Texas A&M University,
Kingsville, USA
2:40-3:00 Managing Surface Water Resources in Data Sparse RegionsFelipe Estrada, Texas Tech University, USA
3:05-3:25 Application of Simulation-Optimization for Water Management in Hydraulic Fracturing OperationsElma A. Uddameri, Texas Tech University,
USA
3:30-3:50 Climate Change and Water ScarcityDonna Mitchell, Texas Tech University, USA
Tuesday, March 17
MS215Numerical Methods for High-Dimensional Stochastic and Parametric Problems - Part II of V2:15 PM-3:55 PMRoom:251 B
For Part 1 see MS191 For Part 3 see MS240 Development of scalable numerical methods for the solution of problems with high-dimensional stochastic or parametric inputs has been a subject of active research in computational sciences and engineering. This is motivated by the need to reduce the issue of curse-of-dimensionality, i.e., exponential increase of computational complexity, in predictive simulation of physical systems where accurate specification of governing laws entails a large number of parameters or stochastic variables. To this end, several novel approaches based on multi-level, reduced order, sparse, and low-rank approximations have been recently developed. This minisymposium presents state-of- the-art in such developments for various aspects of high-dimensional computation, including analysis, algorithms, implementation, and applications.
Organizer: Dongbin XiuUniversity of Utah, USA
Organizer: Alireza DoostanUniversity of Colorado Boulder, USA
2:15-2:35 Sparse, Adaptive Smolyak Quadrature Algorithms for Stochastic Inverse ProblemsChristoph Schwab and Claudia Schillings,
ETH Zürich, Switzerland
2:40-3:00 Accelerated Bayesian Inference with Transport MapsMatthew Parno and Youssef M. Marzouk,
Massachusetts Institute of Technology, USA
3:05-3:25 Quasi Optimal Sparse-Grid Approximation of Random Elliptic PDEsLorenzo Tamellini and Fabio Nobile,
EPFL, Switzerland; Raul F. Tempone, King Abdullah University of Science & Technology (KAUST), Saudi Arabia
3:30-3:50 Title Not Available at Time of PublicationMichael S. Eldred, Sandia National
Laboratories, USA continued on next page
136 2015 SIAM Conference on Computational Science and Engineering
3:05-3:25 Displacement Data AssimilationJuan M. Restrepo, Oregon State University,
USA; Steven Rosenthal and Shankar C. Venkataramani, University of Arizona, USA; Arthur Mariano, University of Miami, USA
3:30-3:50 A Sampling Filter for Non-Gaussian Data AssimilationAhmed Attia and Adrian Sandu, Virginia Tech,
USA
Tuesday, March 17
MS218Inverse Problems and Data Assimilation - Part III of VI2:15 PM-3:55 PMRoom:251 E
For Part 2 see MS194 For Part 4 see MS243 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to:
1) deterministic and statistical approaches to inversion problems and data assimilation;
2) reduced order modeling inversion framework;
3) treatment of nonlinear and non-smooth processes;
4) sensitivity analysis and its application to adaptive (targeting) observation;
5) operational data assimilation systems;
6) uncertainties impact studies;
7) automatic tools to support inversion and data assimilation methodologies.
Organizer: Razvan StefanescuVirginia Tech, USA
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Ionel M. NavonFlorida State University, USA
Organizer: Dacian N. DaescuPortland State University, USA
2:15-2:35 Bayesian Nonlinear Smoothing and Adaptive SamplingPierre F.J Lermusiaux and Tapovan Lolla,
Massachusetts Institute of Technology, USA
2:40-3:00 An Information Theoretic Approach to Use High-Fidelity Codes to Calibrate Low-Fidelity CodesAllison Lewis and Ralph C. Smith, North
Carolina State University, USA; Brian Williams, Los Alamos National Laboratory, USA
Tuesday, March 17
MS217Computational Benchmarks for Soft Materials and Complex Fluids at the Mesoscale - Part II of III2:15 PM-3:55 PMcontinued
2:40-3:00 Efficient Parallel Implementation of Implicit SPH/MLS using LAMMPS and TrilinosKyungjoo Kim and Mauro Perego, Sandia
National Laboratories, USA; Nathaniel Trask, Brown University, USA; Michael L. Parks, Sandia National Laboratories, USA
3:05-3:25 Classical Density Functional Theory of Charged Fluids at InterfacesAmalie Frischknecht, Sandia National
Laboratories, USA
3:30-3:50 Interface Resolved Numerical Method to Study Electrokinetic Particle Assembly in MicrodevicesPrashanta Dutta, Washington State
University, USA
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2015 SIAM Conference on Computational Science and Engineering 137
Tuesday, March 17
MS221Parallel Computing for Partial Differential Equations on CPUs, GPUs, and Intel Phi - Part II of II2:15 PM-3:55 PMRoom:254 B
For Part 1 see MS197 Modern architectures including multi-core CPUs, massively parallel GPUs, and many-core accelerators such as the 60-core Intel Phi processor offer great opportunities for speeding up computations. They pose significant challenges due to the hybrid programming models and libraries that need to be used, ranging from distributed-memory computing with MPI, multi-threading with OpenMP, CUDA on GPUs, offloading to the Phi, for instance. This minisymposium will share experiences with parallel code and numerical algorithms from fundamental test problems over established benchmark codes to specialized research code. The minisymposium will start with an overview and contrast of the architectures and include the opportunity for the audience to discuss their own experiences.
Organizer: Matthias K. GobbertUniversity of Maryland, Baltimore County, USA
Organizer: Ulrich J. RuedeUniversity of Erlangen-Nuremberg, Germany
2:15-2:35 Multigrid Solvers on Heterogeneous ArchitecturesBjörn Gmeiner, Daniel Iuhasz, Sebastian
Kuckuk, Markus Stuermer, Harald Koestler, and Ulrich J. Ruede, University of Erlangen-Nuremberg, Germany
2:40-3:00 Speeding Up Sparse Triangular Solution on Multicores and GPUsHumayun Kabir, Joshua D. Booth, and Padma
Raghavan, Pennsylvania State University, USA
3:05-3:25 Applications of Distributed Methods to Non-Traditional Linear SystemsJulian Gilyard, Wake Forest University, USA;
Thomas Stitt, Pennsylvania State University, USA; Oluwapelumi Adenikinju and Joshua Massey, University of Maryland, Baltimore County, USA
3:30-3:50 General SpMV and SpMM for AMG on GPUsRobert Strzodka, NVIDIA, USA
Tuesday, March 17
MS220Numerical Methods for Multimaterial Flows with Deforming Boundaries - Part II of III2:15 PM-3:55 PMRoom:254 A
For Part 1 see MS196 For Part 3 see MS245 Multimaterial flows with deforming boundaries appear in many applications involving biological flows, medicine, industry, and homeland security. As the number of applications grow, so too the amount of research into developing and improving existing numerical methods for deforming boundary problems in multi-material flows. In this minisymposium, novel numerical methods will be presented that address efficiency and accuracy in adaptive mesh refinement algorithms, scalability on high performance computing platforms, robust interface capturing methods, numerical methods for phase change (freezing, boiling, evaporation), and numerical methods for enforcing boundary conditions at deforming boundary interfaces.
Organizer: Mark SussmanFlorida State University, USA
Organizer: Frederic G. GibouUniversity of California, Santa Barbara, USA
Organizer: Feng XiaoTokyo Institute of Technology, Japan
2:15-2:35 A Robust and Efficient Solver for Interfacial Multi-phase Flows on Unstructured GridsFeng Xiao, Bin Xie, and Sun Ziyao, Tokyo
Institute of Technology, Japan
2:40-3:00 Reconstructed Discontinuous Galerkin (RDG) Method for Multi-Material Flows on Unstructured MeshesRobert Nourgaliev and Sam Schofield,
Lawrence Livermore National Laboratory, USA
3:05-3:25 A New Incompressibility Discretization for a Hybrid Particle Mac Grid Representation with Surface TensionWen Zheng and Bo Zhu, Stanford University,
USA; Byungmoon Kim, Adobe Systems, USA; Ronald Fedkiw, Stanford University, USA
3:30-3:50 An Eulerian Projection Method for Quasi-Static ElastoplasticityChris H. Rycroft, Harvard University, USA
Tuesday, March 17
MS219Uncertainty Quantification Methods for Power Grid Systems - Part II of II2:15 PM-3:05 PMRoom:251 F
For Part 1 see MS195 The properties of many operational and structural elements of power grid models are typically known to some degree of certainty. Examples include grid topology and state, including knowledge of what lines are down; model parameters, such as generator/load/line electrical and performance characteristics; and operational conditions, such as renewable generator and load levels. In this minisymposium we bring together modeling contributions for the treatment of these uncertainties, to improve the design and operation of power grids.
Organizer: Cosmin SaftaSandia National Laboratories, USA
Organizer: Ali PinarSandia National Laboratories, USA
Organizer: Jean-Paul WatsonSandia National Laboratories, USA
2:15-2:35 Statistical Metrics for Assessing Quality of Scenarios for Unit Commitment and DispatchSarah M. Ryan and Didem Sari, Iowa State
University, USA
2:40-3:00 Adaptive Robust Optimization with Dynamic Uncertainty Sets for Power System OperationsAndy Sun and Alvaro Lorca, Georgia Institute
of Technology, USA
138 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS224Low-rank Optimization with Applications - Part I of II2:15 PM-3:55 PMRoom:150 DE
For Part 2 see MS249 Low-rank matrices and tensors are a popular modeling tool in machine learning and an effective approximation class in many high-dimensional problems. At the same time, low-rank approximations can potentially lead to significant computational savings in algorithms that have to deal with large and dense matrices. This minisymposium showcases recent work in this area by focusing on low-rank optimization. The applications include subspace tracking, nonlinear programming, tensor completion, and high-dimensional eigenvalue problems, while the algorithmic techniques involve greedy algorithms, stochastic optimization, preconditioning, and optimization on manifolds.
Organizer: Bart VandereyckenPrinceton University, USA
Organizer: Daniel KressnerEPFL, Switzerland
2:15-2:35 Preconditioned Riemannian Optimization for Low-Rank Tensor EquationsBart Vandereycken, Princeton University,
USA
2:40-3:00 Semi-Supervised Robust Matrix Completion for Dynamic Subspace Estimation and TrackingHassan Mansour, Mitsubishi Electric
Research Laboratories, USA
3:05-3:25 Low-rank Approximation of Matrices and Tensors for Dynamical and Optimization ProblemsIvan Oseledets, Denis Kolesnikov, and
Mikhail Litsarev, Skolkovo Institute of Science and Technology, Russia
3:30-3:50 Greedy Algorithms for Parametric Eigenvalue ProblemsVirginie Ehrlacher, CERMICS, France
Tuesday, March 17
MS223Hybrid and Multilevel Approaches to Kinetic Equations - Part IV of IV2:15 PM-3:55 PMRoom:150 AB
For Part 3 see MS199 In recent years, a significant amount of effort has been directed to solving kinetic equations. Generally, kinetic equations have posed a challenge due to the large phase space associated with the equations, however algorithmic advances and advances in computer hardware have made these simulations more tractable. In this minisymposium, we consider hybrid and multilevel approaches to solving kinetic equations.
Organizer: Jeffrey A. WillertLos Alamos National Laboratory, USA
Organizer: Cory HauckOak Ridge National Laboratory, USA
Organizer: Ryan McClarrenTexas A&M University, USA
Organizer: Martin FrankRWTH - Aachen University of Technology, Germany
Organizer: Jingmei QiuUniversity of Houston, USA
2:15-2:35 A Multigrid Method for Two-Dimensional Discrete-Ordinates Radiation-Transport CalculationsJeffery D. Densmore, Daniel Gill, and Justin
Pounders, Bettis Laboratory, USA
2:40-3:00 Multilevel Projection Method for Nonlinear Radiative Transfer ProblemsDmitriy Y. Anistratov, North Carolina State
University, USA
3:05-3:25 Multilevel Monte Carlo Methods for Kinetic EquationsLee F. Ricketson, Courant Institute of
Mathematical Sciences, New York University, USA
3:30-3:50 A Conservative High-Order/ Low-Order Method Based Upon a Non-Conservative High-Order Least Squares Sn FormulationJacob Peterson and Jim E. Morel, Texas
A&M University, USA
Tuesday, March 17
MS222Industrial Mathematics Education2:15 PM-3:55 PMRoom:254 C
Organized by the SIAM Education Committee
Industrial Mathematics Education takes many forms: internships, mathematical modeling courses, team projects and research collaborations. This minisymposium will present industrial mathematics from multiple perspectives, such as faculty mentor, industry liaison and student researcher.
Organizer: Rachel LevyHarvey Mudd College, USA
2:15-2:35 Industrial Mathematics Education at Worcester Polytechnic InstituteMarcel Blais, Worcester Polytechnic
Institute, USA
2:40-3:00 A Student Perspective on Industrial Capstones at Harvey Mudd CollegeElizabeth Schofield, Harvey Mudd College,
USA
3:05-3:25 A New Curriculum in Applied and Computational MathematicsJeffrey Humpherys, Brigham Young
University, USA
3:30-3:50 PIC Math: Preparation for Industrial Careers in Mathematical SciencesMichael Dorff, Brigham Young University,
USA
2015 SIAM Conference on Computational Science and Engineering 139
Tuesday, March 17
MS226Advances in Multigrid Methods and Their Applications - Part II of II2:15 PM-3:55 PMRoom:259
For Part 1 see MS202 Multigrid is the most successful and generally-applicable scalable approach to solving problems with a hierarchy of scales in application areas such as elliptic PDEs, optimization, inversion, and image processing. Scalable methods are increasingly essential as hardware evolution and algorithmic advances enable the solution of larger scale problems in science and engineering applications. This session brings together researchers developing multigrid and related methods to assess the state of the art, recent theoretical advances, and novel applications.
Organizer: Zichao DiArgonne National Laboratory, USA
Organizer: Maria EmelianenkoGeorge Mason University, USA
Organizer: Jed BrownArgonne National Laboratory, USA and University of Colorado Boulder, USA
2:15-2:35 Fast Algorithms for Shape Analysis of Planar ObjectsGunay Dogan, National Institute of
Standards and Technology, USA
2:40-3:00 Deflation-based Domain Decomposition MethodsPierre Jolivet, ETH Zürich, Switzerland;
Frederic Nataf, Laboratoire Jacques-Louis Lions, France; Christophe Prud’homme, University of Strasbourg, France
3:05-3:25 The Auxiliary Space Solvers and Its ApplicationsLu Wang, Pennsylvania State University,
USA
3:30-3:50 Multiscale Methods for NetworksIlya Safro, Clemson University, USA
3:05-3:25 Accurate Adaptive Loops for Finite Deformation Plasticity in AlbanyBrian Granzow, Rensselaer Polytechnic
Institute, USA; Glen Hansen, Sandia National Laboratories, USA; Dan A. Ibanez and Mark S. Shephard, Rensselaer Polytechnic Institute, USA
3:30-3:50 Variational Multiscale Analysis of Stochastic Partial Differential Equations in AlbanyOnkar Sahni, Jason Li, Jayanth Jagalur-
Mohan, and Assad Oberai, Rensselaer Polytechnic Institute, USA
Tuesday, March 17
MS225Deployment and Application of Technologies provided by the FASTMath Institute - Part II of II2:15 PM-3:55 PMRoom:258
For Part 1 see MS201 The FASTMath SciDAC Institute develops and deploys scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena. These tools include structured and unstructured mesh techniques, linear and nonlinear solvers, eigensolvers and time integration methods. Research efforts are focused on developing a full range of accurate and robust technologies that support different application codes specifically those employed by the Department of Energy’s domain scientists. This minisymposium will place emphasis on application of FASTMath tools on SciDAC and related applications. Speakers will discuss the challenges in different application areas and the impact of the latest developments in FASTMath tools.
Organizer: Onkar SahniRensselaer Polytechnic Institute, USA
Organizer: Lori A. DiachinLawrence Livermore National Laboratory, USA
2:15-2:35 Massively Parallel Flow Simulation using PETScMichel Rasquin and Benjamin Matthews,
University of Colorado Boulder, USA; Cameron Smith, Rensselaer Polytechnic Institute, USA; Kenneth Jansen, University of Colorado Boulder, USA
2:40-3:00 Albany: A Trilinos-based code for Ice Sheet Simulations and other ApplicationsAndrew Salinger, Glen Hansen, Irina
Kalashnikova, Mauro Perego, and Ray S. Tuminaro, Sandia National Laboratories, USA
continued in next column
140 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS229Efficient Solvers for PDE-constrained Optimization - Part I of II2:15 PM-3:55 PMRoom:151 AB
For Part 2 see MS252 Optimization problems constrained by partial differential equations arise in a wide range of applications in science and engineering. From a computational viewpoint their solution pose various challenges. One of these challenges is the development of efficient solution methods, which must often be adapted to each specific problem class. The aim of this minisymposium is to bring together researchers to report on recent developments on efficient methods for solving PDE-constrained problems.
Organizer: Simon W. FunkeSimula Research Laboratory, Norway
Organizer: Kent-Andre MardalUniversity of Oslo, and Simula Research Laboratory, Norway
Organizer: Marie E. RognesSimula Research Laboratory, Norway
2:15-2:35 Nonstandard Sobolev Spaces for Preconditioning Mixed MethodsWalter Zulehner, University of Linz, Austria;
Wolfgang Krendl, Johannes Kepler University Linz, Austria
2:40-3:00 Preconditioning of Active-Set Newton Methods for PDE-Constrained Optimal Control ProblemsMargherita Porcelli, Valeria Simoncini, and
Mattia Tani, Universita’ di Bologna, Italy
3:05-3:25 HPC Methods for Structured Inverse Modeling in Diffusive ProcessesMartin Siebenborn and Volker H. Schulz,
University of Trier, Germany
3:30-3:50 Parallel Preconditioning for Time-Dependent PDE-Constrained OptimizationEleanor McDonald and Andy Wathen,
University of Oxford, United Kingdom
Tuesday, March 17
MS228Recent Advances in High Order Spatial Discretization Methods for PDEs - Part II of III2:15 PM-3:55 PMRoom:260 B
For Part 1 see MS204 For Part 3 see MS251 Many complex physical phenomena can be modeled by partial differential equations and the numerical simulation of PDEs has been an active research area. This minisymposium aims to bring researchers together to discuss the numerical challenges when designing high order spatial discretization methods for time-dependent/static PDEs, with particular attention on weighted essentially non-oscillatory (WENO) methods and discontinuous Galerkin (DG) methods.
Organizer: Yuan LiuMichigan State University, USA
Organizer: Qi TangMichigan State University, USA
Organizer: Andrew J. ChristliebMichigan State University, USA
2:15-2:35 A Simple Weighted Essentially Non-oscillatory Limiter for the Correction Procedure via Reconstruction (CPR) FrameworkJie DU Jie, University of Science and
Technology of China, China; Chi-Wang Shu, Brown University, USA; Mengping Zhang, University of Science and Technology of China, China
2:40-3:00 Compact-Reconstruction WENO on Non-uniform MeshesKilian Cooley and James Baeder, University
of Maryland, USA
3:05-3:25 A Compact-Reconstruction WENO Scheme with Semi-Implicit Time IntegrationDebojyoti Ghosh and Emil M.
Constantinescu, Argonne National Laboratory, USA
3:30-3:50 Superconvergence Properties of Discontinuous Galerkin Methods Based on Upwind-Biased Fluxes for Linear Hyperbolic EquationsDaniel Frean, University of East Anglia,
United Kingdom
Tuesday, March 17
MS227Software Components for Integral Equation Methods - Part IV of IV2:15 PM-3:55 PMRoom:260 A
For Part 3 see MS203 Due to recent advances in the underlying technology, integral equations have become highly competitive in attacking the most challenging of elliptic, globally-coupled PDE problems. However, compared to a standard off-the-shelf finite element methods, a larger amount of machinery is involved, including fast algorithms, preconditioners, and singular quadrature methods. To make this theoretically attractive family of methods practically usable, many of these components need to be readily available in software form. This minisymposium seeks to bring together practitioners and researchers with the goal of encouraging exchange of ideas and discovering opportunities for collaboration in this direction.
Organizer: Timo BetckeUniversity College London, United Kingdom
Organizer: Andreas KloecknerUniversity of Illinois, USA
2:15-2:35 Robust Algorithms for Periodic Problems and Evaluation of Layer PotentialsAlex H. Barnett, Dartmouth College and
Simons Foundation, USA; Shravan Veerapaneni, University of Michigan, USA; Adrianna Gillman, Rice University, USA; Min Hyung Cho, Lin Zhao, and Yuxiang Liu, Dartmouth College, USA; Bowei Wu and Gary Marple, University of Michigan, USA; Leslie Greengard, Simons Foundation and Courant Institute of Mathematical Sciences, New York University, USA
2:40-3:00 Title Not Available at Time of PublicationDenis Zorin, Courant Institute of Mathematical
Sciences, New York University, USA
3:05-3:25 Adaptive Boundary Element MethodsMichael Feischl, Thomas Führer, Gregor
Ganter, Alexander Haberl, and Dirk Praetorius, Vienna University of Technology, Austria
3:30-3:50 Fast Algorithms for the Evaluation of Layer Potentials using ‘Quadrature by Expansion’Andreas Kloeckner, University of Illinois, USA
2015 SIAM Conference on Computational Science and Engineering 141
Tuesday, March 17
MT4Minitutorial: Lab Skills for Scientific Computing - Part II of II4:25 PM-6:05 PMRoom:355
For Part 1 see MT3 Chair: Greg Wilson, Mozilla Foundation, USA
The Software Carpentry project (http://software-carpentry.org) has been teaching basic computing skills to scientists and engineers since 1998. This minitutorial will introduce the tools and techniques that have proven most useful, and show how integrating them can help researchers get more done in less time, and with less pain. This two-part minitutorial will introduce several widely-used practices in software development, explore the empirical evidence showing their benefits (or in some cases the lack thereof), and describe how researchers and research teams can adopt them. Some of the work will be hands-on, so participants are strongly urged to bring a laptop. Warning: real-world examples may be used.
Greg Wilson, Mozilla Foundation, USA
Tuesday, March 17
MS231Advances in High Level Finite Element Systems - Part II of II2:15 PM-3:55 PMRoom:151 G
For Part 1 see MS207 Many modern software projects utilize the high level of mathematical abstraction provided by finite element methods to develop powerful libraries that hide or even automate many practical computational details. Such codes increase programmer productivity, decrease potential sources of errors, and simplify the implementation of complex calculations such as h/p adaptivity and adjoint-based optimization. This minisymposium will bring together key participants from Deal.II, Dune, FEniCS, Dolfin-adjoint, Firedrake and Nektar++ to communicate the latest advances in and applications of such finite element systems.
Organizer: David HamImperial College London, United Kingdom
Organizer: Rob KirbyBaylor University, USA
2:15-2:35 Mesh-Independent Convergence for PDE-Constrained Optimisation Solvers in Dolfin-AdjointSimon W. Funke and Magne Nordaas, Simula
Research Laboratory, Norway
2:40-3:00 Simulating Coupled Pressure-Temperature Equations for Trace Gas Sensors Using FEniCS and PETScBrian W. Brennan, Baylor University, USA
3:05-3:25 Spectral/HP Element Modelling in Nektar++David Moxey, Chris Cantwell, and Spencer
Sherwin, Imperial College London, United Kingdom; Mike Kirby, University of Utah, USA
3:30-3:50 Supporting Modern HPC Hardware in the DUNE FrameworkChristian Engwer and Fahlke Jorrit,
University of Münster, Germany; Steffen Müthing, Heidelberg University, Germany
Coffee Break3:55 PM-4:25 PMRoom:255
Tuesday, March 17
MS230Advances in Computational Techniques for Coastal Ocean Modeling - Part II of II2:15 PM-3:55 PMRoom:151 DE
For Part 1 see MS206 Environmental and coastal ocean engineering models yield complex systems combining interdisciplinary techniques. Moreover, their accurate and efficient simulation requires advanced techniques in high performance scientific computing. This minisymposium brings together experts to discuss a number of new ideas for the development, analysis and application of this important class of problems. Specific ideas include the high resolution modeling of weather extremes such as hurricane storm surge, wave propogation, climate change, and flood control.
Organizer: Jennifer ProftUniversity of Texas at Austin, USA
Organizer: Clint DawsonUniversity of Texas at Austin, USA
2:15-2:35 Computational Modeling of Storm Surge in Galveston BayJennifer Proft, University of Texas at Austin,
USA
2:40-3:00 Three-Dimensional Coupled Wind-Wave and Cohesive Sediment Transport Modeling in South San Francisco BayOliver Fringer, Stanford University, USA
3:05-3:25 Strengthening the Hurricane Wave and Surge Forecast Guidance provided to Coastal Communities in North CarolinaRosemary Cyriac and J. Casey Dietrich, North
Carolina State University, USA; Jason Fleming, Seahorse Coastal Consulting, USA; Brian Blanton, University of North Carolina, Chapel Hill, USA; Rick Luettich, University of North Carolina, Moorehead City, USA
3:30-3:50 Discontinuous Galerkin Methods for Spectral Wave/Circulation ModelingJessica Meixner, University of Notre Dame,
USA
142 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS233Recent Advances in Numerical Methods for Interface Problems - Part II of IV4:25 PM-6:05 PMRoom:250 A
For Part 1 see MS208 For Part 3 see MS257 Many real world applications are characterized by multiple materials and complex fluids, and they often lead to interface problems. It is imperative to develop efficient and stable numerical methods for these problems. Great efforts have been made for solving interface problems and tracing the moving interfaces in the past decades. However, many challenges, such as the lack of regularity of physical solutions due to the discontinuity across interfaces, still hinder the development of efficient numerical methods. This minisymposium intends to create a forum for researchers from different fields to discuss recent advances on the interface methods and their applications.
Organizer: Xiaoming HeMissouri University of Science and Technology, USA
Organizer: Xiaolin LiState University of New York, Stony Brook, USA
4:25-4:45 Microstructure for Free Surface FlowsJames G. Glimm, State University of New
York, Stony Brook, USA
4:50-5:10 A Fictitious Domain Method with a Hybrid Cell Model for Simulating Motion of Cells in Fluid FlowZhiliang Xu, University of Notre Dame, USA
5:15-5:35 Volume-Preserving Adaptive Moment-of-Fluid Method for Interface TrackingShengtai Li, Los Alamos National Laboratory,
USA; Hyung T. Ahn, University of Ulsan, South Korea; Mikhail Shashkov, Los Alamos National Laboratory, USA
5:40-6:00 Dissipation and Dispersion Errors of Discontinuous Galerkin Method and Its Application to Level Set EquationsJue Yan, Iowa State University, USA
Tuesday, March 17
MS232Educational Applications of Agent-Based Modeling4:25 PM-6:05 PMRoom:355 A
This minisymposium will focus on educational applications of agent-based simulations across science and engineering curricula at all levels with a variety of technology environments. Specialized tools such as AgentSheets and NetLogo, along with Excel and JavaScript templates, introduce students to agent-based modeling, computational thinking, and their underlying mathematical foundation. College faculty and high school teachers will demonstrate how interesting agent-based simulations inform students about the content and method of numerical modeling while increasing the number and diversity of students excited about science. Moreover, agent-based modeling enhances student understanding of computational science and appreciation of its rich variety of scientific applications.
Organizer: Angela B. ShifletWofford College, USA
Organizer: Robert M. PanoffShodor, USA
4:25-4:45 Applying Run-Modify-Build Templates for Agent-Based ModelsRobert M. Panoff, Shodor, USA
4:50-5:10 Teaching Freshman Science Using Agent-Based Computational LaboratoriesGeorge W. Shiflet and Angela B. Shiflet,
Wofford College, USA
5:15-5:35 Transitioning from Game Design to Simulation Using Agent-Based ModelingFred Gluck, University of Colorado Boulder,
USA
5:40-6:00 NetLogo in the Secondary Life Science ClassroomCharlotte M. Trout, Retired
Tuesday, March 17
MS167Reconnection-based Arbitrary Lagrangian-Eulerian Methods4:25 PM-6:05 PMRoom:259
In numerical simulations of multidimensional fluid flow, the relationship of the motion of the computational grid to the motion of the fluid is an important issue. The motion of the grid can be chosen arbitrarily. The philosophy of the arbitrary Lagrangian-Eulerian methodology (ALE) is to exploit this degree of freedom to improve the accuracy and efficiency of the simulation. In talks presented at this minisymposium new reconnection-based ALE method in which mesh allowed to change connectivity is explored.
Organizer: Mikhail ShashkovLos Alamos National Laboratory, USA
Organizer: J. Michael OwenLawrence Livermore National Laboratory, USA
4:25-4:45 Adaptive Reconnection-Based Arbitrary Lagrangian Eulerian MethodWurigen Bo and Misha Shashkov, Los
Alamos National Laboratory, USA
4:50-5:10 Reconnection ALE in a Massively-Parallel, Staggered-Grid, Multi-Physics CodeDavid Starinshak, J. Michael Owen, and
Douglas S. Miller, Lawrence Livermore National Laboratory, USA
5:15-5:35 Multimaterial Simulation in Reale FrameworkJerome Breil, University of Bordeaux,
France
5:40-6:00 Triangular Metric-Based Mesh Adaptation for Compressible Multi-Material Flows in Semi-Lagrangian CoordinatesStephane Del Pino, CEA Saclay, France;
Isabelle Marmajou, CEA, France
2015 SIAM Conference on Computational Science and Engineering 143
Tuesday, March 17
MS236Recent Advances in Model Reduction - Part III of V4:25 PM-6:05 PMRoom:250 D
For Part 2 see MS211 For Part 4 see MS260 Model reduction has become an increasingly important tool to mitigate the computational burden of modeling and simulation in time-critical (e.g., model-predictive control) and many query (e.g., Bayesian inversion) applications. This minisymposium presents recent advances that address the primary challenges facing such methods, such as preserving intrinsic problem structure, handling high- dimensional parameter spaces, integration with existing simulation codes, stability, optimization and uncertainty quantification and control.
Organizer: Kevin T. CarlbergSandia National Laboratories, USA
Organizer: Gianluigi RozzaSISSA, International School for Advanced Studies, Trieste, Italy
4:25-4:45 pyMOR - A New Model Order Reduction Software FrameworkRene Milk, Mario Ohlberger, Stephan
Rave, and Felix Schindler, University of Muenster, Germany
4:50-5:10 Reduced Basis Methods for Option PricingJulien Salomon, CEREMADE Universite
Paris 9 Dauphine, France; Olena Burkovska, Technical University of Munich, Germany; Bernard Haasdonk, University of Stuttgart, Germany; Barbara Wohlmuth, Technical University of Munich, Germany
5:15-5:35 Adaptivity and Reduced Basis MethodsKarsten Urban, University of Ulm, Germany
5:40-6:00 Reduced Order Models for Patient-Specific Haemodynamics of Coronary Artery Bypass GraftsFrancesco Ballarin and Elena Faggiano,
Politecnico di Milano, Italy; Sonia Ippolito, Luigi Sacco Hospital, Italy; Andrea Manzoni and Alfio Quarteroni, École Polytechnique Fédérale de Lausanne, Switzerland; Gianluigi Rozza, SISSA, International School for Advanced Studies, Trieste, Italy; Roberto Scrofani, Luigi Sacco Hospital, Italy
Tuesday, March 17
MS235Enhancing Software Development for Emerging Platforms using Algorithms and Performance Tools4:25 PM-6:05 PMRoom:250 C
Software development needs urgent help to keep up with the rapidly emerging hardware platforms. With heterogeneity in these platforms, exploiting hybrid parallelism has added on to the already existing complexity of software development. Newer algorithms, auto-tuning and load balancing techniques, and much more are required to exploit the multi-level concurrency. In this MS, we will discuss selection of algorithms and scheduling techniques for accelerator-based codes for numerical linear algebra, the role of performance tools to assist porting applications to newer platforms, low-power algorithms and its adaptation on Tilera and experimental analysis demonstrating methodologies employed to effectively leverage heterogeneous memory subsystems.
Organizer: Sunita ChandrasekaranUniversity of Houston, USA
Organizer: Barbara ChapmanUniversity of Houston, USA
4:25-4:45 Algorithmic Selection, Autotuning, and Scheduling for Accelerator-Based Codes for Numerical Linear AlgebraPiotr Luszczek, University of Tennessee,
Knoxville, USA
4:50-5:10 Using Performance Tools to Assist Porting to New PlatformsGuido Juckeland, TU Dresden, Germany
5:15-5:35 Toward Heterogeneous Memory Systems for HPCAntonio J. Peña, Argonne National
Laboratory, USA
5:40-6:00 Algorithmic Adaptations for Scalable Community Detection on the Tilera Many-Core ArchitectureDaniel Chavarria, Howard Lu, and
Mahantesh Halappanavar, Pacific Northwest National Laboratory, USA; Ananth Kalyanaraman, Washington State University, USA
Tuesday, March 17
MS234First Principle Methods and Applications for Computational Materials Science and Chemistry - Part III of III4:25 PM-6:05 PMRoom:250 B
For Part 2 see MS209 First principle electronic structure calculations are among the most challenging and computationally demanding science and engineering problems. This minisymposium aims at presenting and discussing new numerical methods for achieving ever higher level of accuracy and efficiency in ground and excited density functional theory calculations, and their applications in computational materials science and chemistry. We propose to bring together physicists, chemists and materials scientists who are involved in improving the numerical development of widely known quantum chemistry and solid-state physics application software packages, with mathematicians and computer scientists who are focusing on advancing the required state-of-the-art mathematical algorithms and parallel implementation.
Organizer: Lin LinUniversity of California, Berkeley, USA
Organizer: Eric PolizziUniversity of Massachusetts, Amherst, USA
Organizer: Chao YangLawrence Berkeley National Laboratory, USA
4:25-4:45 A Parallel Orbital-Updating Approach for Electronic Structure Calculations Based on Singularity DecompositionsAihui Zhou, Chinese Academy of Sciences,
China
4:50-5:10 Recent Progress on Quantum Mechanics Embedding TheoryChen Huang, Florida State University, USA
5:15-5:35 Towards Predictive Modeling of Correlation Effects in Many-electron SystemsKarol Kowalski, Pacific Northwest National
Laboratory, USA
5:40-6:00 Massively Parallel GW Calculations for Current and Next-generation HPCJack Deslippe, National Energy Research
Scientific Computing Center, USA
144 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS238Sparse and Compressible Representations: Theory, Algorithms and Applications - Part III of III4:25 PM-6:05 PMRoom:250 F
For Part 2 see MS213 By focusing effort on identifying dominant terms of a function representation one can often accurately approximate the function from limited data. Sparsity detection also referred to as compressed sensing and l1-minimization is one approach that is extremely effective at identifying the dominant terms of a function expansion. Recently there have been many advances in l1-minimization including strategies for sampling, preconditioning and high-dimensional basis selection that attempt to maximize the accuracy of recovered signals whilst minimizing the number of signal samples. This minisymposium presents recent theoretical results, numerical methods and applications of sparse approximations, including but not limited to uncertainty quantification (UQ) and sensitivity analysis (SA).
Organizer: John D. JakemanSandia National Laboratories, USA
Organizer: Khachik SargsyanSandia National Laboratories, USA
4:25-4:45 Coherence Motivated Sampling of Polynomial Chaos ExpansionsJerrad Hampton and Alireza Doostan,
University of Colorado Boulder, USA
4:50-5:10 Sparse Solutions to Large-Scale Nonlinear Subsurface Flow Inverse ProblemsBenham Jafarpour and Reza Khaninezhad,
University of Southern California, USA
5:15-5:35 An Efficient Method for the Computation of the Stochastic Galerkin Projections by Means of Tensor Format RepresentationsAlexander Litvinenko, King Abdullah
University of Science & Technology (KAUST), Saudi Arabia; Mike Espig, RWTH - Aachen University of Technology, Germany; Matthies Hermann G., TU Braunschweig, Germany; W. Hackbusch, Max Planck Institute for Mathematics in the Sciences, Germany
5:40-6:00 Tensor Approximation Methods for Stochastic ProblemsElmar Zander, Technical University
Braunschweig, Germany
5:15-5:35 Spatially Partitioned Embedded Runge-Kutta MethodsSteven Ruuth, Simon Fraser University,
Canada; David I. Ketcheson, King Abdullah University of Science & Technology (KAUST), Saudi Arabia; Colin B. Macdonald, Oxford University, United Kingdom
5:40-6:00 An Accelerated Domain Decomposition Method for Time Dependent ProblemsRonald Haynes, Memorial University,
Newfoundland, Canada
Tuesday, March 17
MS237Advances in Time-stepping Methods - Part V of V4:25 PM-6:05 PMRoom:250 E
For Part 4 see MS212 Time-stepping methods are numerical methods for the time evolution of ODEs, DAEs, and PDEs in the method-of-lines framework. Many applications require specialized time-stepping methods in order to enhance efficiency or capture particular theoretical properties such as positivity, symplecticity, and strong-stability-preservation or practical properties such as parallelization on emerging high-performance architectures, component (e.g., multirate or local time-stepping) and physics (IMEX or semi-implicit) splittings based on sub-system properties, and reliable error estimation and control. The talks in this minisymposium will describe recent novel developments in time-stepping methods and demonstrate their benefits in practical applications.
Organizer: Emil M. ConstantinescuArgonne National Laboratory, USA
Organizer: Michael GuentherBergische Universität, Germany
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Raymond J. SpiteriUniversity of Saskatchewan, Canada
4:25-4:45 A Massively Parallel Solver for the Incompressible Navier--Stokes EquationsRaymond J. Spiteri, University of
Saskatchewan, Canada
4:50-5:10 Developing a Custom Time Integrator for the Nonlinear Schrödinger Equation for An Application in Paraxial Laser PropagationMichael Minion, Lawrence Berkeley
National Laboratory, USA
continued in next column
2015 SIAM Conference on Computational Science and Engineering 145
Tuesday, March 17
MS241Linear-Complexity Dense Linear Algebra, Parallelization and Applications4:25 PM-6:05 PMRoom:251 C
Many applications in such as quantum chemistry and seismic imaging give rise to dense operators. Well-known fast methods (e.g., FMM) for applying or inverting the operators admit an algebraically orientated interpretation. Such an interpretation inspires the study of matrices with a hierarchical low-rank structure, which enables linear-cost algorithms for performing matrix operations. These operations include matrix-vector multiplication, inversion, determinant calculation and several others. This minisymposium presents latest advances in the matrix algorithms and their parallelization.
Organizer: Jie ChenArgonne National Laboratory, USA
4:25-4:45 Linear-Cost Storage and Computation with Kernel MatricesJie Chen, Argonne National Laboratory,
USA
4:50-5:10 N-Body Algorithms for Matrices with Decay: Multiplication, Projection, Inverse Factorization & Fock-ExchangeMatt Challacombe and Nicolas Bock, Los
Alamos National Laboratory, USA; Terry Haut, University of Colorado Boulder, USA
5:15-5:35 Parallel Structured Direct Solvers for Nonsymmetric and Indefinite Sparse MatricesZixing Xin, Purdue University, USA
5:40-6:00 Solvers for O(N) Electronic Structure in the Strong Scaling LimitNicolas Bock, Los Alamos National
Laboratory, USA; Terry Haut, University of Colorado Boulder, USA; Matt Challacombe, Los Alamos National Laboratory, USA; Laxmikant Kale, University of Illinois at Urbana-Champaign, USA
Tuesday, March 17
MS240Numerical Methods for High-Dimensional Stochastic and Parametric Problems - Part III of V4:25 PM-6:05 PMRoom:251 B
For Part 2 see MS215 For Part 4 see MS264 Development of scalable numerical methods for the solution of problems with high-dimensional stochastic or parametric inputs has been a subject of active research in computational sciences and engineering. This is motivated by the need to reduce the issue of curse-of-dimensionality, i.e., exponential increase of computational complexity, in predictive simulation of physical systems where accurate specification of governing laws entails a large number of parameters or stochastic variables. To this end, several novel approaches based on multi-level, reduced order, sparse, and low-rank approximations have been recently developed. This minisymposium presents state-of- the-art in such developments for various aspects of high-dimensional computation, including analysis, algorithms, implementation, and applications.
Organizer: Alireza DoostanUniversity of Colorado Boulder, USA
Organizer: Dongbin XiuUniversity of Utah, USA
4:25-4:45 QoI Basis AdaptationRoger Ghanem, University of Southern
California, USA; Kenny Chowdhary and Habib N. Najm, Sandia National Laboratories, USA
4:50-5:10 Numerical Methods for SPDEs with Levy Jump Processes SPDES: Stochastic and Deterministic ApproachesMengdi Zheng and George E. Karniadakis,
Brown University, USA
5:15-5:35 Optimal Least-Squares Projection: Applications to UqTao Zhou, Chinese Academy of Sciences,
China; Akil Narayan, University of Massachusetts, Dartmouth, USA; Dongbin Xiu, University of Utah, USA
5:40-6:00 Computational Complexity of Stochastic Galerkin and Collocation Methods for PDEs with Random CoefficientsNick Dexter, University of Tennessee, USA;
Clayton G. Webster and Guannan Zhang, Oak Ridge National Laboratory, USA
Tuesday, March 17
MS239Efficient Algorithms for Variational Methods in Imaging - Part II of II4:25 PM-6:05 PMRoom:251 A
For Part 1 see MS214 We address recent advances in algorithms for variational methods in imaging with a particular focus on non-rigid image registration. We also discuss the use of priors in order to supervise algorithms and provide more plausible results in particular applications. The associated large-scale mathematical problems manifest as formidable, often ill-behaved systems. Key algorithmic challenges include computational complexity, memory consumption, a vast number unknowns as well as model and data uncertainties. We showcase state-of-the-art techniques in scientific computing to tackle these challenges.
Organizer: Andreas MangUniversity of Texas at Austin, USA
Organizer: George BirosUniversity of Texas at Austin, USA
4:25-4:45 Platform-independent Description of Image Registration AlgorithmsHarald Koestler, University of Erlangen-
Nuremberg, Germany
4:50-5:10 Novel Priors and Algorithms for 4d Tracking and Classification of CellsChristoph Brune, University of Twente,
Netherlands
5:15-5:35 Incorporating Uncertainty in MR Images of Glioblastoma when Leveraging Models to Interpret Therapeutic EfficacyAndrea Hawkins-Daarud and Kristin R.
Swanson, Northwestern University, USA
5:40-6:00 Parameter Estimation for Malignant Brain TumorsAmir Gholaminejad and George Biros,
University of Texas at Austin, USA
146 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS243Inverse Problems and Data Assimilation - Part IV of VI4:25 PM-6:05 PMRoom:251 E
For Part 3 see MS218 For Part 5 see MS267 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to: 1) deterministic and statistical approaches to inversion problems and data assimilation; 2) reduced order modeling inversion framework; 3) treatment of nonlinear and non-smooth processes; 4) sensitivity analysis and its application to adaptive (targeting) observation; 5) operational data assimilation systems; 6) uncertainties impact studies; 7) automatic tools to support inversion and data assimilation methodologies.
Organizer: Razvan StefanescuVirginia Tech, USA
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Ionel M. NavonFlorida State University, USA
Organizer: Dacian N. DaescuPortland State University, USA
4:25-4:45 Multi-Scale Data Assimilation for Fine-Resolution ModelsZhijin Li, California Institute of Technology,
USA
4:50-5:10 Unified Ensemble-Variational Data Assimilation SystemMilija Zupanski, Colorado State University,
USA
5:15-5:35 Ensemble Kalman Filters Without Tuning for Large ApplicationsJeffrey Anderson, National Center for
Atmospheric Research, USA
5:40-6:00 Orthogonal Transformations for the Ensemble Kalman FilterHumberto C. Godinez, Earl Lawrence,
and Dave Higdon, Los Alamos National Laboratory, USA
5:15-5:35 Mesoscale Models for Molecular Solvation: Funny Business at the Solute-Solvent InterfaceJaydeep Bardhan, Northeastern University,
USA; Matthew G. Knepley, University of Chicago, USA
5:40-6:00 Mesoscopic Modeling of Temperature-dependent Properties in Non-isothermal Fluid SystemsZhen Li, Yu-Hang Tang, Bruce Caswell, and
George E. Karniadakis, Brown University, USA
Tuesday, March 17
MS242Computational Benchmarks for Soft Materials and Complex Fluids at the Mesoscale - Part III of III4:25 PM-6:05 PMRoom:251 D
For Part 2 see MS217 Computational modeling of multiphysical processes at the mesoscale is becoming increasingly important for applications in micro-/nano-technology, next-generation battery technology, material assembly and biological systems. In this minisymposium we address mathematical modeling along with numerical schemes that can effectively capture mesoscale multiphysics such as hydrodynamics, transport, electrostatics and chemical reaction. Desirable features of the numerical schemes include robustness, accuracy, scalability, as well as potential to cross scales as a multiscaling framework. The benchmark applications that we are interested in include mixing and separation processes in micro-/nano-channel, semi-permeable membranes, diffusive transport and electrochemical reaction in porous electrode, colloid and nanoparticle assembly, as well as macromolecular conformational change.
Organizer: Mauro PeregoSandia National Laboratories, USA
Organizer: Wenxiao PanPacific Northwest National Laboratory, USA
Organizer: Nathaniel TraskBrown University, USA
Organizer: Kyungjoo KimSandia National Laboratories, USA
4:25-4:45 Fluctuating Hydrodynamics Methods for Electrokinetics and Capillary Electrophoresis of Charged ColloidsPaul J. Atzberger, University of California,
Santa Barbara, USA
4:50-5:10 Biomechanics of Red Blood Cells and Related DiseasesZhangli Peng, University of Notre Dame,
USA
continued in next column
2015 SIAM Conference on Computational Science and Engineering 147
Tuesday, March 17
MS246High-level Technical Computing with Julia4:25 PM-6:05 PMRoom:254 B
Dynamic high-level languages enable rapid development of expressive and easily extensible code and therefore are increasingly popular in science and engineering. The new and emerging language Julia aims to overcome some limitations often associated with established dynamic languages, most importantly, large computational overhead and imperfect scaling on parallel computers. This minisymposium covers recent advances and contributions to the Julia language itself as well as examples outlining Julia’s potential for the solution of large-scale real-world problems.
Organizer: Lars RuthottoEmory University, USA
Organizer: Chen JiahaoMassachusetts Institute of Technology, USA
Organizer: Alan EdelmanMassachusetts Institute of Technology and Interactive Supercomputing, Inc., USA
4:25-4:45 Large-Scale 3D Electromagnetic Imaging Using JuliaEldad Haber, University of British
Columbia, Canada
4:50-5:10 Distributed and Parallel Computing for Pde Constrained Optimization in JuliaLars Ruthotto, Emory University, USA
5:15-5:35 JuMP: Algebraic Modeling of Optimization Problems in JuliaMiles Lubin, Iain Dunning, and Joey
Huchette, Massachusetts Institute of Technology, USA
5:40-6:00 An Extensible Test Matrix Collection for JuliaWeijian Zhang and Nicholas Higham,
University of Manchester, United Kingdom
Tuesday, March 17
MS245Numerical Methods for Multimaterial Flows with Deforming Boundaries - Part III of III4:25 PM-6:05 PMRoom:254 A
For Part 2 see MS220 Multimaterial flows with deforming boundaries appear in many applications involving biological flows, medicine, industry, and homeland security. As the number of applications grow, so too the amount of research into developing and improving existing numerical methods for deforming boundary problems in multi-material flows. In this minisymposium, novel numerical methods will be presented that address efficiency and accuracy in adaptive mesh refinement algorithms, scalability on high performance computing platforms, robust interface capturing methods, numerical methods for phase change (freezing, boiling, evaporation), and numerical methods for enforcing boundary conditions at deforming boundary interfaces.
Organizer: Mark SussmanFlorida State University, USA
Organizer: Frederic G. GibouUniversity of California, Santa Barbara, USA
Organizer: Feng XiaoTokyo Institute of Technology, Japan
4:25-4:45 A Moment-of-Fluid Method for Computing Solutions to Multi-Phase FlowsMark Sussman, Florida State University, USA
4:50-5:10 A Time Splitting Projection Scheme for Compressible Two-Phase Flows: Application to the Interaction of Bubbles and Droplets with Ultrasound WavesSebastien Tanguy, Universite de Toulouse,
France
5:15-5:35 A Finite-Volume Based Formulation for Viscoelastic Two-Phase FlowsShahriar Afkhami, New Jersey Institute of
Technology, USA
5:40-6:00 Fourth-Order Interface Tracking and Curvature Estimation for An Arbitrary Number of Materials in Two DimensionsQinghai Zhang and Aaron L. Fogelson,
University of Utah, USA
Tuesday, March 17
MS244Large-Scale and PDE-Constrained Optimization4:25 PM-6:05 PMRoom:251 F
We present recent advances in scalable solvers for large-scale and PDE-constrained optimization. Special emphasis is placed on recent developments that extend traditional optimization techniques to matrix-free PDE-constrained case as well as the development of efficient and scalable solvers for PDE-constrained optimization under uncertainty.
Organizer: Sven LeyfferArgonne National Laboratory, USA
4:25-4:45 Inexact Primal-Dual Interior Point Filter MethodVictor Zavala, Argonne National Laboratory,
USA
4:50-5:10 PDE-Constrained Optimization Under Uncertainty for Convection-Diffusion-Reaction SystemsBart G. Van Bloemen Waanders, Sandia
National Laboratories, USA; Harriet Li, Massachusetts Institute of Technology, USA; Drew P. Kouri and Denis Ridzal, Sandia National Laboratories, USA
5:15-5:35 An Adaptive Augmented Lagrangian Method for Large-Scale Constrained OptimizationFrank E. Curtis, Lehigh University, USA;
Nicholas I.M. Gould, Rutherford Appleton Laboratory, United Kingdom; Hao Jiang and Daniel Robinson, Johns Hopkins University, USA
5:40-6:00 A Data-Driven Approach to PDE-Constrained Optimization Under UncertaintyDrew P. Kouri, Sandia National
Laboratories, USA
148 2015 SIAM Conference on Computational Science and Engineering
Tuesday, March 17
MS249Low-rank Optimization with Applications - Part II of II4:25 PM-6:05 PMRoom:150 DE
For Part 1 see MS224 Low-rank matrices and tensors are a popular modeling tool in machine learning and an effective approximation class in many high-dimensional problems. At the same time, low-rank approximations can potentially lead to significant computational savings in algorithms that have to deal with large and dense matrices. This minisymposium showcases recent work in this area by focusing on low-rank optimization. The applications include subspace tracking, nonlinear programming, tensor completion, and high-dimensional eigenvalue problems, while the algorithmic techniques involve greedy algorithms, stochastic optimization, preconditioning, and optimization on manifolds.
Organizer: Bart VandereyckenPrinceton University, USA
Organizer: Daniel KressnerEPFL, Switzerland
4:25-4:45 Exploiting Active Subspaces for Nonlinear ProgrammingPaul Constantine, Colorado School of
Mines, USA; David F. Gleich, Purdue University, USA
4:50-5:10 Non-Convex Low-Rank Matrix and Tensor RecoveryYangyang Xu, Rice University, USA
5:15-5:35 Towards an Optimal Scalability in Computing Extreme Eigenpairs of Large MatricesYin Zhang, Rice University, USA; Zaiwen
Wen, Peking University, China; Xin Liu, Chinese Academy of Sciences, China
5:40-6:00 Using Stochastic Optimization Methods for the Polyadic Decomposition of Large-Scale TensorsNico Vervliet and Lieven De Lathauwer,
Katholieke Universiteit Leuven, Belgium
Tuesday, March 17
MS248Moment Methods for the Boltzmann Equation4:25 PM-6:05 PMRoom:150 AB
The Boltzmann equation is the fundamental model in the kinetic theory. It is useful in a number of high-tech fields such as the aircraft manufacturing and micro-electro-mechanical systems. However, the numerical cost of solving the Boltzmann equation directly in large systems is still unaffordable, and the moment method is one of the important methods to derive simpler models. Recently, the research on the moment method is very active. The purpose of this minisymposium is to gather most representative researchers and report their progress. It invites speakers from different parts of the world and provides a good opportunity to exchange ideas.
Organizer: Zhenning CaiRWTH Aachen University, Germany
Organizer: Zhicheng HuHong Kong Polytechnic University, China
4:25-4:45 Approximation of the Boltzmann Equation with the Method of Moments for Low Speed Gas FlowXiaojun Gu, David Emerson, and Jianping
Meng, STFC Daresbury Laboratory, United Kingdom
4:50-5:10 A Framework on Moment Model Reduction for Kinetic EquationRuo Li, Peking University, China
5:15-5:35 Numerical Solution of a Fourteen-Moment Closure for Non-equilibrium GasesJames McDonald and Amir Baradaran,
University of Ottawa, Canada; Boone Tensuda and Clinton P. Groth, University of Toronto, Canada
5:40-6:00 Theoretical and Computational Investigations of the Non-linear Coupled Constitutive Relations (NCCR)Anirudh Singh Rana and Rho Shin Myong,
Gyeongsang National University, Korea
Tuesday, March 17
MS247Student Days: An Informal Meeting4:25 PM-6:05 PMRoom:255 D
This informal session provides opportunities for students to meet invited speakers. This is your chance to ask research or career questions, or listen to advice provided by the experts. Discussions will be conducted in smaller groups; after about 20 minutes, the groups will change, so you get a chance to talk to all of the invited speakers present.
Organizer: Hans De SterckUniversity of Waterloo, Canada
Organizer: Christopher JohnsonUniversity of Utah, USA
Organizer: Lois Curfman McInnesArgonne National Laboratory, USA
Meet Informally with the CSE15 Co-Chairs and Several Invited Speakers
2015 SIAM Conference on Computational Science and Engineering 149
Tuesday, March 17
MS252Efficient Solvers for PDE-constrained Optimization - Part II of II4:25 PM-6:05 PMRoom:151 AB
For Part 1 see MS229 Optimization problems constrained by partial differential equations arise in a wide range of applications in science and engineering. From a computational viewpoint their solution pose various challenges. One of these challenges is the development of efficient solution methods, which must often be adapted to each specific problem class. The aim of this minisymposium is to bring together researchers to report on recent developments on efficient methods for solving PDE-constrained problems.
Organizer: Simon W. FunkeSimula Research Laboratory, Norway
Organizer: Kent-Andre MardalUniversity of Oslo, and Simula Research Laboratory, Norway
Organizer: Marie E. RognesSimula Research Laboratory, Norway
4:25-4:45 Accelerated Source-Encoding Full-Waveform Seismic Inversion with Additional ConstraintsMichael Ulbrich and Christian Boehm,
Technical University of Munich, Germany
4:50-5:10 PDE-constrained Optimization with Local Control and Boundary Observations: Robust PreconditionersOle Løseth Elvetun, Norwegian University of
Life Sciences, Norway; Bjørn F. Nielsen, Simula Research Laboratory, Norway
5:15-5:35 Robust Preconditioners for PDE-Constrained Optimization with Limited Observation DataMagne Nordaas, Simula Research
Laboratory, Norway; Kent-Andre Mardal, University of Oslo, and Simula Research Laboratory, Norway; Bjørn F. Nielsen, Simula Research Laboratory, Norway
5:40-6:00 All-at-once Approach to Optimal Control Problems Constrained by PDEs with Uncertain InputsAkwum Onwunta, Max Planck Institute,
Magdeburg, Germany; Peter Benner, Max Planck Institute for Dynamics of Complex Systems, Germany; Martin Stoll, Max Planck Institute, Magdeburg, Germany
Tuesday, March 17
MS251Recent Advances in High Order Spatial Discretization Methods for PDEs - Part III of III4:25 PM-6:05 PMRoom:260 B
For Part 2 see MS228 Many complex physical phenomena can be modeled by partial differential equations and the numerical simulation of PDEs has been an active research area. This minisymposium aims to bring researchers together to discuss the numerical challenges when designing high order spatial discretization methods for time-dependent/static PDEs, with particular attention on weighted essentially non-oscillatory (WENO) methods and discontinuous Galerkin (DG) methods.
Organizer: Yuan LiuMichigan State University, USA
Organizer: Qi TangMichigan State University, USA
Organizer: Andrew J. ChristliebMichigan State University, USA
4:25-4:45 Maximum Principle and Positivity Preserving Flux Limiters for High Order SchemesZhengfu Xu, Michigan Technological
University, USA
4:50-5:10 A Seventh Order Hybrid Weighted Compact Scheme Based on WENO Stencil for Hyperbolic Conservation LawsJun Peng and Yiqing Shen, Chinese
Academy of Sciences, China
5:15-5:35 High-Order Accurate Numerical Methods for Elliptic and Parabolic Interface ModelsYekaterina Epshteyn, University of Utah,
USA
5:40-6:00 A One-Stage High-Resolution Constrained Transport Method for Magnetohydrodynamic EquationsXiao Feng, Michigan State University, USA
Tuesday, March 17
MS250Partitioning for Multiple Constraints and Objectives4:25 PM-6:05 PMRoom:258
Traditional graph and hypergraph partitioners play an important role in computational science applications. They enforce a simple balance constraint, with per-part workloads represented by the sum of vertex weights. Edge weights represent communication costs; partitioners then minimize a simple cost objective while satisfying the work constraint. As applications and architectures evolve, the need for partitioners that enforce multiple constraints while trying to satisfy multiple objectives is increasing. This minisymposium showcases recent developments in partitioners that handle multiple constraints and multiple objectives, targetting improved performance for diverse applications such as multiscale mechanics simulations, complex networks, sparse matrix-vector multiplication, and hybrid solvers.
Organizer: Karen D. DevineSandia National Laboratories, USA
Organizer: Siva RajamanickamSandia National Laboratories, USA
Organizer: Kamesh MadduriPennsylvania State University, USA
4:25-4:45 Load Balancing Multiscale SimulationsWilliam R. Tobin, Daniel Fovargue, and
Mark S. Shephard, Rensselaer Polytechnic Institute, USA
4:50-5:10 Handling Multiple Communication Metrics for Hypergraph PartitioningMehmet Deveci and Kamer Kaya, The Ohio
State University, USA; Bora Ucar, LIP-ENS Lyon, France; Umit V. Catalyurek, The Ohio State University, USA
5:15-5:35 Towards a Recursive Graph Bipartitioning Algorithm for Well Balanced Domain DecompositionAstrid Casadei, INRIA Bordeaux Sud-Ouest,
France; Pierre Ramet, LABRI, Univ Bordeaux, France; Jean Roman, INRIA, France
5:40-6:00 Complex Objective Partitioning of Small-World Networks Using Label PropagationGeorge Slota and Kamesh Madduri,
Pennsylvania State University, USA; Siva Rajamanickam, Sandia National Laboratories, USA
150 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
Registration7:45 AM-2:30 PMRoom:East Foyer
Closing Remarks8:00 AM-8:15 AMRoom:355
IP9Implications of Numerical and Data Intensive Technology Trends on Scientific Visualization and Analysis8:15 AM-9:00 AMRoom:355
Chair: Han-Wei Shen, The Ohio State University, USA
Technology trends in numerically and data intensive computing have the potential to reshape and significantly advance how we visualize and analyze the results of scientific simulations. However, next generation numerically intensive supercomputers are bound by power and storage constraints. These require us to transition from standard post-processing visualization and analysis approaches to intelligent, automated in-situ ones. In addition, data intensive technology trends that support accessing and understanding our data using intuitive, web-based and query-driven interfaces are now the norm. In this talk, I will discuss these trends and several freely available, open-source approaches that leverage them.
James AhrensLos Alamos National Laboratory, USA
Intermission9:00 AM-9:10 AM
Tuesday, March 17
MS254Advancements in Generalizing Algebraic Multigrid Methods4:25 PM-6:05 PMRoom:151 G
Recent advances in algebraic multigrid methods have led to improved solvers for a wider range of applications. In this collection of talks we highlight some interrelated developments in generalizing interpolation, improving coarsening, and enhancing the setup of multigrid methods. Collectively, techniques such as energy minimization and adaptivity lead to accelerated convergence for challenging applications. In addition, with careful algorithmic decisions and new theoretical observations, these concepts result in a more general framework for algebraic solvers.
Organizer: Luke OlsonUniversity of Illinois at Urbana-Champaign, USA
Organizer: James BrannickPennsylvania State University, USA
4:25-4:45 Root-Node Based Algebraic MultigridLuke Olson, University of Illinois at Urbana-
Champaign, USA; Jacob B. Schroder, Lawrence Livermore National Laboratory, USA
4:50-5:10 Bootstrap and Adaptive MethodsJames Brannick, Pennsylvania State
University, USA
5:15-5:35 Algebraic Multigrid for H-hermitian MatricesKarsten Kahl, University of Wuppertal,
Germany
5:40-6:00 Algebraic Multigrid Method for Implicit Smoothed Particle HydrodynamicsXiaozhe Hu, Tufts University, USA;
Wenxiao Pan, Pacific Northwest National Laboratory, USA; Jinchao Xu and Hongxuan Zhang, Pennsylvania State University, USA
Business Meeting6:15 PM-7:15 PMRoom:355
Complimentary wine and beer will be served.
(Open to SIAG/CSE members)
Tuesday, March 17
MS253Turbulence in Wind Turbine Wake: Realistic Turbine/atmosphere Interaction4:25 PM-5:40 PMRoom:151 DE
Full-scale horizontal axis wind turbines (WTs) operate in atmospheric boundary layer with atmospheric forcings playing an important role on the wake generated behind the wind turbine. ABL and WT interactions result in strong wake turbulence that adversely impacts the overall performance of wind turbine. Many studies todate have focused on idealistic inflow conditions and have not included the role of atmospheric forcings on the atmosphere on the turbine wake structure. The talks will focus on the effects of atmospheric stratification on the wake structure.
Organizer: Kiran BhaganagarUniversity of Texas, San Antonio, USA
4:25-4:45 Characterizing Turbulence in Wind Turbine Wake: Role of StratificationKiran Bhaganagar, University of Texas, San
Antonio, USA
4:50-5:10 Improved Understanding of Atmospheric Stability Effects on Wind Farm Performance Using Large-Eddy SimulationCristina L. Archer, Shengbai Xie, and
Niranjan Ghaisas, University of Delaware, USA
5:15-5:35 Les Study of a Large Wind Farm Within a Diurnal Atmospheric Boundary LayerMarc Calaf, University of Utah, USA
2015 SIAM Conference on Computational Science and Engineering 151
Wednesday, March 18
CP3Software Tools for Scientific Simulation9:10 AM-10:25 AMRoom:250 A
Chair: Johannes Grotendorst, Forschungszentrum Jülich, Germany
9:10-9:20 Symbolic Representation and Automated Code Generation for Discontinuous Galerkin Finite Element MethodsNathan Sime and Paul Houston, University
of Nottingham, United Kingdom
9:25-9:35 Automatic Parallel Programming for Scientific SimulationLi Liao, Aiqing Zhang, and Zeyao Mo,
Institute of Applied Physics and Computational Mathematics, China
9:40-9:50 Distributive Interoperable Executive Library (diel) for Systems of Multiphysics SimulationKwai L. Wong, University of Tennessee and
Oak Ridge National Laboratory, USA; Jason Coan and David White, Maryville College, USA
9:55-10:05 PoKiTT: an Efficient, Platform Agnostic Package for Thermodynamics, Kinetics, and Transport Properties within PDE SolversNathan Yonkee and James C. Sutherland,
University of Utah, USA
10:10-10:20 CSE Education at JSCJohannes Grotendorst, Forschungszentrum
Jülich, Germany
Wednesday, March 18
CP2Multigrid Methods9:10 AM-10:25 AMRoom:355 A
Chair: Matthias Bolten, University of Wuppertal, Germany
9:10-9:20 Dependance of the Convergence of Multigrid Methods on the Used DiscretizationMatthias Bolten, University of Wuppertal,
Germany
9:25-9:35 On Teh Efficiency of Nonlinear Multigrid MethodsPeter K. Jimack, University of Leeds, United
Kingdom
9:40-9:50 Robust Multigrid Methods for MagnetohydrodynamicsThomas Benson, Tufts University, USA
9:55-10:05 Large-Scale Sparse Inverse Covariance EstimationEran Treister, Javier Turek, and Irad Yavneh,
Technion Israel Institute of Technology, Israel
10:10-10:20 Support Graph SmoothingAlyson Fox, University of Colorado Boulder,
USA
Wednesday, March 18
CP1Simulation of Molecular Systems9:10 AM-10:25 AMRoom:355
Chair: Martin T. Horsch, University of Kaiserslautern, Germany
9:10-9:20 Visualizing Structure in Atomic Systems at High TemperaturesEmanuel A. Lazar, Jian Han, and David J.
Srolovitz, University of Pennsylvania, USA
9:25-9:35 Potential-Functional Embedding Theory for Seamless Multiscale Simulations of MaterialsChen Huang, Florida State University, USA
9:40-9:50 A Numerical and Computational Framework for Hierarchical Multi-Scale/multi-Physics SimulationsJaroslaw Knap, Oleg Borodin, Carrie E.
Spear, Kenneth W. Leiter, David A. Powell, and Richard C. Becker, U.S. Army Research Laboratory, USA
9:55-10:05 Amr Strategies for Scft AlgorithmGaddiel Ouaknin and Frederic G. Gibou,
University of California, Santa Barbara, USA
10:10-10:20 Computational Molecular Engineering: An Emerging Technology in Process EngineeringMartin T. Horsch and Stephan Werth,
University of Kaiserslautern, Germany; Christoph Niethammer and Colin Glass, High Performance Computing Center Stuttgart, Germany; Wolfgang Eckhardt, Philipp Neumann, and Hans-Joachim Bungartz, Technische Universität München, Germany; Jadran Vrabec, University of Paderborn, Germany; Hans Hasse, University of Kaiserslautern, Germany
152 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
CP6Preconditioners for Fluids, Structures and Images9:10 AM-10:25 AMRoom:250 D
Chair: Kees Vuik, Delft University of Technology, Netherlands
9:10-9:20 Indefinite Preconditioning of the Coupled Stokes-Darcy SystemScott Ladenheim, Temple University, USA;
Prince Chidyagwai, Loyola University, USA; Daniel B. Szyld, Temple University, USA
9:25-9:35 A Parallel Linear Solver Exploiting the Physical Properties of the Underlying Mechanical ProblemKees Vuik, Delft University of Technology,
Netherlands
9:40-9:50 Preconditioner Scaling for Finite Element Models of Turbulent Air/Water Flow in Coastal and Hydraulic ApplicationsChris Kees and Aron Ahmadia, U.S. Army
Engineer Research and Development Center, USA; Jed Brown, Argonne National Laboratory, USA and University of Colorado Boulder, USA; Matthew Farthing, U.S. Army Engineer Research and Development Center, USA; Barry F. Smith, Argonne National Laboratory, USA
9:55-10:05 A Scalable Newton-Krylov-Schwarz Method for Coupled Fluid-Structure Interaction ProblemsFande Kong and Xiao-Chuan Cai, University
of Colorado Boulder, USA
10:10-10:20 Data Based Regularization MethodsThomas K. Huckle, Technische Universität
München, Germany
Wednesday, March 18
CP5Bayesian Methods in Uncertainty Quantification9:10 AM-10:25 AMRoom:250 C
Chair: Isabell Franck, Technical University of Munich, Germany
9:10-9:20 Uncertainty Propagation Using Infinite Mixture of Gaussian Processes and Variational Bayesian InferencePeng Chen, Cornell University, USA;
Nicholas Zabaras, University of Warwick, United Kingdom; Ilias Bilionis, Purdue University, USA
9:25-9:35 Minimal Set of Mechanisms Controlling Type I Interferon Differential SignalingPencho Yordanov, Irene Otero-Muras, and
Joerg Stelling, ETH Zürich, Switzerland
9:40-9:50 Probabilistic Mixtures of Local Reduced-Basis Models for Uncertainty QuantificationMichael Kraus and Phaedon S.
Koutsourelakis, Technical University of Munich, Germany
9:55-10:05 Surrogate-Based Bayesian Model Ranking of Atomistic Models Incorporating the Fidelity of SurrogatesHadi Meidani, University of Illinois at
Urbana-Champaign, USA; Mike Kirby and Dmitry Bedrov, University of Utah, USA
10:10-10:20 Variational Bayesian Formulations for High-Dimensional Inverse ProblemsIsabell Franck and Phaedon S.
Koutsourelakis, Technical University of Munich, Germany
Wednesday, March 18
CP4Parallel Dense Linear Algebra9:10 AM-10:10 AMRoom:250 B
Chair: Eduardo F. D’Azevedo, Oak Ridge National Laboratory, USA
9:10-9:20 Dynamic Runtime Scheduling for Dense Out-of-Core Matrix Computation on the Intel Xeon PhiEduardo F. D’Azevedo, Oak Ridge National
Laboratory, USA; Ben Chan and Terrence Chong, Chinese University of Hong Kong, Hong Kong; Allan Morales, George Washington University, USA; Kwai L. Wong, University of Tennessee and Oak Ridge National Laboratory, USA
9:25-9:35 A Framework for Parallel Fast Matrix MultiplicationAustin Benson, Stanford University,
USA; Grey Ballard, Sandia National Laboratories, USA
9:40-9:50 Optimization of Singular Vectors ComputationSergey V Kuznetsov, Intel Corporation,
Russia; Nadezhda Mozartova, Intel Corporation, USA
9:55-10:05 Performance Study of a Randomized Dense Low-Rank Matrix Approximation Using Multiple GpusTheo Mary, Universite de Toulouse, France;
Ichitaro Yamazaki, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, and Jack J. Dongarra, University of Tennessee, Knoxville, USA
2015 SIAM Conference on Computational Science and Engineering 153
Wednesday, March 18
CP9Numerical PDEs I9:10 AM-10:25 AMRoom:251 A
Chair: Anna Lischke, Iowa State University, USA
9:10-9:20 Asymptotic-Preserving Space-Time Discontinuous Galerkin Schemes for a Class of Relaxation SystemsAnna Lischke and James A. Rossmanith,
Iowa State University, USA
9:25-9:35 Universal Meshes for Problems with Moving BoundariesEvan S. Gawlik and Adrian Lew, Stanford
University, USA
9:40-9:50 A Multiscale Finite Volume with Oversampling Method to Simulate Low-Frequency Electromagnetic Geophysical ResponsesLuz Angelica A. Caudillo Mata and Eldad
Haber, University of British Columbia, Canada; Lars Ruthotto, Emory University, USA; Christoph Schwarzbach, University of British Columbia, Canada
9:55-10:05 A Computational Shock-Tube for Reproducible Computational Experiments in Traumatic Brain InjuryMauricio J. Del Razo and Randall LeVeque,
University of Washington, USA; David Cook, VA Hospital, USA
10:10-10:20 Numerical Simulations of Biological InvasionsShilpa Khatri, University of California,
Merced, USA; Anna-Karin Tornberg, KTH Royal Institute of Technology, Sweden
Wednesday, March 18
CP8Parallel Iterative Methods with Reduced Communication9:10 AM-10:25 AMRoom:250 F
Chair: Grey Ballard, Sandia National Laboratories, USA
9:10-9:20 Multigrid Preconditioners for Communication-Avoiding Krylov MethodsAndrey Prokopenko, Sandia National
Laboratories, USA
9:25-9:35 Reducing Communication Costs for Sparse Matrix Multiplication within Algebraic MultigridGrey Ballard, Jonathan J. Hu, and
Christopher Siefert, Sandia National Laboratories, USA
9:40-9:50 Alpha Setup-Amg: An Adaptive Setup Based Amg Solver for Large-Scale Simulations with Long Time-SteppingXiaowen Xu, Institute of Applied Physics and
Computational Mathematics, China
9:55-10:05 Avoiding Communication and Synchronization in Krylov EigensolversAlexander Breuer, Claire Eisner, Jaroslaw
Knap, and Kenneth Leiter, U.S. Army Research Laboratory, USA
10:10-10:20 Scalable Alternative to Domain DecompositionDavid A. Appelhans, Thomas Manteuffel,
Steve McCormick, and John Ruge, University of Colorado Boulder, USA
Wednesday, March 18
CP7Numerical Simulation on Accelerators9:10 AM-10:25 AMRoom:250 E
Chair: Erik G. Boman, Sandia National Laboratories, USA
9:10-9:20 Spectral Methods in PDE Solving: a Multi-GPU FrameworkGyula I. Toth, Tatjana Kuztensova, and Bjorn
Kvamme, University of Bergen, Norway
9:25-9:35 Direct Hierarchical Schur Method for Nested Dissection Reordered Linear Systems on Multi-GPUsCheming Chu, Pochuan Wang, and
Weichung Wang, National Taiwan University, Taiwan
9:40-9:50 Solving Sparse Linear Systems on GPUs Based on the Biell Storage FormatTongxiang Gu, Institute of Applied Physics
and Computational Mathematics, China; Cong Zheng, Graduate School of Chinese Academy of Engineering Physics, China; Shou Gu, University of Electronic Science and Technology of China, China; Xingping Liu, Institute of Applied Physics and Computational Mathematics, China
9:55-10:05 Optimizing Structured Grid Numerical Simulations for Numa-Multicore SystemsZhang Yang, Aiqing Zhang, and Zeyao
Mo, Institute of Applied Physics and Computational Mathematics, China
10:10-10:20 Parallel Graph Coloring for Scientific ComputingErik G. Boman, Sandia National
Laboratories, USA
154 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
CP12Numerical Methods for Statistical Mechanics and Plasmas9:10 AM-10:25 AMRoom:251 D
Chair: Paul Cazeaux, EPFL, Switzerland
9:10-9:20 Vlasov-Poisson Simulations of Magnetized Plasmas Using High-Order Continuum MethodsGenia Vogman, University of California,
Berkeley, USA; Phillip Colella, Lawrence Berkeley National Laboratory, USA; Uri Shumlak, University of Washington, USA
9:25-9:35 Coarse Multiscale Timestepping for Problems in Plasma Physics with Equation-Free Projective IntegrationPaul Cazeaux, EPFL, Switzerland; Jan
Hesthaven, EPFL, France
9:40-9:50 Discontinuous Galerkin Deterministic Solvers of Boltzmann-Poisson Models of Hot Electronic Transport Using Empirical Pseudopotential MethodsJose A. Morales Escalante and Irene M.
Gamba, University of Texas at Austin, USA; Yingda Cheng, Michigan State University, USA; Armando Majorana, University of Catania, Italy; Chi-Wang Shu, Brown University, USA; James R. Chelikowsky, University of Texas at Austin, USA
9:55-10:05 Semi-Lagrangian Discontinuous Galerkin Schemes for the Relativistic Vlasov-Maxwell SystemPierson Guthrey and James A. Rossmanith,
Iowa State University, USA
10:10-10:20 Asymptotic-Preserving Scheme for the Fokker-Planck-Landau-Maxwell System in the Quasi-Neutral RegimeStephane Brull, Institut Polytechnique
de Bordeaux, France; Bruno Dubroca, d’Humière Emmanuel, and Guisset Sébastien, Universite de Bordeaux I, France
Wednesday, March 18
CP11Parallel Simulation with Reduced Communication9:10 AM-10:25 AMRoom:251 C
Chair: Miles L. Detrixhe, University of California, Santa Barbara, USA
9:10-9:20 Exploring Communication Options with Adaptive Mesh RefinementCourtenay T. Vaughan and Richard Barrett,
Sandia National Laboratories, USA
9:25-9:35 A Communication Algorithm for the Patch-Based Multiblock Structured Mesh ApplicationsHong Guo, Institute of Applied Physics and
Computational Mathematics, China
9:40-9:50 A Communication Staging Technique for a Hierarchical Ocean ModelGeoff Womeldorff, Chris Newman, Dana
Knoll, and Luis Chacón, Los Alamos National Laboratory, USA
9:55-10:05 Scalable Parallel Assembly for High-Performance Computing with Isogeometric and Higher-Order Finite ElementsVasco Varduhn and Dominik Schillinger,
University of Minnesota, USA
10:10-10:20 A Parallel Fast Sweeping Method for Quadtrees and OctreesMiles L. Detrixhe, University of California,
Santa Barbara, USA
Wednesday, March 18
CP10Numerical PDEs II9:10 AM-10:25 AMRoom:251 B
Chair: Saeid Karimi, University of Houston, USA
9:10-9:20 Towards a Physically Admissible Implicit-Explicit Splitting for All Froude Number Shallow Water FlowsSeyed Hamed Zakerzadeh and Sebastian
Noelle, RWTH Aachen University, Germany
9:25-9:35 High Order Schemes Based on Operator Splitting and Deferred Corrections for Stiff Time Dependent PdesMax Duarte and Matthew Emmett, Lawrence
Berkeley National Laboratory, USA
9:40-9:50 Monolithic Multi-Time-Step Coupling Methods for Transient SystemsSaeid Karimi and Kalyana Nakshatrala,
University of Houston, USA
9:55-10:05 A New Lattice Boltzman Solver on Unstructured Grid and Study of Its PerformanceWeishan Deng, Xiaohe Zhufu, and Jin Xu,
Chinese Academy of Sciences, China
10:10-10:20 Finite-Difference Frequency-Domain Analysis of Photonic Devices with Periodic Structures Based on Domain DecompositionCheng-Han Du, Pochuan Wang, and
Weichung Wang, National Taiwan University, Taiwan
2015 SIAM Conference on Computational Science and Engineering 155
Wednesday, March 18
CP15Applications to Energy Systems and Signals9:10 AM-9:40 AMRoom:254 A
Chair: Duncan A. Mcgregor, Oregon State University, USA
9:10-9:20 Simulation-based Current Estimation in Magnetohydrodynamic GeneratorsDuncan A. Mcgregor, Vrushali Bokil,
and Nathan L. Gibson, Oregon State University, USA; Charles Woodside, National Energy Technology Laboratory, USA
9:25-9:35 Fast Supercomputing Algorithms for Power System Operation and ControlEugene A. Feinberg, Stony Brook
University, USA; Bruce Fardanesh, New York Power Authority, USA; Muqi Li and Roman Samulyak, Stony Brook University, USA; George Stefopoulos, New York Power Authority, USA; Gaurish Telang, Stony Brook University, USA
Wednesday, March 18
CP14Numerical Methods for Control Problems9:10 AM-10:25 AMRoom:251 F
Chair: Ana Maria Soane, US Naval Academy, USA
9:10-9:20 Optimal Order Multigrid Preconditioners for Linear Systems Arising in the Semismooth Newton Method Solution Process of a Class of Control-Constrained ProblemsJyoti Saraswat, Thomas More College,
USA; Andrei Draganescu, University of Maryland, Baltimore County, USA
9:25-9:35 Multigrid Preconditioners for Stochastic Optimal Control Problems with Elliptic Spde ConstraintsAna Maria Soane, US Naval Academy, USA
9:40-9:50 Optimal Control of Level SetsChristopher Basting and Dmitri Kuzmin,
Technische Universität Dortmund, Germany
9:55-10:05 Numerical Realization of the Open Pit Mine Planning ProblemNikolai Strogies and Andreas Griewank,
Humboldt University Berlin, Germany
10:10-10:20 Fractional Powers of Finite Element Approximation for An Parabolic Optimal Control ProblemsManickam Kandasamy and Periasamy
Prakash, Periyar University, India
Wednesday, March 18
CP13Uncertainty Quantification9:10 AM-10:25 AMRoom:251 E
Chair: Uno B. Vaaland, Norwegian University of Science and Technology, Norway
9:10-9:20 A Multi-Model Monte Carlo Framework Based on Ensemble Kalman FilteringJianxun Wang and Heng Xiao, Virginia
Tech, USA
9:25-9:35 Detecting Discontinuities and Localized Features Using Gaussian ProcessesIlias Bilionis, Purdue University, USA;
Nicholas Zabaras, Cornell University, USA
9:40-9:50 Reducing Dimensionality Through Active Subspaces, and the Effect of Gradient Approximations on the Associated EigenpairsUno B. Vaaland, Norwegian University of
Science and Technology, Norway; Paul Constantine, Colorado School of Mines, USA
9:55-10:05 Parallel Methods for Accelerated Multilevel Monte Carlo for Partial Differential Equations with Random InputZane Colgin, Middle Tennessee State
University, USA
10:10-10:20 Topology Optimization under Manufacturing UncertaintiesBoyan S. Lazarov, Technical University of
Denmark, Denmark
156 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
CP18FEM for Fluids and Structures9:10 AM-10:25 AMRoom:150 AB
Chair: Kathrin Smetana, Massachusetts Institute of Technology, USA
9:10-9:20 Dual-Mixed Finite Element Methods for the Brinkman ProblemJason Howell, College of Charleston, USA;
Noel J. Walkington, Carnegie Mellon University, USA
9:25-9:35 Numerical Modeling of Non-Associated Flow Model by Successive Convex Optimization: Application in Incompressible Porous MediaZahra S. Lotfian and Mettupalayam
Sivaselvan, State University of New York at Buffalo, USA
9:40-9:50 High-Order Mixed Finite Elements for a Pressure Poisson Equation Reformulation of the Navier-Stokes Equations with Electric Boundary ConditionsDong Zhou, Temple University, USA;
David Shirokoff, New Jersey Institute of Technology, USA; Benjamin Seibold, Temple University, USA; Rodolfo R. Rosales, Massachusetts Institute of Technology, USA; Prince Chidyagwai, Loyola University, USA
9:55-10:05 A Variational Multi-Scale Approach Using Linear Simplicial Finite Elements for Transient Viscoelastic Solid MechanicsXianyi Zeng and Guglielmo Scovazzi, Duke
University, USA
10:10-10:20 Physically Motivated and Certified Approximation of Large Elastic Structures in Real-TimeKathrin Smetana, Massachusetts Institute
of Technology, USA; Phuong Huynh and David Knezevic, Akselos, Switzerland; Anthony T. Patera, Massachusetts Institute of Technology, USA
Wednesday, March 18
CP17Incompressible and Low Mach-number Fluids9:10 AM-10:25 AMRoom:254 C
Chair: Suchuan Dong, Purdue University, USA
9:10-9:20 Energy-Stable Open Boundary Conditions for Two-Phase FlowsSuchuan Dong, Purdue University, USA
9:25-9:35 Improving the Fluid-Structure Interaction for Ship HydrodynamicsThomas Miras, Fernando A. Rochinha,
Renato N. Elias, José L.D. Alves, Carlos E. Silva, and Alvaro L.G.A. Coutinho, Federal University of Rio de Janerio, Brazil
9:40-9:50 A Stable Projection Method for the Incompressible Navier-Stokes Equations on Arbitrary Geometries and Adaptive Quad/oc-TreesArthur Guittet, University of California,
Santa Barbara, USA
9:55-10:05 A Low Mach Number Model for Moist Atmospheric FlowsMax Duarte, Ann S. Almgren, and John
B. Bell, Lawrence Berkeley National Laboratory, USA
10:10-10:20 An Efficient, Pressure Projection Method for Reacting Low-Mach Flow SimulationsAmir Biglari, Tony Saad, and James C.
Sutherland, University of Utah, USA
Wednesday, March 18
CP16Applications in Geophysics9:10 AM-10:25 AMRoom:254 B
Chair: Fabian Franzelin, University of Stuttgart, Germany
9:10-9:20 Data-Driven Uncertainty Quantification with Adaptive Sparse Grids in Subsurface Flow SimulationsFabian Franzelin and Sergey Oldayshkin,
University of Stuttgart, Germany; Benjamin Peherstorfer, Massachusetts Institute of Technology, USA; Dirk Pflüger, Universität Stuttgart, Germany
9:25-9:35 Quantification of Structural Uncertainty in a Land Surface ModelZhangshuan Hou and Maoyi Huang, Pacific
Northwest National Laboratory, USA; Jaideep Ray and Laura Swiler, Sandia National Laboratories, USA
9:40-9:50 HPC and Model Reduction Algorithms for Large-Scale Simulation of Stochastic Wave Propagation ModelsMahadevan Ganesh, Colorado School of
Mines, USA
9:55-10:05 Integration of Geophysical Fluid Dynamics and Fully 3D Fluid Dynamics to Simulate Multiphysics Coastal Ocean FlowsHansong Tang, City University of New York,
USA; Ke Qu, City College of New York, USA
10:10-10:20 PDE-Constrained Optimization Applied to Core Flooding from Reservoir EngineeringCaleb C. Magruder, Rice University, USA;
Jeremy Brandman and Shivakumar Kameswaran, ExxonMobil Research, USA
2015 SIAM Conference on Computational Science and Engineering 157
Wednesday, March 18
CP21Numerical Models for Fluids9:10 AM-10:25 AMRoom:259
Chair: TBA
9:10-9:20 Brownian and Hydrodynamic Motion of Complex Shaped Particles in Straight and Branching Blood VesselsYaohong Wang, David Eckmann, Ravi
Radhakrish, Helena Vitoshki, and Portonovo Ayyaswamy, University of Pennsylvania, USA
9:25-9:35 An ALE-Phase-Field Method for Dynamic Wetting of Moving ParticlesPengtao Yue, Virginia Tech, USA
9:40-9:50 Interaction Between Toroidal Swimmers in Stokes FlowJianjun Huang, Worcester Polytechnic
Institute, USA; Lisa J. Fauci, Tulane University, USA
9:55-10:05 Simulating Non-Dilute Transport in Porous Media Using a Tcat-Based ModelDeena H. Giffen, North Carolina State
University, USA
10:10-10:20 Hierarchical Model Reduction of the Navier-Stokes Equations for Incompressible Flows in PipesSofia Guzzetti, Emory University, USA;
Simona Perotto, Politecnico di Milano, Italy; Alessandro Veneziani, Emory University, USA
Wednesday, March 18
CP20Modeling at Molecular Scales in Physics and Chemistry9:10 AM-10:10 AMRoom:258
Chair: Yongyong Cai, Purdue University, USA
9:10-9:20 Ground States and Dynamics of Spin-Orbit-Coupled Bose-Einstein CondensatesYongyong Cai, Purdue University, USA;
Weizhu Bao, National University of Singapore, Singapore
9:25-9:35 Fractional Schrödinger DynamicsYanzhi Zhang, Missouri University of
Science and Technology, USA
9:40-9:50 Fast Ewald Summation for Mixed Periodic Boundary Conditions Based on the Nonuniform FftFranziska Nestler and Michael Pippig,
Chemnitz University of Technology, Germany
9:55-10:05 Parallel Replica Dynamics with Spatial Parallelization for a Driven SystemMichael T. Stobb, Juan Meza, and Ashlie
Martini, University of California, Merced, USA
Wednesday, March 18
CP19Finite Element Methods9:10 AM-10:25 AMRoom:150 CD
Chair: Emily Evans, Brigham Young University, USA
9:10-9:20 The Weighted Finite Element Method for Elasticity Problem with SingularityViktor Rukavishnikov, Russian Academy of
Sciences, Russia
9:25-9:35 An Anchored Analysis of Variance Petrov-Galerkin Projection Scheme for a Class of High Dimensional Elliptic Partial Differential EquationsMatthew T. Li, Christophe Audouze, and
Prasanth B. Nair, University of Toronto, Canada
9:40-9:50 Hierarchical Hpk-Adaptivity for Isogeometric AnalysisEmily Evans and Kevin Tew, Brigham Young
University, USA
9:55-10:05 A Stencil Based Finite Element MethodJohan S. Hysing, Tokyo Institute of
Technology, Japan
10:10-10:20 Finite Element Modeling and Analysis of Invisibility Cloaks with MetamaterialsJichun Li, University of Nevada, Las Vegas,
USA
158 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
CP24Models for Geophysical Fluids9:10 AM-10:25 AMRoom:151 AB
Chair: Markus Burkow, University of Bonn, Germany
9:10-9:20 A Numerical Simulation of the Sediment Dynamics in a Three Dimensional Fluid FlowMarkus Burkow and Michael Griebel,
University of Bonn, Germany
9:25-9:35 Three-Dimensional Wavelet-Based Adaptive Mesh Refinement Algorithm for Numerical Simulation of Atmospheric Global Chemical TransportArtem N. Semakin and Yevgenii Rastigejev,
North Carolina A&T State University, USA
9:40-9:50 Free Surface Waves on a Horizontal Shear FlowJohn P. Mchugh, University of New
Hampshire, USA; Gary Lapham, Maine Maritime Academy, USA
9:55-10:05 Openfoam Implementation of a New Subgrid-Scale Model for Large Eddy SimulationRukiye Kara, Mimar Sinan Fine Arts
University, Turkey; Mine Caglar, Koc University, Turkey
10:10-10:20 Quantifying Scale Coupling and Energy Pathways in the OceanHussein Aluie, University of Rochester,
USA; Matthew Hecht, Los Alamos National Laboratory, USA; Geoffrey Vallis, University of Exeter, United Kingdom
Wednesday, March 18
CP23Numerical Methods for Conservation Laws9:10 AM-10:25 AMRoom:260 B
Chair: Rakesh Kumar, Indian Institute of Technology-Bombay, India
9:10-9:20 A Space-Time Finite Volume Differencing Method for Robust Higher Order Schemes for Transport EquationsYaw Kyei, North Carolina Agricultural and
Technical State University, USA
9:25-9:35 Cubic B-Spline Quasi-Interpolation Based Numerical Scheme for Hyperbolic Conservation LawsRakesh Kumar and Sambandam Baskar,
Indian Institute of Technology-Bombay, India
9:40-9:50 Lagrangian Particle Method for Complex FlowsRoman Samulyak, Hsin-Chiang Chen, and
Wei Li, Stony Brook University, USA
9:55-10:05 A Runge-Kutta Discontinuous Galerkin Method for Modeling Storm-Water Flow in Networks of Drainage ChannelsPrapti Neupane and Clint Dawson,
University of Texas at Austin, USA
10:10-10:20 Space-Time Adaptive Multiresolution Simulations of the Compressible Euler EquationsMargarete O. Domingues, Instituto Nacional
de Pesquisas Espaciais, Brazil
Wednesday, March 18
CP22Stochastic Differential Equations9:10 AM-10:25 AMRoom:260 A
Chair: Christophe Audouze, University of Toronto, Canada
9:10-9:20 Local Polynomial Chaos Expansion for Linear Differential Equations with High Dimensional Random InputsYi Chen, Purdue University, USA; Dongbin
Xiu, University of Utah, USA; John D. Jakeman, Sandia National Laboratories, USA; Claude Gittelson, ETH Zürich, Switzerland
9:25-9:35 Stochastic Low-Dimensional Modeling of Natural Convection Using Dynamically Orthogonal DecompositionHessameddin Babaee, Massachusetts
Institute of Technology, USA
9:40-9:50 Anchored ANOVA Petrov-Galerkin (AAPG) Projection Schemes for Parabolic Stochastic Partial Differential EquationsChristophe Audouze and Prasanth B. Nair,
University of Toronto, Canada
9:55-10:05 Fully Implicit Runge-Kutta Methods for Multi-Channel Stiff Stochastic Differential Systems with JumpsViktor Reshniak and Abdul Khaliq, Middle
Tennessee State University, USA; Guannan Zhang, Oak Ridge National Laboratory, USA; David A. Voss, Western Illinois University, USA
10:10-10:20 Variance Reduction in the Simulation of Stochastic Differential EquationsDavid J. Horntrop, New Jersey Institute of
Technology, USA
2015 SIAM Conference on Computational Science and Engineering 159
Wednesday, March 18
MS255Featured Minisymposium: Big Data Analytics10:55 AM-12:35 PMRoom:355
Big data analytics has become a new paradigm for decision making and knowledge discovery. This minisymposium highlights four major topics, urban, graph, biomedical, and scientific data analytics in this area. Urban data analytics harvest the vast amount of data collected from smart devices and networks to improve the life of citizens. Graphs are used to model relationships between entities and hence play a central role in big data analytics. Biomedical data analytics use data-driven approaches to enable discovery and find new medical cures. Scientific data analytics assists scientists to extract knowledge from simulations aiming to solve grand challenge problems.
Organizer: Han-Wei ShenThe Ohio State University, USA
10:55-11:15 Exploring Big Urban DataClaudio T. Silva, New York University, USA
11:20-11:40 Designing Visualizations for Biological ResearchMiriah Meyer, University of Utah, USA
11:45-12:05 Graph Analytics for Scientific DataPeterka Tom, Argonne National Laboratory,
USA
12:10-12:30 Exascale Scientific Data Analytics and VisualizationHan-Wei Shen, The Ohio State University,
USA
Wednesday, March 18
CP26Applications in Computational Science9:10 AM-10:10 AMRoom:150 G
Chair: William F. Mitchell, National Institute of Standards and Technology, USA
9:10-9:20 Updating and Downdating Techniques for NetworksFrancesca Arrigo, Università degli Studi
dell’Insubria, Italy; Michele Benzi, Emory University, USA
9:25-9:35 Using Space Filling Curves to Find An Element That Contains a Given PointWilliam F. Mitchell, National Institute of
Standards and Technology, USA
9:40-9:50 Dynamic Causal Modelling of Brain-Behaviour RelationshipsJean Daunizeau and Lionel Rigoux,
Université Pierre et Marie Curie, France
9:55-10:05 Topology Backs Holistic MedicineFernando Schwartz, University of Tennessee,
USA; Louis Xiang, Chinese University of Hong Kong, Hong Kong; Kwai L. Wong, University of Tennessee and Oak Ridge National Laboratory, USA
Coffee Break10:25 AM-10:55 AMRoom:355
Wednesday, March 18
CP25Linear Algebra Methods9:10 AM-10:25 AMRoom:151 DE
Chair: Daniel B. Szyld, Temple University, USA
9:10-9:20 Efficient Low-Rank Solutions of Generalized Lyapunov EquationsDaniel B. Szyld, Temple University, USA;
Setephen Shank, Massachusetts Institute of Technology, USA; Valeria Simoncini, Universita’ di Bologna, Italy
9:25-9:35 An Implementation and Analysis of the Refined Projection Method For (Jacobi-)Davidson Type MethodsLingfei Wu and Andreas Stathopoulos,
College of William & Mary, USA
9:40-9:50 On a priori and a posteriori Eigenvalue/eigenvector Error Estimates for Nonlinear Eigenvalue ProblemsAgnieszka Miedlar, Technische Universität
Berlin, Germany; Daniel Kressner, EPFL, Switzerland
9:55-10:05 Lu and Partial Orthogonalization Preconditioning for Conjugate Gradient Solution of Overdetermined Sparse Least Squares ProblemsGary W. Howell, North Carolina State
University, USA; Marc Baboulin, INRIA/University of Paris-Sud, France
10:10-10:20 Tensor Rank Prediction via Cross ValidationWoody N. Austin, University of Texas at
Austin, USA; Tamara G. Kolda and Todd Plantenga, Sandia National Laboratories, USA
160 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
MS258Streamlining Application Performance Portability - Part I of II10:55 AM-12:35 PMRoom:250 B
For Part 2 see MS283 Achieving sustainable performance among different computer architectures often cannot be addressed with ingenuous combinations of compiler optimization options and manual rewriting. In contrast, auto-tuning (AT) technologies based, for example, on static modifications (typically pragmas), run-time optimizations, and source to source transformations have enabled sustained performance on a variety of computer architectures. As we move towards more complex computer architectures and higher levels of concurrency, AT is expected to play a major role in giving applications a gateway to performance portability. Of particular interest is the use of AT in the context of kernels that are the core of most large applications, including linear solvers, eigensolvers and stencil computations. In this minisymposium we will discuss AT frameworks and technologies, show examples of how they have been used in practice, and the corresponding performance gains.
Organizer: Takahiro KatagiriUniversity of Tokyo, Japan
Organizer: Toshiyuki ImamuraRIKEN, Japan
Organizer: Osni A. MarquesLawrence Berkeley National Laboratory, USA
10:55-11:15 Towards Auto-tuning in the Era of 200+ Thread Parallelisms --- FIBER Framework and Minimizing Software Stack ---Takahiro Katagiri, Satoshi Ohshima, and
Masaharu Matsumoto, University of Tokyo, Japan
Wednesday, March 18
MS257Recent Advances in Numerical Methods for Interface Problems - Part III of IV10:55 AM-12:35 PMRoom:250 A
For Part 2 see MS233 For Part 4 see MS282 Many real world applications are characterized by multiple materials and complex fluids, and they often lead to interface problems. It is imperative to develop efficient and stable numerical methods for these problems. Great efforts have been made for solving interface problems and tracing the moving interfaces in the past decades. However, many challenges, such as the lack of regularity of physical solutions due to the discontinuity across interfaces, still hinder the development of efficient numerical methods. This minisymposium intends to create a forum for researchers from different fields to discuss recent advances on the interface methods and their applications.
Organizer: Xiaoming HeMissouri University of Science and Technology, USA
Organizer: Xiaolin LiState University of New York, Stony Brook, USA
10:55-11:15 Optimal Energy Conserving Discontinuous Galerkin Methods for the Wave Propagation Problems in Heterogeneous MediaYulong Xing, University of Tennessee and
Oak Ridge National Laboratory, USA
11:20-11:40 Surface Phase Separation Mediated by Nonlocal InteractionsYongcheng Zhou, Colorado State University,
USA
11:45-12:05 Improvements in the Level Set Method with a Focus on Curvature-Dependent ForcingChris Vogl, University of Washington, USA
12:10-12:30 A Multi-physics Domain Decomposition Method for Navier-Stokes-Darcy ModelXiaoming He, Missouri University of Science
and Technology, USA
Wednesday, March 18
MS256Distributed Cyber-Physical Systems: Modelling and Controlling the Power Grid - Part I of II10:55 AM-12:35 PMRoom:355 A
For Part 2 see MS281 The Power Grid is a geographically distributed cyber-physical system, and its system complexity and the volume of data associated with it are growing. The speakers in the minisymposium will address recent advances in algorithms that accelerate the performance of software tools developed to model, optimize, and control the Grid.
Organizer: Alex PothenPurdue University, USA
Organizer: Vaithianathan VenkatasubramanianWashington State University, USA
Organizer: Mahantesh HalappanavarPacific Northwest National Laboratory, USA
10:55-11:15 Fast Algorithms for Synchrophasor ComputationsVaithianathan Venkatasubramanian, Tianying
Wu, Seyed Arash Sarmadi, and Ebrahim Rezaei, Washington State University, USA
11:20-11:40 Exploiting Network Laplacian Structure in Power Grid DynamicsChristopher DeMarco and Honghao Zheng,
University of Wisconsin, Madison, USA
11:45-12:05 Distributed Optimization Algorithms for Wide-Area Oscillation Monitoring in Power SystemsAranya Chakrabortty and Seyedbehzad
Nabavi, North Carolina State University, USA
12:10-12:30 Probability Density Methods for the Analysis of Power Grids Under UncertaintyDavid A. Barajas-Solano and Alexander
Tartakovsky, Pacific Northwest National Laboratory, USA; Debojyoti Ghosh, Emil M. Constantinescu, and Shrirang Abhyankar, Argonne National Laboratory, USA; Zhenyu Huang, Pacific Northwest National Laboratory, USA
continued on next page
2015 SIAM Conference on Computational Science and Engineering 161
Wednesday, March 18
MS260Recent Advances in Model Reduction - Part IV of V10:55 AM-12:35 PMRoom:250 D
For Part 3 see MS236 For Part 5 see MS285 Model reduction has become an increasingly important tool to mitigate the computational burden of modeling and simulation in time-critical (e.g., model-predictive control) and many query (e.g., Bayesian inversion) applications. This minisymposium presents recent advances that address the primary challenges facing such methods, such as preserving intrinsic problem structure, handling high- dimensional parameter spaces, integration with existing simulation codes, stability, optimization and uncertainty quantification and control.
Organizer: Kevin T. CarlbergSandia National Laboratories, USA
Organizer: Gianluigi RozzaSISSA, International School for Advanced Studies, Trieste, Italy
10:55-11:15 Model Reduction in Physics-Based Sound SynthesisDoug L. James and Timothy Langlois,
Cornell University, USA
11:20-11:40 Reduced-order Models using Dynamic Mode DecompositionClarence Rowley, Matthew O. Williams,
Maziar S. Hemati, and Scott Dawson, Princeton University, USA
11:45-12:05 Iterative Solution Techniques in Reduced-order ModelingVirginia Forstall and Howard C. Elman,
University of Maryland, College Park, USA
12:10-12:30 Online Adaptive Model ReductionBenjamin Peherstorfer and Karen E.
Willcox, Massachusetts Institute of Technology, USA
Wednesday, March 18
MS259Parallel, Multiscale, Multiphysics Simulation Using MOOSE - Part I of II10:55 AM-12:35 PMRoom:250 C
For Part 2 see MS284 The Idaho National Laboratory (INL)-developed Multiphysics Object Oriented Simulation Environment (MOOSE; www.mooseframework.org), is an open-source, parallel computational platform that enables the solution of complex, fully-implicit multiphysics systems. MOOSE provides a set of computational tools that scientists and engineers can use to create sophisticated multiphysics simulations. Applications built using MOOSE have computed solutions for chemical reaction and transport equations, computational fluid dynamics, solid mechanics, heat conduction, mesoscale materials modeling, geomechanics, and others. This minisymposium highlights some of the recent results obtained using the MOOSE platform.
Organizer: Derek R. GastonIdaho National Laboratory, USA
Organizer: Andrew SlaughterIdaho National Laboratory, USA
10:55-11:15 Computational Microstructure Science Using the Moose FrameworkBradley Fromm, Daniel Schwen, and
Michael Tonks, Idaho National Laboratory, USA
11:20-11:40 Microstructural Modeling of Fracture in Uranium Dioxide Using a Phase-Field Based ApproachPritam Chakraborty and Michael Tonks,
Idaho National Laboratory, USA
11:45-12:05 Fission Bubble Modeling in Uranium CarbideChristopher Matthews and Andrew Klein,
Oregon State University, USA
12:10-12:30 Grizzly: A Simulation Tool for Nuclear Power Plant Component AgingBenjamin Spencer, Idaho National
Laboratory, USA
11:20-11:40 Active Harmony: Making Autotuning EasyJeffery Hollingsworth, University of
Maryland, USA
11:45-12:05 The Role of Autotuning Compiler TechnologyMary Hall, University of Utah, USA
12:10-12:30 A Framework for Separation of Concerns Between Application Requirements and System RequirementsHiroyuki Takizawa, Shoichi Hirasawa, and
Hiroaki Kobayashi, Tohoku University, Japan
162 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
MS262Topology Mapping and Locality - Part I of II10:55 AM-12:35 PMRoom:250 F
For Part 2 see MS287 This two part minisymposium focuses on topology mapping to improve locality and computational performance, an important issue that will become crucial as system size continues to increase. Specifically we look at the assignment of tasks to allocated processors for an application. In this first part, speakers will present results for algorithms to improve geometric task mapping, locality for sparse unstructured communication patterns, application performance using dynamic monitoring, and data management. In the second part, speakers will present results for graph models and dragonfly networks.
Organizer: Vitus LeungSandia National Laboratories, USA
Organizer: Torsten HoeflerUniversity of Illinois, USA
10:55-11:15 Local Search to Improve Geometric Task MappingVitus Leung, Sandia National Laboratories,
USA; David Bunde, Knox College, USA
11:20-11:40 Demonstrating Improved Application Performance Using Dynamic Monitoring and Task MappingAnn Gentile, James Brandt, Karen D.
Devine, and Kevin Pedretti, Sandia National Laboratories, USA
11:45-12:05 Locality for Sparse Unstructured Communication PatternsOzan Tuncer, Boston University, USA; Vitus
Leung, Sandia National Laboratories, USA; Ayse Coskun, Boston University, USA
12:10-12:30 Topology Aware Process Placement and Data ManagementEmmanuel Jeannot, INRIA, France
11:45-12:05 Parareal Library for Time-Dependent PDEs in Medical ApplicationsAndreas Kreienbuehl, University of Lugano,
Switzerland; Arne Naegel, Goethe University Frankfurt, Germany; Daniel Ruprecht, Universita’ della Svizzera Italiana, Italy; Robert Speck, Jülich Supercomputing Centre, Germany; Gabriel Wittum, Goethe University Frankfurt, Germany; Rolf Krause, University of Lugano, Switzerland
12:10-12:30 A Posteriori Analysis of the Parareal Algorithm: Efficient Resource Allocation and Convergence CriteriaJehanzeb H. Chaudhry, Florida State
University, USA; Don Estep and Simon Tavener, Colorado State University, USA
Wednesday, March 18
MS261Parallel Methods for Time Integration - Part I of II10:55 AM-12:35 PMRoom:250 E
For Part 2 see MS286 Current trends in supercomputing are leading towards systems with more, but not faster, processors. Therefore, faster compute speeds must come from greater parallelism and this leads to a bottleneck for sequential time integration. Given this situation, interest in achieving parallelism in time has substantially increased in the past decade. A goal of this minisymposium is to survey the breadth of this emerging field and to detail recent advances. Eight talks are featured which bring together experts on four of the most popular current approaches: parareal, spectral deferred correction, multigrid reduction in time and the asymptotic parallel-in-time approach.
Organizer: Jacob B. SchroderLawrence Livermore National Laboratory, USA
Organizer: Ronald HaynesMemorial University, Newfoundland, Canada
Organizer: Scott MaclachlanTufts University, USA
10:55-11:15 An Overview of the Multigrid Reduction in Time (MGRIT) MethodStephanie Friedhoff, Katholieke Universiteit
Leuven, Belgium
11:20-11:40 Multigrid Reduction in Time (MGRIT): A Flexible and Non-Intrusive MethodJacob B. Schroder, Robert Falgout, Ulrike
Meier Yang, Tzanio V. Kolev, and Veselin Dobrev, Lawrence Livermore National Laboratory, USA; Stephanie Friedhoff, Katholieke Universiteit Leuven, Belgium; Scott Maclachlan, Tufts University, USA
continued in next column
2015 SIAM Conference on Computational Science and Engineering 163
11:45-12:05 Sample-based Low-rank Methods for Tensor-structured Parametric EquationsLoïc Giraldi, Anthony Nouy, and Olivier
Zahm, Ecole Centrale de Nantes, France
12:10-12:30 Inverse Subspace Iteration for Spectral Stochastic Finite Element MethodsBedrich Sousedik, University of Maryland,
Baltimore County, USA; Howard C. Elman, University of Maryland, College Park, USA
Wednesday, March 18
MS264Numerical Methods for High-Dimensional Stochastic and Parametric Problems - Part IV of V10:55 AM-12:35 PMRoom:251 B
For Part 3 see MS240 For Part 5 see MS289 Development of scalable numerical methods for the solution of problems with high-dimensional stochastic or parametric inputs has been a subject of active research in computational sciences and engineering. This is motivated by the need to reduce the issue of curse-of-dimensionality, i.e., exponential increase of computational complexity, in predictive simulation of physical systems where accurate specification of governing laws entails a large number of parameters or stochastic variables. To this end, several novel approaches based on multi-level, reduced order, sparse, and low-rank approximations have been recently developed. This minisymposium presents state-of- the-art in such developments for various aspects of high-dimensional computation, including analysis, algorithms, implementation, and applications.
Organizer: Dongbin XiuUniversity of Utah, USA
Organizer: Alireza DoostanUniversity of Colorado Boulder, USA
10:55-11:15 A Low-Rank Approximation Method for High-Dimensional Uncertainty QuantificationAlireza Doostan, University of Colorado
Boulder, USA; Dongbin Xiu, University of Utah, USA; Akil Narayan, University of Massachusetts, Dartmouth, USA; Hillary Fairbanks, University of Colorado Boulder, USA
11:20-11:40 Bayesian Compressive Sensing Framework for High-Dimensional Surrogate ConstructionKhachik Sargsyan, Cosmin Safta, Bert J.
Debusschere, and Habib N. Najm, Sandia National Laboratories, USA
Wednesday, March 18
MS263Hydrodynamics at Small Scales - Part I of II10:55 AM-12:35 PMRoom:251 A
For Part 2 see MS288 With the increased interest in nano- and micro-fluidics, as well as biological systems, it has become necessary to develop tools for hydrodynamic calculations at microscopic and mesoscopic scales. This minisymposium will focus on advances in multiscale numerical methods for simulating flows at mesoscopic scales. Of particular interest will be fluctuating hydrodynamics of complex fluids such as reactive mixtures, colloidal passive and active suspensions, and multi-phase fluids. Issues to be discussed will include the inclusion of thermal fluctuations in analytical and computational models, as well as applications in the physical sciences, biology, and engineering.
Organizer: Aleksandar DonevCourant Institute of Mathematical Sciences, New York University, USA
10:55-11:15 Fluctuating Hydrodynamic from the Theory of Coarse-GrainingPep Español, Universidad Nacional de
Educación a Distancia, Spain
11:20-11:40 Fluctuating Hydrodynamics of Reactive Multispecies MixturesJohn B. Bell, Lawrence Berkeley National
Laboratory, USA
11:45-12:05 Modeling Multi-Phase Flow Using Fluctuating HydrodynamicsAnuj Chaudhri and John B. Bell, Lawrence
Berkeley National Laboratory, USA; Alejandro Garcia, San Jose State University, USA; Aleksandar Donev, Courant Institute of Mathematical Sciences, New York University, USA
12:10-12:30 Temporal Integrators for Fluctuating HydrodynamicsSteven D. Delong, Eric Vanden-Eijnden,
and Aleksandar Donev, Courant Institute of Mathematical Sciences, New York University, USA
continued in next column
164 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
MS267Inverse Problems and Data Assimilation - Part V of VI10:55 AM-12:35 PMRoom:251 E
For Part 4 see MS243 For Part 6 see MS292 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to: 1) deterministic and statistical approaches to inversion problems and data assimilation; 2) reduced order modeling inversion framework; 3) treatment of nonlinear and non-smooth processes; 4) sensitivity analysis and its application to adaptive (targeting) observation; 5) operational data assimilation systems; 6) uncertainties impact studies; 7) automatic tools to support inversion and data assimilation methodologies.
Organizer: Razvan StefanescuVirginia Tech, USA
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Ionel M. NavonFlorida State University, USA
Organizer: Dacian N. DaescuPortland State University, USA
10:55-11:15 Model Reduction and Sensor Placement in a Feedback Flow Control ProblemJeff Borggaard, Serkan Gugercin, and
Lizette Zietsman, Virginia Tech, USA
11:20-11:40 Goal-Based Rom Adjoint for Optimal Sensor Locations and Data AssimilationFangxin Fang and Christopher Pain,
Imperial College London, United Kingdom; Ionel M. Navon, Florida State University, USA; Zhizhao Che, Andrew G. Buchan, Pavlidis Dimitrios, and Dunhui Xiao, Imperial College London, United Kingdom
Wednesday, March 18
MS266Randomized Algorithms in Numerical Linear Algebra - Part I of II10:55 AM-12:35 PMRoom:251 D
For Part 2 see MS291 Recent work on developing randomized matrix algorithms has led to the high-quality numerical implementations that can outperform deterministic methods while still providing very accurate results. This minisymposium will present randomized algorithms and software that enhance numerical linear algebra computations. The speakers will describe how randomized algorithms can accelerate general or structured matrix computations. The applications will include the computation of low-rank approximations, preconditioning for stochastic gradient algorithms, principal component analysis, random butterfly transformations in sparse linear systems, randomized HSS compressions and fast generation of random matrices.
Organizer: Marc BaboulinINRIA/University of Paris-Sud, France
Organizer: Jack J. DongarraUniversity of Tennessee, Knoxville, USA
Organizer: Xiaoye Sherry LiLawrence Berkeley National Laboratory, USA
10:55-11:15 Online Principal Component AnalysisChristos Boutsidis, Yahoo! Labs, Santa
Clara, USA
11:20-11:40 Implementation of a Fast Multifrontal Solver Using Randomized HSS CompressionPieter Ghysels, Francois-Henry Rouet, and
Xiaoye Sherry Li, Lawrence Berkeley National Laboratory, USA
11:45-12:05 Deterministic and Randomized CUR and Nystrom ApproximationsIlse Ipsen, North Carolina State University,
USA
12:10-12:30 Fast Generation of Random Orthogonal MatricesAmal Khabou, Francoise Tisseur, and
Nicholas J. Higham, University of Manchester, United Kingdom
Wednesday, March 18
MS265A New Class of Finite Element Methods: Weak Galerkin Methods - Part I of II10:55 AM-12:35 PMRoom:251 C
For Part 2 see MS290 A new class of finite element methods, called weak Galerkin (WG) methods, were recently introduced by Wang and Ye for some model PDEs with appropriately defined variational formulations. The WGFEMs, by design, make use of discontinuous piecewise polynomials on finite element partitions with arbitrary shape of polygons and polyhedrons. The WGFEMs have the flexibility in handling complex geometry and low regularity solutions, the simplicity in analyzing real-world physical problems and the symmetry in reformulating the original PDEs. The minisymposium aims to bring together researchers to exchange ideas on development of WGFEMs and its applications. The minisymposium pays a particular attention to attract female participants, graduate students, postdocs and junior faculty members.
Organizer: James LiuColorado State University, USA
10:55-11:15 Weak Galerkin Methods for Partial Differential EquationsXiu Ye, University of Arkansas at Little
Rock, USA
11:20-11:40 Computational Aspects of Weak Galerkin MethodsLin Mu, Michigan State University, USA
11:45-12:05 Weak Galerkin Methods for Linear Elasticity ProblemsShangyou Zhang, University of Delaware,
USA
12:10-12:30 Title Not Available at Time of PublicationMark Burg, Texas A&M University, USA
continued on next page
2015 SIAM Conference on Computational Science and Engineering 165
11:20-11:40 A New Atmospheric Dynamic Core using 4th Order Flux Reconstruction Method with WENO LimitingXingliang Li, China Meteorological
Administration, China; Ziyao Sun and Feng Xiao, Tokyo Institute of Technology, Japan; Chungang Chen, Xi’an Jiaotong University, P.R. China; Xueshun Shen, China Meteorological Administration, China; Ming Xue, University of Oklahoma, USA
11:45-12:05 Higher Order Finite Volume Approximations of the Inviscid Primitive Equations in a Complex DomainGung-Min Gie, University of Louisville,
USA; Arthur Bousquet, YoungJoon Hong, and Roger M. Temam, Indiana University, USA
12:10-12:30 Title Not Available at Time of PublicationYau Shu Wong, University of Alberta,
Canada
Wednesday, March 18
MS268Mathematical and Physical Properties of Numerical Schemes for Complex Dynamical Systems - Part I of II10:55 AM-12:35 PMRoom:251 F
For Part 2 see MS293 Stability and convergence are fundamental issues in the study of numerical algorithms. Another important aspect is their capability of mimicking certain physical properties of the target continuous system, such as energy conversion, or tracer transport. In this minisymposium, researchers from different areas in applied and computational mathematics are invited to present their latest results in studies of numerical schemes for complex dynamical system. Finite difference and finite volume schemes are of primary interests here, but finite element methods may also be included. Application areas include but are not limited to aeroelasticity, classical fluid dynamics, and geophysical fluid dynamics.
Organizer: Qingshan ChenClemson University, USA
Organizer: Gung-Min GieUniversity of Louisville, USA
10:55-11:15 Numerical Weather Prediction in Two Dimensions with Topography, using a Finite Volume MethodRoger M. Temam and Arthur Bousquet,
Indiana University, USA; Mickael Chekroun, University of California, Los Angeles, USA; YoungJoon Hong, Indiana University, USA; Joseph J. Tribbia, National Center for Atmospheric Research, USA
11:45-12:05 Reduced Order Modelling (rom) of the Navier-Stokes Equations for 3D Free Surface FlowsDunhui Xiao, Fangxin Fang, Christopher
Pain, and Andrew G. Buchan, Imperial College London, United Kingdom; Ionel M. Navon, Florida State University, USA
12:10-12:30 Optimized Reduced Order Modeling and Data Assimilation for Hydrodynamics with Large Time Step ObservationsDiana Bistrian, Politechnic University of
Timisoara, Romania; Ionel M. Navon, Florida State University, USA
continued in next column
166 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
MS271Advances in Computational Methods for MHD and Multi-Fluid Models of Plasma - Part I of II10:55 AM-12:35 PMRoom:254 C
For Part 2 see MS295 Plasmas are ionized gases that appear in a wide range of applications including astrophysics and space physics, as well as in laboratory settings such as in magnetically confined fusion. Modeling and understanding the basic phenomenon in plasma have long been topics in applied mathematics, yet many problems remain far too numerically intensive for modern parallel computers. The main difficulty is that plasmas span a wide range of spatial and temporal scales, requiring a wide array of computational mathematics tools. This minisymposium aims to describe recent advances in the development of numerical methods and computational frameworks for the numerical solution of the magnetohydrodynamics (MHD) equations and other multi-fluid plasma physics models.
Organizer: James A. RossmanithIowa State University, USA
Organizer: Lucian IvanUniversity of Waterloo, Canada
Organizer: Qi TangMichigan State University, USA
10:55-11:15 Globally Divergence-Free Projection Methods for Ideal MagnetohydrodynamicsJames A. Rossmanith, Iowa State University,
USA
11:20-11:40 Block Adaptive MHD Simulations for Solar Coronal DynamicsRony Keppens, Katholieke Universiteit
Leuven, Belgium
11:45-12:05 Positivity-Preserving Weno Schemes with Constrained Transport for Ideal MHDQi Tang, Michigan State University, USA
12:10-12:30 Multi-Fluid Plasma Modeling Through the Collisional Transition RegimeUri Shumlak, Andrew Ho, Robert Lilly, Sean
Miller, Noah F. Reddell, and Eder Sousa, University of Washington, USA
Wednesday, March 18
MS270Flooding the Cores - Computing Flooding Events with Many-Core and Accelerator Technologies - Part I of II10:55 AM-12:35 PMRoom:254 B
For Part 2 see MS294 Detailed simulation of flooding events, such as in storm surges, tsunamis or rain floods, requires substantial computing power and literally floods the computer with job tasks. Relevant supercomputing technology, on the other hand, is characterized by an increasing amount of parallelism on all scales. Hence, numerical methods, algorithms and software need to be tuned for data parallelism, many-core compute nodes (including accelerator technology) and large-scale parallelism. This minisymposium thus focuses on approaches to reduce time to solution for simulating complex flooding events on supercomputers and architectures characterized by many-core and accelerator technologies, in particular GPUs and Xeon Phis.
Organizer: Kyle T. MandliColumbia University, USA
Organizer: Michael BaderTU München, Germany
Organizer: Tobias WeinzierlDurham University, United Kingdom
10:55-11:15 Parallelization Techniques for Tsunami Simulation Using Space-Fillig-Curve OrdersMichael Bader and Oliver Meister, TU
München, Germany
11:20-11:40 QuickSched - Using Tasks for Massively Parallel Hybrid Shared/distributed Memory ComputingPedro Gonnet, University of Oxford, United
Kingdom
11:45-12:05 Understanding Tsunami and Hurricane Deposits with a Mess-Scale Model for Sediment DynamicsRobert Weiss and Wei Cheng, Virginia Tech,
USA
12:10-12:30 A Patchwork Family - Task Distribution Patterns for Shallow Water Equations on Patch-structured AMR GridsTobias Weinzierl, Durham University, United
Kingdom
Wednesday, March 18
MS269Optimization Algorithms for Power Grid Expansion, Transmission, and Contingency Analysis10:55 AM-12:35 PMRoom:254 A
Next generation power grid requires new mathematics and tailored optimization algorithms. This minisymposium covers four different aspects of decision-making process in power grid, namely, the expansion investment, economic dispatch, transmission scheduling, and contingency analysis. We bring together experts with the goal of presenting recent advances in these areas. Talks are organized with the emphasis on the role of computational tools and optimization algorithms in the development of next generation power grid.
Organizer: Fu LinArgonne National Laboratory, USA
Organizer: Sven LeyfferArgonne National Laboratory, USA
Organizer: Todd MunsonArgonne National Laboratory, USA
10:55-11:15 Decomposition Algorithms for Transmission and Generation Investment PlanningFrancisco Munoz and Jean-Paul Watson,
Sandia National Laboratories, USA
11:20-11:40 Moment-Based Relaxations of the Optimal Power Flow ProblemDaniel Molzahn and Ian Hiskens, University
of Michigan, USA
11:45-12:05 Computational Study of Security-Constrained Economic Dispatch with Multi-Stage ReschedulingYanchao Liu, University of Wisconsin,
Madison, USA; Michael C. Ferris, University of Wisconsin, USA; Feng Zhao, ISO New England, USA
12:10-12:30 Towards Efficient N-x Contingency Selection Using Group Betweenness CentralityMahantesh Halappanavar, Yousu Chen,
and Zhenyu Huang, Pacific Northwest National Laboratory, USA
2015 SIAM Conference on Computational Science and Engineering 167
Wednesday, March 18
MS274Models and Algorithms for Engineering Optimization Under Uncertainty - Part I of II10:55 AM-12:35 PMRoom:258
For Part 2 see MS298 Engineering optimization problems are often constrained by large-scale simulations of physical systems. In many applications, the parameters and inputs characterizing the physical system are unknown or estimated from data. When solving such optimization problems, it is not only important to accurately characterize the uncertainty and incorporate it in the optimization formulation, but to also determine optimal solutions that are robust or risk-averse to this uncertainty. This minisymposium presents novel risk models and efficient algorithms for the treatment of uncertainty in engineering optimization problems.
Organizer: Bart G. Van Bloemen WaandersSandia National Laboratories, USA
Organizer: Drew P. KouriSandia National Laboratories, USA
10:55-11:15 Integration of Approximate Schur Preconditioners and SQP Algorithms for Nonlinear PDE Optimization under UncertaintyDenis Ridzal, Drew P. Kouri, and Bart G.
Van Bloemen Waanders, Sandia National Laboratories, USA
11:20-11:40 Stochastic Reduced-Order Models in Optimization and Inverse ProblemsWilkins Aquino, Duke University, USA;
James Warner, NASA Langley Research Center, USA; Mircea Grigoriu, Cornell University, USA
11:45-12:05 Scalable Algorithms for Optimal Control of Systems Governed by PDEs under UncertaintyAlen Alexanderian, University of Texas at
Austin, USA; Noemi Petra, University of California, Merced, USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Omar Ghattas, University of Texas at Austin, USA
Wednesday, March 18
MS273Algorithms for the Eigenvalue Problem in Electronic Structure Computations - Part I of II10:55 AM-12:35 PMRoom:150 DE
For Part 2 see MS297 The electronic structure of complex quantum mechanical systems is determined by the solution of a large number of one-dimensional non-linearly coupled Schrodinger equations. Upon discretization this set of equations translates into Hermitian symmetric eigenvalue problems. Due to the many existing discretization schemes eigenproblems come in many flavours and their solution requires a multidisciplinary approach. This minisymposium addresses the eigenproblems heterogeneity in connection with the rich variety of algorithms and implementations which are used to solve them. The ultimate goal is to make computational physicists and computer scientists aware of the current status of research and scientific advancement.
Organizer: Edoardo A. Di NapoliJülich Supercomputing Centre, Germany
Organizer: Eric PolizziUniversity of Massachusetts, Amherst, USA
Organizer: Yousef SaadUniversity of Minnesota, USA
10:55-11:15 Planning the Next Generation of Electronic Structure CodesJames R. Chelikowsky, University of Texas at
Austin, USA
11:20-11:40 Updating Strategies for Efficient Large-Scale Electronic Structure CalculationsRoland Wittmann and Thomas K. Huckle,
Technische Universität München, Germany
11:45-12:05 A Projected Preconditioned Conjugate Gradient Algorithm for Eigenvalue CalculationChao Yang and Eugene Vecharynski,
Lawrence Berkeley National Laboratory, USA; John Pask, Lawrence Livermore National Laboratory, USA
12:10-12:30 Ongoing Developments in BigDFT towards the ab-initio Computation of Resonant StatesAlessandro Cerioni, Université Grenoble,
France; Luigi Genovese, Thierry Deutsch, Ivan Duchemin, and Maxime Moriniere, CEA, France
Wednesday, March 18
MS272Recent Advances in High Order Finite Element Methods for Atmospheric Sciences - Part I of II10:55 AM-12:35 PMRoom:150 AB
For Part 2 see MS296 Global and regional models are heavily used for weather forecasting, policy decisions and as compact laboratories for improving our scientific understanding of the Earth system. The next generation of numerical methods will soon be used for answering pressing questions on global/regional scale interactions, extreme events, and regional scale climate change. This minisymposium focuses on the latest advanced developments in high(er) order finite element methods including Discontinuous Galerkin,and high order finite volume methods. The speakers will address theoretical and computational issues such as stability, optimal order convergence, sparse discretization, parallel implementation, (hp)-adaptivity, large-scale problems and efficient implementations.
Organizer: Paul UllrichUniversity of California, Davis, USA
Organizer: Tan Bui-ThanhUniversity of Texas at Austin, USA
10:55-11:15 Tempest: Efficient Computation of Atmospheric Flows Using High-Order Local Discretization MethodsPaul Ullrich, University of California, Davis,
USA
11:20-11:40 Vertical Discretization of Geophysical Flows with the Hybrid Finite Element Method - Normal Mode and Wave Dispersion PropertiesJorge E. Guerra and Paul Ullrich, University
of California, Davis, USA
11:45-12:05 Toward Exa-Scale Computing in CAM-SEDavid M. Hall and Henry Tufo, University
of Colorado Boulder, USA
12:10-12:30 A High-Order Global Discontinuous Galerkin Non-Hydrostatic Atmospheric Model Using Hevi Time Integration SchemeRam Nair, National Center for Atmospheric
Research, USA; Lei Bao, University of Colorado Boulder, USA
continued on next page
168 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
MS276Advances in Compressed Sensing and Structured Sparse Representations - Part I of II10:55 AM-12:35 PMRoom:260 A
For Part 2 see MS300 The goal of this minisymposium is to present recent progress on models and algorithms for compressed sensing that go beyond the traditional sparsity setting. It has long been acknowledged that many practical applications of compressed sensing - ranging from medical sciences to optical imaging and wireless communications - possess substantially more structure than sparsity alone. Leveraging such structure presents significant challenges in both the construction of measurements (e.g. using tools from communications and optimization) and the design of new, often probabilistic, algorithms. This minisymposium will bring together leading experts in the field to latest research into these vital questions.
Organizer: Ben AdcockSimon Fraser University, Canada
Organizer: Anders HansenUniversity of Cambridge, United Kingdom
10:55-11:15 Statistical Methods in Compressive Sensing: Theory and ExperimentLarry Carin, Duke University, USA
11:20-11:40 Model-Based Sketching and Recovery with ExpandersLuca Baldassarre and Volkan Cevher, École
Polytechnique Fédérale de Lausanne, Switzerland
11:45-12:05 Performance Limits of Ideal Decoders in Linear Inverse ProblemsAnthony Bourrier, Gipsa-Lab, France
12:10-12:30 Practical Compressed Sensing: On Asymptotic StructureBogdan Roman, University of Cambridge,
United Kingdom
Wednesday, March 18
MS275Preconditioners for Sparse Least Squares10:55 AM-12:35 PMRoom:259
It’s natural to extend concepts and techniques used to solve sparse linear systems to solving linear least squares problems. This minisymposium brings together interested researchers with a variety of approaches. For the overdetermined case, we use iteration methods, e.g. conjugate gradient, improving conditioning of the iterative system by LU factorization and partial orthogonalization, tolerance for which depends on estimated conditioning of L. For the over- and underdetermined case, Krylov methods and inner iteration are successfully employed. Recursive multilevel techniques can improve efficiency. Finally, we explore some relevant theory of the conjugate gradient method.
Organizer: Gary W. HowellNorth Carolina State University, USA
10:55-11:15 A Recursive Multilevel Approximate Inverse-Based Preconditioner for Solving General Linear SystemsBruno Carpentieri, University of Groningen,
Netherlands
11:20-11:40 Krylov Subspace Methods Preconditioned by Inner Iterations for Rank-Deficient Least Squares ProblemsKeiichi Morikuni and Miroslav Rozloznik,
Czech Academy of Sciences, Czech Republic; Ken Hayami, National Institute of Informatics, Japan
11:45-12:05 Global Adaptive Dropping in Incomplete FactorizationsMiroslav Tuma, Academy of Sciences of the
Czech Republic, Prague, Czech Republic; Jiri Kopal, Technical University of Liberec, Czech Republic; Miro Rozloznik, Academy of Sciences of the Czech Republic, Prague, Czech Republic
12:10-12:30 Recursive Multilevel Approximate Inverse-Based PreconditioningYiming Bu, University of Electronic Science
and Technology of China, China, and University of Groningen, Netherlands; Bruno Carpentieri, University of Groningen, Netherlands
Wednesday, March 18
MS274Models and Algorithms for Engineering Optimization Under Uncertainty - Part I of IIcontinued
12:10-12:30 A Scalable Compositional Approach to Uncertainty Quantification for the Optimization under Uncertainty of Multi-physics SystemsDoug Allaire, Texas A&M University, USA;
Sergio Amaral, Massachusetts Institute of Technology, USA; Kaiyu Li, Texas A&M University, USA; Karen E. Willcox, Massachusetts Institute of Technology, USA
2015 SIAM Conference on Computational Science and Engineering 169
Wednesday, March 18
MS279Co-Design with Proxy Applications: Results and Experiences - Part I of II10:55 AM-12:35 PMRoom:151 G
For Part 2 see MS304 Effective use of computing environments for scientific and engineering applications is determined by a combination issues throughout the codesign space: hardware, runtime environment, programming models, languages and compilers, algorithm choice and implementation, and more. Our focus is on applications that are large and complex, applying multi-physics at multi-scale, often with source code distribution constraints. Application proxies enable a language for codesign, providing a collaborative tool for exploring large-scale high performance scientific computation. Presentations in this minisymposium will describe experiences using proxies to explore key issues in computational science, providing examples across the codesign spectrum.
Organizer: Richard BarrettSandia National Laboratories, USA
Organizer: Charles (Bert) H. StillLawrence Livermore National Laboratory, USA
10:55-11:15 Co-Design Studies Using Mini-Multifluid-PpmPaul R. Woodward, University of Minnesota,
USA
11:20-11:40 Multi-Material ALE in the Blast CodeVladimir Tomov, Lawrence Livermore
National Laboratory, USA
11:45-12:05 The -Nabla Time-Composite Approach for Multi-Physics Applications ProductivityJean-Sylvain Camier, CEA, France
12:10-12:30 Overview Co-Design at the DOE NNSA TrilabsRichard Barrett, Sandia National
Laboratories, USA
Lunch Break12:35 PM-2:00 PMAttendees on their own
Wednesday, March 18
MS278Advances in Time-Domain Boundary Integral Equations - Part I of II10:55 AM-12:35 PMRoom:151 DE
For Part 2 see MS303 In recent years there has been an increasing interest in understanding and enhancing the simulation of linear evolution equations (transient waves, Stokes flow, and diffusion) using boundary integral equation (BIE) methods. This minisymposium brings together researchers in the field of time-domain BIE to enhance relationships and to discuss current progress and future trends in theory, computation and advanced applications. A very wide range of topics are covered such as fast methods, stable time-stepping strategies (marching-on-in-time and convolution quadrature), well- posedness, and new applications in electromagnetism, acoustics, elastodynamics, and heat diffusion.
Organizer: Nicolas SallesUniversity College London, United Kingdom
Organizer: Francisco J. J. SayasUniversity of Delaware, USA
10:55-11:15 An Exponentially Convergent Convolution Quadrature Method for Time-Domain Boundary Integral EquationsNicolas Salles and Timo Betcke, University
College London, United Kingdom
11:20-11:40 Adaptive Time Domain Boundary Element Methods (TD-BEM) for Scattering ProblemsMatthias Maischak and Matthias Gläfke,
Brunel University, United Kingdom
11:45-12:05 Fast Galerkin Method for Parabolic Space-Time Boundary Integral EquationsJohannes Tausch, Southern Methodist
University, USA
12:10-12:30 Convolution Quadrature Discretization of Volume Integral EquationsPeter B. Monk, University of Delaware, USA
Wednesday, March 18
MS277Computational Techniques for Wave Equations in Second Order Form - Part I of II10:55 AM-12:35 PMRoom:260 B
For Part 2 see MS301 Many wave systems are most naturally written in second order form. First order reformulations, though possible, typically require additional constraints and more variables. Despite this fact, the theory of efficient time-domain discretization schemes is better developed in the first order case. Speakers in this minisymposium will discuss the generalization of concepts such as upwinding which are familiar for first order systems, as well as more traditional methods which leverage special features of second order formulations. In addition, special techniques for treating high frequency waves and random media as well as applications to complex physical phenomena will be considered.
Organizer: Thomas M. HagstromSouthern Methodist University, USA
Organizer: Daniel AppeloUniversity of New Mexico, USA
10:55-11:15 The Double Absorbing Boundary Formulation of Complete Radiation Boundary ConditionsThomas M. Hagstrom, Southern Methodist
University, USA
11:20-11:40 Performance Analysis of High-Order Discontinuous Galerkin Methods for First and Second Order Formulation of the Wave EquationJulien Diaz, INRIA Bordeaux Sud-Ouest,
France
11:45-12:05 Second-Order Wave Equation with Uncertain Parameters: Analysis and ComputationMohammed Motamed, University of New
Mexico, USA
12:10-12:30 Optimal Energy Conserving Local Discontinuous Galerkin Methods for Second-Order Wave Equation in Heterogeneous MediaChing-Shan Chou, The Ohio State
University, USA
Δ
170 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
MS282Recent Advances in Numerical Methods for Interface Problems - Part IV of IV2:00 PM-3:40 PMRoom:250 A
For Part 3 see MS257 Many real world applications are characterized by multiple materials and complex fluids, and they often lead to interface problems. It is imperative to develop efficient and stable numerical methods for these problems. Great efforts have been made for solving interface problems and tracing the moving interfaces in the past decades. However, many challenges, such as the lack of regularity of physical solutions due to the discontinuity across interfaces, still hinder the development of efficient numerical methods. This minisymposium intends to create a forum for researchers from different fields to discuss recent advances on the interface methods and their applications.
Organizer: Xiaoming HeMissouri University of Science and Technology, USA
Organizer: Xiaolin LiState University of New York, Stony Brook, USA
2:00-2:20 Surfactant Driven Tipstreaming in a Flow Focusing GeometryJacek Wrobel, Tulane University, USA;
Michael Siegel and Michael R. Booty, New Jersey Institute of Technology, USA
2:25-2:45 Immersed Finite Element Methods with Enhanced StabilityXu Zhang, Purdue University, USA; Tao Lin,
Virginia Tech, USA
2:50-3:10 A Finite Element Method for a Stokes Interface ProblemManuel A. Sanchez-Uribe, Brown University,
USA
3:15-3:35 A Low-dimensional Approximation to the Stochastic Elliptic Interface ProblemJu Ming, Beijing Computational Science
Research Center, China
Wednesday, March 18
MS281Distributed Cyber-Physical Systems: Modelling and Controlling the Power Grid - Part II of II2:00 PM-3:40 PMRoom:355 A
For Part 1 see MS256 The Power Grid is a geographically distributed cyber-physical system, and its system complexity and the volume of data associated with it are growing. The speakers in the minisymposium will address recent advances in algorithms that accelerate the performance of software tools developed to model, optimize, and control the Grid.
Organizer: Alex PothenPurdue University, USA
Organizer: Vaithianathan VenkatasubramanianWashington State University, USA
Organizer: Mahantesh HalappanavarPacific Northwest National Laboratory, USA
2:00-2:20 Exploring State Estimation Techniques to Accommodate non-Gaussian NoisesZhenyu Huang, Pacific Northwest National
Laboratory, USA; Ning Zhou, Binghamton University, USA; Mihai Anitescu, Argonne National Laboratory, USA; Shaobu Wang, Pacific Northwest National Laboratory, USA
2:25-2:45 Efficient Algorithms for N-x Contingency Analysis for Power GridsAlex Pothen and Yu-Hong Yeung,
Purdue University, USA; Mahantesh Halappanavar and Zhengyu Huang, Pacific Northwest National Laboratory, USA
2:50-3:10 Policy-switching Schemes for Power System ProtectionRich Meier, Jesse Hostetler, Eduardo
Cotilla-Sanchez, and Alan Fern, Oregon State University, USA
3:15-3:35 Singular Values and Convex Programming for Power System Synchrophasor Data ManagementJoe Chow and Meng Wang, Rensselaer
Polytechnic Institute, USA
Wednesday, March 18
MS280Modeling Across the Curriculum2:00 PM-3:40 PMRoom:355
The second SIAM-NSF Workshop on Modeling across the curriculum (January, 2014) will be described, and an introduction to the report will be presented, together with some more recent progress. The meeting represented a more focused follow up to the 2012 workshop. The primary themes related to developing courses, programs, curricula, materials and training for a stronger emphasis on modeling and applied and computational mathematics in the early grades, middle and high school, and undergraduate programs. The intention is that presentations will be short to allow time for discussion.
Organizer: Peter R. TurnerClarkson University, USA
2:00-2:20 Modeling Across the Curriculum: Introduction and OverviewPeter R. Turner, Clarkson University, USA
2:25-2:45 Mathematical Modeling in the Early GradesRachel Levy, Harvey Mudd College, USA
2:50-3:10 Applied and Computational Mathematics at the High School LevelKatherine Socha, The Park School of
Baltimore, USA; Kathleen Fowler, Clarkson University, USA
3:15-3:35 Modeling Across the Undergraduate CurriculumJeffrey Humpherys, Brigham Young
University, USA
2015 SIAM Conference on Computational Science and Engineering 171
Wednesday, March 18
MS284Parallel, Multiscale, Multiphysics Simulation Using MOOSE - Part II of II2:00 PM-3:40 PMRoom:250 C
For Part 1 see MS259 The Idaho National Laboratory (INL)-developed Multiphysics Object Oriented Simulation Environment (MOOSE; www.mooseframework.org), is an open-source, parallel computational platform that enables the solution of complex, fully-implicit multiphysics systems. MOOSE provides a set of computational tools that scientists and engineers can use to create sophisticated multiphysics simulations. Applications built using MOOSE have computed solutions for chemical reaction and transport equations, computational fluid dynamics, solid mechanics, heat conduction, mesoscale materials modeling, geomechanics, and others. This minisymposium highlights some of the recent results obtained using the MOOSE platform.
Organizer: Derek R. GastonIdaho National Laboratory, USA
Organizer: Andrew SlaughterIdaho National Laboratory, USA
2:00-2:20 Modeling Nuclear Fuel Behavior with BISONShane Stafford, Idaho National Laboratory,
USA
2:25-2:45 Low Mach and Two-Phase Flow Modeling with Moose ApplicationsJean C. Ragusa and Marco Delchini, Texas
A&M University, USA; Ray A. Berry, Idaho National Laboratory, USA
2:50-3:10 Multiphase Sub-Surface Flow Using MooseJonathan Ennis-King, CSIRO, Australia
3:15-3:35 Stabilization Methods for High Peclet Number Flows in Heterogeneous Porous MediaYidong Xia, Hai Huang, and Robert
Podgorney, Idaho National Laboratory, USA
2:50-3:10 Automatic Tuning for Parallel FFTs on GPU ClustersDaisuke Takahashi, University of Tsukuba,
Japan
3:15-3:35 Statistical Performance Modeling and Autotuning for Dense QR Factorization in Hybrid CPU-GPU SystemsRay-Bing Chen, National Cheng Kung
University, Taiwan; Yaohung Tsai and Weichung Wang, National Taiwan University, Taiwan
Wednesday, March 18
MS283Streamlining Application Performance Portability - Part II of II2:00 PM-3:40 PMRoom:250 B
For Part 1 see MS258 Achieving sustainable performance among different computer architectures often cannot be addressed with ingenuous combinations of compiler optimization options and manual rewriting. In contrast, auto-tuning (AT) technologies based, for example, on static modifications (typically pragmas), run-time optimizations, and source to source transformations have enabled sustained performance on a variety of computer architectures. As we move towards more complex computer architectures and higher levels of concurrency, AT is expected to play a major role in giving applications a gateway to performance portability. Of particular interest is the use of AT in the context of kernels that are the core of most large applications, including linear solvers, eigensolvers and stencil computations. In this minisymposium we will discuss AT frameworks and technologies, show examples of how they have been used in practice, and the corresponding performance gains.
Organizer: Toshiyuki ImamuraRIKEN, Japan
Organizer: Takahiro KatagiriUniversity of Tokyo, Japan
Organizer: Osni A. MarquesLawrence Berkeley National Laboratory, USA
2:00-2:20 Numerical Eigenvalue Engine towards Extreme-scale Computing EraToshiyuki Imamura, Takeshi Fukaya, and
Yusuke Hirota, RIKEN, Japan; Susumu Yamada and Masahiko Machida, Japan Atomic Energy Agency, Japan
2:25-2:45 Code Generation for Higher Level Spectral Methods with SpiralFranz Franchetti, Carnegie Mellon
University, USA
continued in next column
172 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
MS287Topology Mapping and Locality - Part II of II2:00 PM-3:40 PMRoom:250 F
For Part 1 see MS262 This two part minisymposium focuses on topology mapping to improve locality and computational performance, an important issue that will become crucial as system size continues to increase. Specifically we look at the assignment of tasks to allocated processors for an application. In this second part, speakers will present algorithms for graph models and dragonfly networks. In the first part, speakers will present results for algorithms to improve geometric task mapping, locality for sparse unstructured communication patterns, application performance using dynamic monitoring, and data management.
Organizer: Vitus LeungSandia National Laboratories, USA
Organizer: Torsten HoeflerUniversity of Illinois, USA
2:00-2:20 Process Mapping onto Complex Architectures and Partitions ThereofFrancois Pellegrini, University of Bordeaux,
France
2:25-2:45 Topology Aware Mapping using Graph Models for Exascale SystemsMehmet Deveci, The Ohio State University,
USA; Kamer Kaya, CERFACS, France; Umit V. Catalyurek, The Ohio State University, USA
2:50-3:10 Maximizing Throughput on a Dragonfly NetworkAbhinav Bhatele, Lawrence Livermore
National Laboratory, USA; Nikhil Jain, University of Illinois, USA; Xiang Ni and Laxmikant V Kale, University of Illinois at Urbana-Champaign, USA
Wednesday, March 18
MS286Parallel Methods for Time Integration - Part II of II2:00 PM-3:40 PMRoom:250 E
For Part 1 see MS261 Current trends in supercomputing are leading towards systems with more, but not faster, processors. Therefore, faster compute speeds must come from greater parallelism and this leads to a bottleneck for sequential time integration. Given this situation, interest in achieving parallelism in time has substantially increased in the past decade. A goal of this minisymposium is to survey the breadth of this emerging field and to detail recent advances. Eight talks are featured which bring together experts on four of the most popular current approaches: parareal, spectral deferred correction, multigrid reduction in time and the asymptotic parallel-in-time approach.
Organizer: Jacob B. SchroderLawrence Livermore National Laboratory, USA
Organizer: Ronald HaynesMemorial University, Newfoundland, Canada
Organizer: Scott MaclachlanTufts University, USA
2:00-2:20 Towards a Multigrid Perspective of MLSDCDieter Moser and Robert Speck, Jülich
Supercomputing Centre, Germany; Matthias Bolten, University of Wuppertal, Germany
2:25-2:45 An Adaptive Spectral Deferred Time Integrator for Vesicle SuspensionsBryan D. Quaife and George Biros,
University of Texas at Austin, USA
2:50-3:10 Interweaving PFASST and Parallel MultigridMatthias Bolten, University of Wuppertal,
Germany; Michael Minion, Lawrence Berkeley National Laboratory, USA; Robert Speck, Jülich Supercomputing Centre, Germany; Matthew Emmett, Lawrence Berkeley National Laboratory, USA; Daniel Ruprecht, Universita’ della Svizzera Italiana, Italy
3:15-3:35 Parallel in Time Multigrid for Nonlinear EquationsBen O’Neill, University of Colorado
Boulder, USA
Wednesday, March 18
MS285Recent Advances in Model Reduction - Part V of V2:00 PM-3:40 PMRoom:250 D
For Part 4 see MS260 Model reduction has become an increasingly important tool to mitigate the computational burden of modeling and simulation in time-critical (e.g., model-predictive control) and many query (e.g., Bayesian inversion) applications. This minisymposium presents recent advances that address the primary challenges facing such methods, such as preserving intrinsic problem structure, handling high- dimensional parameter spaces, integration with existing simulation codes, stability, optimization and uncertainty quantification and control.
Organizer: Kevin T. CarlbergSandia National Laboratories, USA
Organizer: Gianluigi RozzaSISSA, International School for Advanced Studies, Trieste, Italy
2:00-2:20 Reassessing the Missing Point Estimation Model Order Reduction MethodJulien Cortial, Safran, Research &
Technology Center, France; Kevin T. Carlberg, Sandia National Laboratories, USA
2:25-2:45 Parsimonious Data Acquisition for Data-driven Model ReductionGeoffrey M. Oxberry, Lawrence Livermore
National Laboratory, USA
2:50-3:10 An Adaptive Parametrized-Background Data-Weak Approach to State Estimation; Application to Heat Transfer Companion ExperimentsTommaso Taddei, Masayuki Yano,
James Penn, and Anthony T. Patera, Massachusetts Institute of Technology, USA
3:15-3:35 Reduced Basis Methods for Variational InequalitiesSilke Glas, University of Ulm, Germany
2015 SIAM Conference on Computational Science and Engineering 173
3:15-3:35 High-Dimensional Hierarchical Uncertainty Quantification for Electronic SystemsZheng Zhang, Massachusetts Institute of
Technology, USA; Xiu Yang, Pacific Northwest National Laboratory, USA; George E. Karniadakis, Brown University, USA; Ivan Oseledets, Skolkovo Institute of Science and Technology, Russia; Luca Daniel, Massachusetts Institute of Technology, USA
Wednesday, March 18
MS289Numerical Methods for High-Dimensional Stochastic and Parametric Problems - Part V of V2:00 PM-3:40 PMRoom:251 B
For Part 4 see MS264 Development of scalable numerical methods for the solution of problems with high-dimensional stochastic or parametric inputs has been a subject of active research in computational sciences and engineering. This is motivated by the need to reduce the issue of curse-of-dimensionality, i.e., exponential increase of computational complexity, in predictive simulation of physical systems where accurate specification of governing laws entails a large number of parameters or stochastic variables. To this end, several novel approaches based on multi-level, reduced order, sparse, and low-rank approximations have been recently developed. This minisymposium presents state-of- the-art in such developments for various aspects of high-dimensional computation, including analysis, algorithms, implementation, and applications.
Organizer: Alireza DoostanUniversity of Colorado Boulder, USA
Organizer: Dongbin XiuUniversity of Utah, USA
2:00-2:20 Gaussian Processes in High-DimensionsIlias Bilionis, Purdue University, USA;
Nicholas Zabaras, Cornell University, USA
2:25-2:45 Adaptive Multivariate Interpolation Algorithm on Nested Grids and Its Application to Stochastic CollocationXueyu Zhu, Yeonjong Shin, and Dongbin
Xiu, University of Utah, USA
2:50-3:10 Numerical Solution for the High-Dimensional Joint Response-Excitation Pdf Evolution EquationsHeyrim Cho, Daniele Venturi, and George E.
Karniadakis, Brown University, USA
Wednesday, March 18
MS288Hydrodynamics at Small Scales - Part II of II2:00 PM-3:40 PMRoom:251 A
For Part 1 see MS263 With the increased interest in nano- and micro-fluidics, as well as biological systems, it has become necessary to develop tools for hydrodynamic calculations at microscopic and mesoscopic scales. This minisymposium will focus on advances in multiscale numerical methods for simulating flows at mesoscopic scales. Of particular interest will be fluctuating hydrodynamics of complex fluids such as reactive mixtures, colloidal passive and active suspensions, and multi-phase fluids. Issues to be discussed will include the inclusion of thermal fluctuations in analytical and computational models, as well as applications in the physical sciences, biology, and engineering.
Organizer: Aleksandar DonevCourant Institute of Mathematical Sciences, New York University, USA
2:00-2:20 Colloidal Dispersions Sheared at Constant PressureJohn F. Brady, California Institute of
Technology, USA
2:25-2:45 Fluctuating Hydrodynamics Methods for Soft MaterialsPaul J. Atzberger, University of California,
Santa Barbara, USA
2:50-3:10 An Immersed Boundary Method for Rigid BodiesBakytzhan Kallemov and Aleksandar
Donev, Courant Institute of Mathematical Sciences, New York University, USA; Boyce Griffith, University of North Carolina at Chapel Hill, USA; Amneet Bhalla, Courant Institute of Mathematical Sciences, New York University, USA
3:15-3:35 A Fluctuating Immersed Boundary Method for Brownian Suspensions of Rigid ParticlesAleksandar Donev and Bakytzhan Kallemov,
Courant Institute of Mathematical Sciences, New York University, USA; Boyce Griffith, University of North Carolina at Chapel Hill, USA; Steven D. Delong, Courant Institute of Mathematical Sciences, New York University, USA
continued in next column
174 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
MS292Inverse Problems and Data Assimilation - Part VI of VI2:00 PM-3:40 PMRoom:251 E
For Part 5 see MS267 The aim of this minisymposium is to document recent mathematical developments in the field of inverse problems and data assimilation based on theoretical and numerical grounds that are relevant for various scientific and real life applications. Topics for the minisymposium include but are not limited to: 1) deterministic and statistical approaches to inversion problems and data assimilation;
2) reduced order modeling inversion framework;
3) treatment of nonlinear and non-smooth processes;
4) sensitivity analysis and its application to adaptive (targeting) observation;
5) operational data assimilation systems;
6) uncertainties impact studies;
7) automatic tools to support inversion and data assimilation methodologies.
Organizer: Razvan StefanescuVirginia Tech, USA
Organizer: Adrian SanduVirginia Tech, USA
Organizer: Ionel M. NavonFlorida State University, USA
Organizer: Dacian N. DaescuPortland State University, USA
2:00-2:20 Challenges in Assimilation of PM2.5 Observations for Air Pollution ForecastJiang JZhu, Chinese Academy of Sciences,
China
2:25-2:45 Inversion of Geothermal Heat Flux in a Thermomechanically Coupled Nonlinear Stokes Ice Sheet ModelHongyu Zhu, University of Texas at Austin,
USA; Georg Stadler, Courant Institute of Mathematical Sciences, New York University, USA; Noemi Petra, University of California, Merced, USA; Toby Isaac, Omar Ghattas, and Thomas Hughes, University of Texas at Austin, USA
Wednesday, March 18
MS291Randomized Algorithms in Numerical Linear Algebra - Part II of II2:00 PM-3:40 PMRoom:251 D
For Part 1 see MS266 Recent work on developing randomized matrix algorithms has led to the high-quality numerical implementations that can outperform deterministic methods while still providing very accurate results. This minisymposium will present randomized algorithms and software that enhance numerical linear algebra computations. The speakers will describe how randomized algorithms can accelerate general or structured matrix computations. The applications will include the computation of low-rank approximations, preconditioning for stochastic gradient algorithms, principal component analysis, random butterfly transformations in sparse linear systems, randomized HSS compressions and fast generation of random matrices.
Organizer: Marc BaboulinINRIA/University of Paris-Sud, France
Organizer: Jack J. DongarraUniversity of Tennessee, Knoxville, USA
Organizer: Xiaoye Sherry LiLawrence Berkeley National Laboratory, USA
2:00-2:20 Preconditioning Stochastic Gradient Algorithms with Randomized Linear AlgebraMichael Mahoney, University of California,
Berkeley, USA
2:25-2:45 Randomized Methods for Accelerating Structured Matrix ComputationsGunnar Martinsson, University of Colorado
Boulder, USA
2:50-3:10 Using Random Butterfly Transformations to Avoid Pivoting in Sparse Direct MethodsFrancois-Henry Rouet and Xiaoye Sherry Li,
Lawrence Berkeley National Laboratory, USA; Marc Baboulin, INRIA/University of Paris-Sud, France
3:15-3:35 Performance of Computing Low-Rank Approximation on Hybrid CPU/GPU ArchitecturesIchitaro Yamazaki, University of Tennessee,
Knoxville, USA; Theo Mary, Universite de Toulouse, France; Jakub Kurzak, Stanimire Tomov, and Jack J. Dongarra, University of Tennessee, Knoxville, USA
Wednesday, March 18
MS290A New Class of Finite Element Methods: Weak Galerkin Methods - Part II of II2:00 PM-3:40 PMRoom:251 C
For Part 1 see MS265 A new class of finite element methods, called weak Galerkin (WG) methods, were recently introduced by Wang and Ye for some model PDEs with appropriately defined variational formulations. The WGFEMs, by design, make use of discontinuous piecewise polynomials on finite element partitions with arbitrary shape of polygons and polyhedrons. The WGFEMs have the flexibility in handling complex geometry and low regularity solutions, the simplicity in analyzing real-world physical problems and the symmetry in reformulating the original PDEs. The minisymposium aims to bring together researchers to exchange ideas on development of WGFEMs and its applications. The minisymposium pays a particular attention to attract female participants, graduate students, postdocs and junior faculty members.
Organizer: James LiuColorado State University, USA
2:00-2:20 Multiscale Weak Galerkin MethodsYalchin Efendiev, Texas A&M University,
USA
2:25-2:45 Overview of Weak Galerkin MethodsJunping Wang, National Science Foundation,
USA
2:50-3:10 BDDC Domain Decomposition for Weak Galerkin MethodsXuemin Tu, University of Kansas, USA
3:15-3:35 Title Not Available at Time of PublicationYanqiu Wang, Oklahoma State University,
USA
continued on next page
2015 SIAM Conference on Computational Science and Engineering 175
Wednesday, March 18
MS294Flooding the Cores - Computing Flooding Events with Many-Core and Accelerator Technologies - Part II of II2:00 PM-3:40 PMRoom:254 B
For Part 1 see MS270 Detailed simulation of flooding events, such as in storm surges, tsunamis or rain floods, requires substantial computing power and literally floods the computer with job tasks. Relevant supercomputing technology, on the other hand, is characterized by an increasing amount of parallelism on all scales. Hence, numerical methods, algorithms and software need to be tuned for data parallelism, many-core compute nodes (including accelerator technology) and large-scale parallelism. This minisymposium thus focuses on approaches to reduce time to solution for simulating complex flooding events on supercomputers and architectures characterized by many-core and accelerator technologies, in particular GPUs and Xeon Phis.
Organizer: Kyle T. MandliColumbia University, USA
Organizer: Michael BaderTU München, Germany
Organizer: Tobias WeinzierlDurham University, United Kingdom
2:00-2:20 FEM Integration with Quadrature on the GPUMatthew Knepley, University of Chicago,
USA; Karl Rupp and Karl Rupp, Vienna University of Technology, Austria; Andy R. Terrel, Continuum Analytics, USA
2:25-2:45 Flooding with Equelle: A Domain Specific Language for Finite Volume MethodsAndre R. Brodtkorb, SINTEF, Norway
2:50-3:10 High Performance High Order Numerical Method for Tsunami Wave PropagationRajesh Gandham, Timothy Warburton, and
David Medina, Rice University, USA
3:15-3:35 Thermal Comfort Simulations on Massive Parallel SystemsRalf-Peter Mundani and Jérôme Frisch,
Technische Universität München, Germany
Wednesday, March 18
MS293Mathematical and Physical Properties of Numerical Schemes for Complex Dynamical Systems - Part II of II2:00 PM-3:40 PMRoom:251 F
For Part 1 see MS268 Stability and convergence are fundamental issues in the study of numerical algorithms. Another important aspect is their capability of mimicking certain physical properties of the target continuous system, such as energy conversion, or tracer transport. In this minisymposium, researchers from different areas in applied and computational mathematics are invited to present their latest results in studies of numerical schemes for complex dynamical system. Finite difference and finite volume schemes are of primary interests here, but finite element methods may also be included. Application areas include but are not limited to aeroelasticity, classical fluid dynamics, and geophysical fluid dynamics.
Organizer: Qingshan ChenClemson University, USA
Organizer: Gung-Min GieUniversity of Louisville, USA
2:00-2:20 The Effective Resolution of Advection SchemesJames Kent, University of Michigan, USA;
Jared P. Whitehead, Brigham Young University, USA; Christiane Jablonowski and Richard Rood, University of Michigan, USA
2:25-2:45 A New Adaptive Weighted Essentially Non-oscillatory WENO-Θ Scheme for Hypberbolic Conservation LawsChang-Yeol Jung and Thien Binh Nguyen,
Ulsan National Institute of Science and Technology, South Korea
2:50-3:10 Stability and Convergence of the Co-volume Scheme for the Stokes ProblemQingshan Chen, Clemson University, USA
3:15-3:35 Semi-Analytical Time Differencing Methods for Stiff ProblemsChang-Yeol Jung and Thien Binh Nguyen,
Ulsan National Institute of Science and Technology, South Korea
2:50-3:10 Automated Adjoints for Mesh-Independent PDE-Constrained OptimisationPatrick E. Farrell, University of Oxford,
United Kingdom
3:15-3:35 A Pod Model for Resolving the Angular Dimension of the Boltzmann Transport EquationAndrew G. Buchan, Atyab Calloo,
Christopher Pain, Fangxin Fang, and Steven Dargaville, Imperial College London, United Kingdom; Ionel M. Navon, Florida State University, USA
176 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
MS297Algorithms for the Eigenvalue Problem in Electronic Structure Computations - Part II of II2:00 PM-3:40 PMRoom:150 DE
For Part 1 see MS273 The electronic structure of complex quantum mechanical systems is determined by the solution of a large number of one-dimensional non-linearly coupled Schrodinger equations. Upon discretization this set of equations translates into Hermitian symmetric eigenvalue problems. Due to the many existing discretization schemes eigenproblems come in many flavours and their solution requires a multidisciplinary approach. This minisymposium addresses the eigenproblems heterogeneity in connection with the rich variety of algorithms and implementations which are used to solve them. The ultimate goal is to make computational physicists and computer scientists aware of the current status of research and scientific advancement.
Organizer: Edoardo A. Di NapoliJülich Supercomputing Centre, Germany
Organizer: Eric PolizziUniversity of Massachusetts, Amherst, USA
Organizer: Yousef SaadUniversity of Minnesota, USA
2:00-2:20 Accelerating Quantum Transport Calculations Through the Feast AlgorithmSascha Brueck, Mauro Calderara, Hossein
Bani-Hashemian, Joost VandeVondele, and Mathieu Luisier, ETH Zürich, Switzerland
2:25-2:45 Parallel Solution of Eigenvalue Problems from Graphene Modeling with Solvers Based on Integration and ApproximationBruno Lang, Lukas Krämer, and Martin
Galgon, University of Wuppertal, Germany
2:50-3:10 Polynomial Techniques and Primme for the Computation of Large Number of EigenvaluesAndreas Stathopoulos, College of William &
Mary, USA
3:15-3:35 Linear Response Eigenvalue Problem and Excited State CalculationsZhaojun Bai, University of California, Davis,
USA; Ren-Cang Li, University of Texas at Arlington, USA
Wednesday, March 18
MS296Recent Advances in High Order Finite Element Methods for Atmospheric Sciences - Part II of II2:00 PM-3:40 PMRoom:150 AB
For Part 1 see MS272 Global and regional models are heavily used for weather forecasting, policy decisions and as compact laboratories for improving our scientific understanding of the Earth system. The next generation of numerical methods will soon be used for answering pressing questions on global/regional scale interactions, extreme events, and regional scale climate change. This minisymposium focuses on the latest advanced developments in high(er) order finite element methods including Discontinuous Galerkin,and high order finite volume methods. The speakers will address theoretical and computational issues such as stability, optimal order convergence, sparse discretization, parallel implementation, (hp)-adaptivity, large-scale problems and efficient implementations.
Organizer: Paul UllrichUniversity of California, Davis, USA
Organizer: Tan Bui-ThanhUniversity of Texas at Austin, USA
2:00-2:20 An HDG Method for Non-Hydrostatic AtmosphereTan Bui-Thanh, University of Texas at
Austin, USA
2:25-2:45 A Higher-Order Finite Volume Nonhydrostatic Dynamical Core with Space-Time RefinementHans Johansen, Lawrence Berkeley National
Laboratory, USA
2:50-3:10 Towards a Fully 3D Compressible Atmosphere Dynamical Core with Compatible Finite ElementsColin J. Cotter, Imperial College London,
United Kingdom
3:15-3:35 Optimization-based Spectral Element Semi-Lagrangian Tracer TransportKara Peterson and Mark A. Taylor, Sandia
National Laboratories, USA
Wednesday, March 18
MS295Advances in Computational Methods for MHD and Multi-Fluid Models of Plasma - Part II of II2:00 PM-3:40 PMRoom:254 C
For Part 1 see MS271 Plasmas are ionized gases that appear in a wide range of applications including astrophysics and space physics, as well as in laboratory settings such as in magnetically confined fusion. Modeling and understanding the basic phenomenon in plasma have long been topics in applied mathematics, yet many problems remain far too numerically intensive for modern parallel computers. The main difficulty is that plasmas span a wide range of spatial and temporal scales, requiring a wide array of computational mathematics tools. This minisymposium aims to describe recent advances in the development of numerical methods and computational frameworks for the numerical solution of the magnetohydrodynamics (MHD) equations and other multi-fluid plasma physics models.
Organizer: James A. RossmanithIowa State University, USA
Organizer: Lucian IvanUniversity of Waterloo, Canada
Organizer: Qi TangMichigan State University, USA
2:00-2:20 A High-order Block-adaptive Simulation Framework for Ideal and Resistive MHD Equations on Cubed-sphere GridsLucian Ivan, Hans De Sterck, and Andree
Susanto, University of Waterloo, Canada; Clinton P. Groth, University of Toronto, Canada
2:25-2:45 Scalable Solvers for Extended MHD in the Low-β RegimeLuis Chacon, Los Alamos National
Laboratory, USA
2:50-3:10 Block Preconditioners for 3D Incompressible MHDEric C. Cyr, Edward Phillips, and John
Shadid, Sandia National Laboratories, USA
3:15-3:35 Multi-Fluid Magnetohydrodynamic Models for Partially-Ionized Non-Equilibrium Anisotropic PlasmasClinton P. Groth and Ken Miura, University
of Toronto, Canada
2015 SIAM Conference on Computational Science and Engineering 177
Wednesday, March 18
MS300Advances in Compressed Sensing and Structured Sparse Representations - Part II of II2:00 PM-3:40 PMRoom:260 A
For Part 1 see MS276 The goal of this minisymposium is to present recent progress on models and algorithms for compressed sensing that go beyond the traditional sparsity setting. It has long been acknowledged that many practical applications of compressed sensing - ranging from medical sciences to optical imaging and wireless communications - possess substantially more structure than sparsity alone. Leveraging such structure presents significant challenges in both the construction of measurements (e.g. using tools from communications and optimization) and the design of new, often probabilistic, algorithms. This minisymposium will bring together leading experts in the field to latest research into these vital questions.
Organizer: Ben AdcockSimon Fraser University, Canada
Organizer: Anders HansenUniversity of Cambridge, United Kingdom
2:00-2:20 Title Not Available at Time of PublicationRichard G. Baraniuk, Rice University, USA
2:25-2:45 Representation Using the Weyl TransformRobert Calderbank, Duke University, USA
2:50-3:10 Fast and Robust Dictionary Learning, with Invariances and MultiresolutionMauro Maggioni and Samuel Gerber, Duke
University, USA
3:15-3:35 Compressive Parameter Estimation via Approximate Message PassingShermin Hamzehei and Marco F. Duarte,
University of Massachusetts, USA
Wednesday, March 18
MS299Cyberlearning Technology and Deep Learning Assessment in CSE Education2:00 PM-3:40 PMRoom:259
Computational science and engineering education is being transformed through a range of educational innovations. This minisymposium will comprise reports on some novel ideas to advance undergraduate CSE education through cyberlearning technology, deep learning assessment and innovative undergraduate research summer workshops.
Organizer: Hong LiuEmbry-Riddle Aeronautical University, USA
Organizer: Michael SpectorUniversity of North Texas, USA
2:00-2:20 Tri-Located Course in Mathematical Modeling and Complementary Reu Summer WorkshopHong Liu and Andrei Ludu, Embry-Riddle
Aeronautical University, USA
2:25-2:45 Deep Learning Assessment for Near Real-time, Formative Feedback during Complex Problem-solving ActivitiesMichael Spector, University of North Texas,
USA
2:50-3:10 Towards Automating Analysis of Midterm Semester Feedback Surveys for Improving Course EffectivenessDouglas Holton, Embry-Riddle Aeronautical
University, USA
3:15-3:35 Facilitating Learners’ Cognitive Presence In A Self-Directed Online CourseYe Chen and Jing Lei, Syracuse University,
USA
Wednesday, March 18
MS298Models and Algorithms for Engineering Optimization Under Uncertainty - Part II of II2:00 PM-3:40 PMRoom:258
For Part 1 see MS274 Engineering optimization problems are often constrained by large-scale simulations of physical systems. In many applications, the parameters and inputs characterizing the physical system are unknown or estimated from data. When solving such optimization problems, it is not only important to accurately characterize the uncertainty and incorporate it in the optimization formulation, but to also determine optimal solutions that are robust or risk-averse to this uncertainty. This minisymposium presents novel risk models and efficient algorithms for the treatment of uncertainty in engineering optimization problems.
Organizer: Bart G. Van Bloemen WaandersSandia National Laboratories, USA
Organizer: Drew P. KouriSandia National Laboratories, USA
2:00-2:20 On Risk-averse PDE-constrained Optimization using Convex Risk Measures Inspired by Conditional Value-at-riskThomas M. Surowiec, Humboldt University
at Berlin, Germany
2:25-2:45 Maximizing AUC and Buffered AUC in ClassificationStan Uryasev, University of Florida, USA
2:50-3:10 Optimization under Uncertainty: Application to Electrical CircuitsTimur Takhtaganov, Rice University, USA
3:15-3:35 Optimal Control Problems With Uncertain Model ParametersXiaodi Deng, Rice University, USA
178 2015 SIAM Conference on Computational Science and Engineering
Wednesday, March 18
MS303Advances in Time-Domain Boundary Integral Equations - Part II of II2:00 PM-3:40 PMRoom:151 DE
For Part 1 see MS278 In recent years there has been an increasing interest in understanding and enhancing the simulation of linear evolution equations (transient waves, Stokes flow, and diffusion) using boundary integral equation (BIE) methods. This minisymposium brings together researchers in the field of time-domain BIE to enhance relationships and to discuss current progress and future trends in theory, computation and advanced applications. A very wide range of topics are covered such as fast methods, stable time-stepping strategies (marching-on-in-time and convolution quadrature), well- posedness, and new applications in electromagnetism, acoustics, elastodynamics, and heat diffusion.
Organizer: Nicolas SallesUniversity College London, United Kingdom
Organizer: Francisco J. J. SayasUniversity of Delaware, USA
2:00-2:20 Time-Domain Simulation of Two Dimensional Elastic ScatteringVictor Dominguez, Universidad Pública de
Navarra, Spain; Tonatiuh Sanchez-Vizuet and Francisco J. J. Sayas, University of Delaware, USA
2:25-2:45 Variable Order Fast Multipole Method for an Elastodynamic BEMThomas Traub and Martin Schanz, Graz
University of Technology, Austria
2:50-3:10 Recent Advances in the Convolution Quadrature and Temporal Galerkin Approaches to Transient ElectromagneticsDaniel Weile, University of Delaware, USA;
Balasubramaniam Shanker, Michigan State University, USA
3:15-3:35 Accuracy of the Marching-on-in-Time Scheme for Td-Bie MethodsElwin Van ‘t Wout, University College
London, United Kingdom
Wednesday, March 18
MS302PDE-constrained Optimization using the Open-source Code SU22:00 PM-3:40 PMRoom:151 AB
Most established codes for PDE-constrained optimization are proprietary, unavailable, or prohibitively expensive for many users. The SU2 code is freely available as open-source and features a complete computational analysis framework for multidisciplinary design in applications such as, but not limited to, aerospace technology. This minisymposium will cover up-to-date topics within the SU2 framework related to its continuous and discrete adjoint capabilities, the application to large-scale aerodynamic design, and the utilization of many-core architectures. Each of the topics covered involve the combination of multiple research areas of interest to the CS&E community.
Organizer: Nicolas R. GaugerTechnische Universität Kaiserslautern, Germany
Organizer: Juan J. AlonsoStanford University, USA
2:00-2:20 Large Scale Design Using Su2 and a Continuous Adjoint Rans ApproachFrancisco Palacios, Stanford University,
USA
2:25-2:45 A Consistent and Robust Discrete Adjoint Solver for the SU2 FrameworkTim Albring and Nicolas R. Gauger,
Technische Universität Kaiserslautern, Germany
2:50-3:10 A Discrete Adjoint Framework for Lift-Constrained Noise Minimization Using SU2Beckett Zhou and Nicolas R. Gauger,
Technische Universität Kaiserslautern, Germany; Thomas Economon, Francisco Palacios, and Juan J. Alonso, Stanford University, USA
3:15-3:35 High-Performance Optimizations of the Unstructured Open-Source SU2 SuiteThomas Economon, Francisco Palacios,
and Juan J. Alonso, Stanford University, USA; Gaurav Bansal, Anand Deshpande, Alexander Heinecke, Dheevatsa Mudigere, and Mikhail Smelyanskiy, Intel Corporation, USA
Wednesday, March 18
MS301Computational Techniques for Wave Equations in Second Order Form - Part II of II2:00 PM-3:40 PMRoom:260 B
For Part 1 see MS277 Many wave systems are most naturally written in second order form. First order reformulations, though possible, typically require additional constraints and more variables. Despite this fact, the theory of efficient time-domain discretization schemes is better developed in the first order case. Speakers in this minisymposium will discuss the generalization of concepts such as upwinding which are familiar for first order systems, as well as more traditional methods which leverage special features of second order formulations. In addition, special techniques for treating high frequency waves and random media as well as applications to complex physical phenomena will be considered.
Organizer: Thomas M. HagstromSouthern Methodist University, USA
Organizer: Daniel AppeloUniversity of New Mexico, USA
2:00-2:20 Upwind DG for Acoustic and Elastic Wave EquationsDaniel Appelo, University of New Mexico,
USA; Thomas M. Hagstrom, Southern Methodist University, USA
2:25-2:45 A Discontinuous Galerkin Method for the Spherically Reduced Einstein Field Equations with Second-Order OperatorsScott Field, Cornell University, USA; Jan
Hesthaven, EPFL, France; Stephen Lau, University of New Mexico, USA; Abdul Mroue, Canadian Institute for Theoretical Astrophysics, Canada
2:50-3:10 High-Order Upwind Methods for Second-Order Wave Equations on Curvilinear and Overlapping GridsJeffrey W. Banks, Rensselaer Polytechnic
Institute, USA
3:15-3:35 Uncertainty Quantification for High Frequency WavesOlof Runborg, KTH Stockholm, Sweden
2015 SIAM Conference on Computational Science and Engineering 179
Wednesday, March 18
MS304Co-Design with Proxy Applications: Results and Experiences - Part II of II2:00 PM-3:40 PMRoom:151 G
For Part 1 see MS279 Effective use of computing environments for scientific and engineering applications is determined by a combination issues throughout the codesign space: hardware, runtime environment, programming models, languages and compilers, algorithm choice and implementation, and more. Our focus is on applications that are large and complex, applying multi-physics at multi-scale, often with source code distribution constraints. Application proxies enable a language for codesign, providing a collaborative tool for exploring large-scale high performance scientific computation. Presentations in this minisymposium will describe experiences using proxies to explore key issues in computational science, providing examples across the codesign spectrum.
Organizer: Richard BarrettSandia National Laboratories, USA
Organizer: Charles (Bert) H. StillLawrence Livermore National Laboratory, USA
2:00-2:20 Experiences in Development of a Contact MiniApplication Using KokkosGlen Hansen and Patrick Xavier, Sandia
National Laboratories, USA
2:25-2:45 Co-Designing Hierarchical Algorithms: Application to Vlasov-Maxwell Particle-in-Cell MethodsJoshua Payne, Luis Chacon, Guangye
Chen, Chris Newman, Dana Knoll, and Allen McPherson, Los Alamos National Laboratory, USA
2:50-3:10 Uintah/Wasatch: Addressing Multiphsyics Complexity in a High-Performance Computing EnvironmentTony Saad, Christopher Earl, Abhishek
Bagusetty, Matthew Might, and James C. Sutherland, University of Utah, USA
Conference Adjourns3:40 PM
180 2015 SIAM Conference on Computational Science and Engineering
Notes
2015 SIAM Conference on Computational Science and Engineering 181
Speaker Index
Italicized names are minisymposium organizers.
182 2015 SIAM Conference on Computational Science and Engineering
AAcar, Evrim, PD1, 12:15 Sat
Adams, Mark, MS175, 1:55 Mon
Adams, Mark, MS210, 3:30 Tue
Adams, Marvin L., MS45, 2:25 Sat
Adcock, Ben, MS276, 10:55 Wed
Adcock, Ben, MS300, 2:00 Wed
Adcroft, Alistair, MS157, 2:45 Mon
Aderogba, Adebayo A., PP2, 4:30 Sun
Adler, James H., MS85, 9:10 Sun
Adler, James H., MS85, 10:00 Sun
Adler, James H., MS110, 1:30 Sun
Adler, James H., MS137, 9:10 Mon
Afkhami, Shahriar, MS245, 5:15 Tue
Aghakhani, Hossein, MS165, 2:20 Mon
Agullo, Emmanuel, MS82, 9:10 Sun
Agullo, Emmanuel, MS107, 1:30 Sun
Agullo, Emmanuel, MS134, 9:10 Mon
Agullo, Emmanuel, MS145, 9:10 Mon
Agullo, Emmanuel, MS160, 1:30 Mon
Agullo, Emmanuel, MS171, 1:30 Mon
Ahmadia, Aron, PP6, 4:30 Sun
Ahmedov, Bahodir, PP4, 4:30 Sun
Ahrens, James, IP9, 8:15 Wed
Ajay, Aprant, MS94, 9:26 Sun
Albin, Nathan, MS3, 10:15 Sat
Albright, Jason, MS10, 10:15 Sat
Albring, Tim, MS302, 2:25 Wed
Alexanderian, Alen, MS274, 11:45 Wed
Alexeev, Alexander, MS42, 3:40 Sat
Aljuhani, Shaimaa M., PP14, 4:30 Mon
Alkahtani, Badr, PP1, 4:30 Sun
Alla, Alessandro, MS174, 2:45 Mon
Allaire, Doug, MS274, 12:10 Wed
Alldredge, Graham, PP105, 4:30 Sun
Alldredge, Graham, MS147, 9:35 Mon
Allen, Jeffery M., MS110, 1:55 Sun
Allmaras, Steven R., MS98, 9:35 Sun
Almgren, Ann S., MS201, 11:15 Tue
Alolyan, Ibraheem, PP3, 4:30 Sun
Alonso, Juan J., MS302, 2:00 Wed
Aluie, Hussein, CP24, 10:10 Wed
Amaral, Sergio, PP13, 4:30 Mon
Amaya, Joseph, MS216, 2:15 Tue
Aminfar, Amirhossein, MS203, 10:50 Tue
Amir, Lubna, PP102, 4:30 Sun
Amsallem, David, MS4, 10:15 Sat
Amsallem, David, MS30, 2:25 Sat
Amsallem, David, MS55, 4:35 Sat
Amsallem, David, MS187, 11:15 Tue
Anderson, Jeffrey, MS243, 5:15 Tue
Andini Putri, Fauziah, MS146, 10:14 Mon
Andrews, Steven, MS90, 9:10 Sun
Anistratov, Dmitriy Y., MS223, 2:40 Tue
Anitescu, Mihai, MS195, 10:50 Tue
announced, To be, MS105, 10:50 Tue
Antil, Harbir, MS174, 1:55 Mon
Anzt, Hartwig, PP205, 4:30 Mon
Anzt, Hartwig, PP205, 4:30 Mon
Appelhans, David A., CP8, 10:10 Wed
Appelo, Daniel, MS36, 2:25 Sat
Appelo, Daniel, MS277, 10:55 Wed
Appelo, Daniel, MS301, 2:00 Wed
Appelo, Daniel, MS301, 2:00 Wed
Aquino, Wilkins, MS274, 11:20 Wed
Aravkin, Aleksandr, MS9, 10:15 Sat
Aravkin, Aleksandr, MS9, 11:30 Sat
Aravkin, Aleksandr, MS35, 2:25 Sat
Arbenz, Peter, MS160, 1:30 Mon
Archer, Cristina L., MS253, 4:50 Tue
Archibald, Richard, PP3, 4:30 Sun
Arnold, Douglas N., PP207, 4:30 Mon
Arrigo, Francesca, CP26, 9:10 Wed
Asante-Asamani, Emmanuel O., PP4, 4:30 Sun
Attia, Ahmed, MS218, 3:30 Tue
Atzberger, Paul J., PP104, 4:30 Sun
Atzberger, Paul J., MS242, 4:25 Tue
Atzberger, Paul J., MS288, 2:25 Wed
Audouze, Christophe, CP22, 9:40 Wed
Augustin, Florian, MS139, 10:25 Mon
Augustin, Florian, MS183, 10:00 Tue
Auphan, Thomas, MS66, 5:00 Sat
Austin, Anthony, PP204, 4:30 Mon
Austin, Brian, MS186, 10:50 Tue
Austin, Woody N., CP25, 10:10 Wed
Awanou, Gerard, PP207, 4:30 Mon
Azijli, Iliass, PP14, 4:30 Mon
BBabaee, Hessameddin, CP22, 9:25 Wed
Baboulin, Marc, MS266, 10:55 Wed
Baboulin, Marc, MS291, 2:00 Wed
Babtie, Ann C., MS132, 10:25 Mon
Bacuta, Constantin, MS37, 3:15 Sat
Bader, Michael, MS270, 10:55 Wed
Bader, Michael, MS294, 2:00 Wed
Badia, Rosa M., MS171, 1:30 Mon
Badia, Santiago, MS32, 2:25 Sat
Badr, Abdallah A., PP13, 4:30 Mon
Baer, Steven M., MS153, 9:10 Mon
Baer, Steven M., MS153, 9:10 Mon
Bahlla, Upinder, MS115, 2:20 Sun
Bai, Zhaojun, MS297, 3:15 Wed
Bakhos, Tania, MS31, 3:15 Sat
Balay, Satish, PP103, 4:30 Sun
Baldassarre, Luca, MS276, 11:20 Wed
Ballani, Jonas, MS56, 5:50 Sat
Ballard, Grey, CP8, 9:25 Wed
Ballarin, Francesco, MS236, 5:40 Tue
Banks, Jeffrey W., MS6, 10:15 Sat
Banks, Jeffrey W., MS32, 2:25 Sat
Banks, Jeffrey W., MS57, 4:35 Sat
Banks, Jeffrey W., MS301, 2:50 Wed
Bao, Feng, PP201, 4:30 Mon
Bao, Lei, MS272, 12:10 Wed
Barajas-Solano, David A., MS256, 12:10 Wed
Baraniuk, Richard G., MS2, 11:30 Sat
Baraniuk, Richard G., MS300, 2:00 Wed
Barba, Lorena A., MS27, 2:25 Sat
Barba, Lorena A., MS27, 2:25 Sat
Barba, Lorena A., MS78, 10:25 Sun
Barba, Lorena A., PD3, 12:15 Mon
Bardhan, Jaydeep, MS151, 9:35 Mon
Bardhan, Jaydeep, MS242, 5:15 Tue
Bardsley, Johnathan M., MS5, 10:15 Sat
Bardsley, Johnathan M., MS144, 9:10 Mon
Bardsley, Johnathan M., MS170, 1:30 Mon
Bardsley, Johnathan M., MS170, 1:30 Mon
Barker, Andrew T., MS186, 10:25 Tue
Barlow, Andrew J., MS156, 2:45 Mon
Barlow, Jesse L., MS63, 5:00 Sat
Barnett, Alex H., MS227, 2:15 Tue
2015 SIAM Conference on Computational Science and Engineering 183
Barra, Valeria, PP1, 4:30 Sun
Barrett, Richard, MS279, 10:55 Wed
Barrett, Richard, MS279, 12:10 Wed
Barrett, Richard, MS304, 2:00 Wed
Bartel, Andreas, MS162, 1:30 Mon
Bartlett, Roscoe, MS77, 5:00 Sat
Bartol, Thomas M., MS90, 10:00 Sun
Basting, Christopher, PP203, 4:30 Mon
Basting, Christopher, CP14, 9:40 Wed
Bauer, Andrew, MS77, 5:50 Sat
Bauer, Martin, MS124, 1:30 Sun
Bauer, Martin, MS124, 1:30 Sun
Bauman, Paul, MS139, 9:10 Mon
Bauman, Paul, MS139, 9:10 Mon
Bauman, Paul, MS165, 1:30 Mon
Bayona, Victor, MS24, 11:05 Sat
Beams, Natalie N., PP6, 4:30 Sun
Beattie, Christopher A., MS91, 9:10 Sun
Beattie, Christopher A., MS116, 1:30 Sun
Beattie, Christopher A., MS143, 9:10 Mon
Beattie, Christopher A., MS169, 1:30 Mon
Beck, Andrea D., MS67, 4:35 Sat
Beck, Andrea D., MS150, 10:00 Mon
Beck, James, MS132, 9:10 Mon
Beck, James, MS158, 1:30 Mon
Becker, Stephen, MS35, 2:50 Sat
Becker, Stephen, MS74, 4:35 Sat
Beckvermit, Jacqueline, PP206, 4:30 Mon
Bekas, Costas, MS118, 2:45 Sun
Belanger-Rioux, Rosalie, MS88, 10:00 Sun
Bell, John B., MS263, 11:20 Wed
Bencomo, Mario, MS88, 9:35 Sun
Bennett, Janine C., MS129, 9:35 Mon
Benson, Austin, CP4, 9:25 Wed
Benson, Thomas, CP2, 9:40 Wed
Benzi, Michele, MS108, 2:45 Sun
Berger, Marsha, MS130, 9:10 Mon
Berger, Marsha, MS157, 1:30 Mon
Berljafa, Mario, PP3, 4:30 Sun
Bernholdt, David E., MS112, 1:55 Sun
Bertozzi, Andrea L., MS29, 3:15 Sat
Bertozzi, Andrea L., PD0, 8:30 Sat
Bertrand, Fleurianne, MS110, 2:20 Sun
Berzins, Martin, MS93, 10:25 Sun
Berzins, Martin, MS129, 9:10 Mon
Betcke, Timo, MS151, 9:10 Mon
Betcke, Timo, MS151, 9:10 Mon
Betcke, Timo, MS177, 1:30 Mon
Betcke, Timo, MS203, 10:00 Tue
Betcke, Timo, MS227, 2:15 Tue
Bhaganagar, Kiran, MS253, 4:25 Tue
Bhaganagar, Kiran, MS253, 4:25 Tue
Bhatele, Abhinav, MS287, 2:50 Wed
Bhattacharya, Kaushik, MS14, 10:15 Sat
Bhowmick, Sanjukta, MS100, 9:10 Sun
Bhowmick, Sanjukta, MS125, 1:30 Sun
Bhowmick, Sanjukta, MS125, 2:45 Sun
Bian, Xin, PP104, 4:30 Sun
Bienstock, Daniel, MS100, 10:00 Sun
Biglari, Amir, CP17, 10:10 Wed
Bigoni, Daniele, PP5, 4:30 Sun
Bihari, Barna, MS97, 10:00 Sun
Bilionis, Ilias, MS289, 2:00 Wed
Bindel, David, MS60, 4:35 Sat
Bindel, David, MS60, 5:00 Sat
Birken, Philipp, MS6, 10:40 Sat
Birken, Philipp, MS57, 4:35 Sat
Biros, George, MS8, 10:15 Sat
Biros, George, MS34, 2:25 Sat
Biros, George, MS27, 2:50 Sat
Biros, George, MS59, 4:35 Sat
Biros, George, MS164, 2:45 Mon
Biros, George, MS214, 2:15 Tue
Biros, George, MS239, 4:25 Tue
Birrell, Jeremiah, PP6, 4:30 Sun
Bistrian, Diana, MS267, 12:10 Wed
Bittner, Kai, MS162, 1:55 Mon
Blackburn, Hugh, MS103, 10:00 Sun
Blackwell, Robert, MS122, 2:45 Sun
Blais, Marcel, MS222, 2:15 Tue
Blaylock, Myra, MS135, 10:00 Mon
Bliss, Nadya, MS100, 10:25 Sun
Blom, David, MS6, 11:30 Sat
Blonigan, Patrick, MS111, 2:20 Sun
Blum, Volker, MS184, 10:00 Tue
Bo, Wurigen, MS167, 4:25 Tue
Bochev, Pavel, PP203, 4:30 Mon
Bock, Nicolas, MS241, 5:40 Tue
Bodony, Daniel J., MS86, 9:10 Sun
Bodony, Daniel J., MS111, 1:30 Sun
Bodony, Daniel J., MS111, 1:30 Sun
Bokanowski, Olivier, MS15, 10:40 Sat
Bolten, Matthias, CP2, 9:10 Wed
Bolten, Matthias, MS286, 2:50 Wed
Boman, Erik G., MS141, 9:10 Mon
Boman, Erik G., CP7, 10:10 Wed
Borges, Carlos C., MS48, 3:40 Sat
Borggaard, Jeff, MS148, 10:25 Mon
Borggaard, Jeff, MS267, 10:55 Wed
Börm, Steffen, MS203, 10:00 Tue
Boscarino, Sebastiano, MS188, 10:50 Tue
Bosch, Jessica, MS83, 9:35 Sun
Bosilca, George, MS82, 9:35 Sun
Bosilca, George, MS145, 10:00 Mon
Bosse, Torsten F., MS69, 4:35 Sat
Bourrier, Anthony, MS276, 11:45 Wed
Boutsidis, Christos, MS266, 10:55 Wed
Boyd, John P., MS180, 1:30 Mon
Brady, John F., MS288, 2:00 Wed
Bramas, Berenger, MS177, 2:20 Mon
Brannick, James, MS254, 4:25 Tue
Brannick, James, MS254, 4:50 Tue
Braun, Richard, PD0, 6:30 Sat
Braun, Richard, PP4, 4:30 Sun
Brazell, Michael, MS176, 2:45 Mon
Breil, Jerome, MS167, 5:15 Tue
Brennan, Brian W., MS231, 2:40 Tue
Breuer, Alexander, CP8, 9:55 Wed
Briggs, Nathan C., PP7, 4:30 Sun
Brodtkorb, Andre R., MS294, 2:25 Wed
Brown, Elisabeth M., PP4, 4:30 Sun
Brown, Jed, MS175, 2:45 Mon
Brown, Jed, MS202, 10:00 Tue
Brown, Jed, MS226, 2:15 Tue
Brown, Peter, PP105, 4:30 Sun
Brueck, Sascha, MS297, 2:00 Wed
Brull, Stephane, MS95, 9:10 Sun
Brull, Stephane, CP12, 10:10 Wed
Brune, Christoph, MS239, 4:50 Tue
Bruno, Oscar P., MS18, 10:15 Sat
Bruno, Oscar P., MS154, 9:10 Mon
184 2015 SIAM Conference on Computational Science and Engineering
Cerioni, Alessandro, MS273, 12:10 Wed
Chabannes, Vincent, PP204, 4:30 Mon
Chacon, Luis, MS295, 2:25 Wed
Chakrabortty, Aranya, MS256, 11:45 Wed
Chakraborty, Pritam, MS259, 11:20 Wed
Challacombe, Matt, MS241, 4:50 Tue
Chand, Kyle, MS127, 2:45 Sun
Chandrasekaran, Sunita, MS235, 4:25 Tue
Chapman, Barbara, MS235, 4:25 Tue
Chatzi, Eleni, MS158, 1:30 Mon
Chaudhri, Anuj, MS263, 11:45 Wed
Chaudhry, Jehanzeb H., MS137, 10:25 Mon
Chaudhry, Jehanzeb H., MS261, 12:10 Wed
Chavarria, Daniel, MS235, 5:40 Tue
Chavez, Gustavo, MS73, 5:25 Sat
Chelikowsky, James R., MS273, 10:55 Wed
Chen, Guangye, MS199, 10:25 Tue
Chen, Jie, MS241, 4:25 Tue
Chen, Jie, MS241, 4:25 Tue
Chen, Long-qing, MS40, 3:40 Sat
Chen, Peng, MS34, 3:40 Sat
Chen, Peng, MS187, 10:50 Tue
Chen, Qingshan, PP9, 4:30 Mon
Chen, Qingshan, MS268, 10:55 Wed
Chen, Qingshan, MS293, 2:00 Wed
Chen, Qingshan, MS293, 2:50 Wed
Chen, Richard L., MS195, 10:25 Tue
Chen, Yanping, PP6, 4:30 Sun
Chen, Ye, MS299, 3:15 Wed
Chen, Yi, CP22, 9:10 Wed
Chen, Zheng, MS89, 9:10 Sun
Cheng, Cheng, PP8, 4:30 Sun
Cheng, Juan, MS23, 10:15 Sat
Cheng, Juan, MS23, 10:15 Sat
Cheng, Juan, MS49, 2:25 Sat
Cheng, Yingda, MS15, 10:15 Sat
Cheng, Yingda, MS64, 4:35 Sat
Cheng, Yingda, MS70, 5:50 Sat
Cheng, Yuanzhen, PP2, 4:30 Sun
Chevalier, Cédric, MS200, 10:25 Tue
Chi, Hongmei, PP13, 4:30 Mon
Calderer, Antoni E., MS196, 11:15 Tue
Calderer, Carme, MS14, 10:40 Sat
Calhoun, Donna, MS102, 9:10 Sun
Calhoun, Donna, MS102, 9:10 Sun
Calhoun, Donna, MS127, 1:30 Sun
Calhoun, Donna, PP102, 4:30 Sun
Calvetti, Daniela, MS5, 10:40 Sat
Calvetti, Daniela, PD5, 12:45 Tue
Calvin, Christophe, MS17, 11:05 Sat
Camier, Jean-Sylvain, MS279, 11:45 Wed
Campbell, Dave A., MS158, 2:20 Mon
Canic, Suncica, MS57, 4:35 Sat
Canning, Andrew M., PP3, 4:30 Sun
Cantin, Pierre, PP202, 4:30 Mon
Cantwell, Chris, MS26, 10:15 Sat
Cantwell, Chris, MS51, 2:25 Sat
Cantwell, Chris, MS51, 3:15 Sat
Cantwell, Chris, MS103, 9:10 Sun
Cantwell, Chris, MS103, 9:10 Sun
Cantwell, Chris, MS128, 1:30 Sun
Cao, Shuhao, MS152, 10:00 Mon
Carey, Varis, MS84, 10:25 Sun
Carin, Larry, MS276, 10:55 Wed
Carlberg, Kevin T., MS4, 10:40 Sat
Carlberg, Kevin T., MS187, 10:00 Tue
Carlberg, Kevin T., MS211, 2:15 Tue
Carlberg, Kevin T., MS236, 4:25 Tue
Carlberg, Kevin T., MS260, 10:55 Wed
Carlberg, Kevin T., MS285, 2:00 Wed
Carpentieri, Bruno, MS275, 10:55 Wed
Carrola, John, MS16, 10:15 Sat
Carrola, John, MS42, 2:25 Sat
Carrola, John, MS42, 2:25 Sat
Carson, Erin C., MS141, 10:00 Mon
Carver, Jeffrey C., MS112, 2:45 Sun
Casadei, Astrid, MS250, 5:15 Tue
Casas, Marc, MS107, 1:30 Sun
Catalyurek, Umit V., MS250, 4:50 Tue
Caudillo Mata, Luz Angelica A., CP9, 9:40 Wed
Cazeaux, Paul, CP12, 9:25 Wed
Brunton, Steven, MS2, 10:15 Sat
Brunton, Steven, MS28, 2:25 Sat
Brunton, Steven, MS53, 4:35 Sat
Brunton, Steven, MS53, 4:35 Sat
Bryant, Corey M., MS109, 2:45 Sun
Bu, Yiming, MS275, 12:10 Wed
Buchan, Andrew G., MS292, 3:15 Wed
Bui-Thanh, Tan, MS62, 4:35 Sat
Bui-Thanh, Tan, MS87, 9:10 Sun
Bui-Thanh, Tan, MS272, 10:55 Wed
Bui-Thanh, Tan, MS296, 2:00 Wed
Bui-Thanh, Tan, MS296, 2:00 Wed
Bungartz, Hans-Joachim, MS80, 9:10 Sun
Bungartz, Hans-Joachim, MS105, 1:30 Sun
Burke, James V., MS9, 10:15 Sat
Burkovska, Olena, PP2, 4:30 Sun
Burkow, Markus, CP24, 9:10 Wed
Burstedde, Carsten, MS102, 9:10 Sun
Burstedde, Carsten, MS127, 1:30 Sun
Burstedde, Carsten, MS127, 1:30 Sun
Busetto, AlbertoGiovanni, MS132, 9:10 Mon
Busetto, AlbertoGiovanni, MS132, 9:10 Mon
Busetto, AlbertoGiovanni, MS158, 1:30 Mon
Busetto, AlbertoGiovanni, PP208, 4:30 Mon
Butler, Troy, MS84, 9:10 Sun
Butler, Troy, MS84, 9:10 Sun
Butler, Troy, MS109, 1:30 Sun
Butler, Troy, PP101, 4:30 Sun
Buvoli, Tommaso, PP10, 4:30 Mon
CCabal, Antonio, MS92, 10:00 Sun
Cacuci, Dan G., MS194, 10:25 Tue
Cai, Yongyong, CP20, 9:10 Wed
Cai, Zhenning, PP105, 4:30 Sun
Cai, Zhenning, MS248, 4:25 Tue
Cai, Zhiqiang, MS152, 9:10 Mon
Cai, Zhiqiang, MS152, 9:10 Mon
Cai, Zhiqiang, MS178, 1:30 Mon
Calaf, Marc, MS253, 5:15 Tue
Calderbank, Robert, MS300, 2:25 Wed
2015 SIAM Conference on Computational Science and Engineering 185
Davis, Anthony B., PP105, 4:30 Sun
Davis, Brisa, PP102, 4:30 Sun
Davis, Rachel A., MS198, 11:15 Tue
Davis, Timothy A., MS163, 1:30 Mon
Dawson, Clint, MS206, 10:00 Tue
Dawson, Clint, MS206, 10:00 Tue
Dawson, Clint, MS230, 2:15 Tue
D’Azevedo, Eduardo F., CP4, 9:10 Wed
de Jong, Bert, MS209, 3:05 Tue
De Marchi, Stefano, MS101, 10:00 Sun
De Stefano, Michele, MS181, 2:20 Mon
De Sterck, Hans, MS131, 9:10 Mon
De Sterck, Hans, MS247, 4:25 Tue
De Sturler, Eric, MS91, 9:10 Sun
De Sturler, Eric, MS116, 1:30 Sun
De Sturler, Eric, MS116, 2:20 Sun
De Sturler, Eric, MS143, 9:10 Mon
De Sturler, Eric, MS169, 1:30 Mon
Debusschere, Bert J., MS138, 9:10 Mon
Debusschere, Bert J., MS164, 1:30 Mon
Del Pino, Stephane, MS167, 5:40 Tue
Del Razo, Mauricio J., PP102, 4:30 Sun
Del Razo, Mauricio J., CP9, 9:55 Wed
Delgado, Paul M., MS119, 2:02 Sun
Delgado, Paul M., PP6, 4:30 Sun
D’Elia, Marta, PP201, 4:30 Mon
Delong, Steven D., MS263, 12:10 Wed
Demanet, Laurent, MS74, 5:50 Sat
DeMarco, Christopher, MS256, 11:20 Wed
Demeshko, Irina, MS43, 3:40 Sat
Demeshko, Irina, PP106, 4:30 Sun
Demirci, Utkan, MS42, 2:50 Sat
Demlow, Alan, MS178, 1:30 Mon
Dener, Alp, MS205, 10:25 Tue
Deng, Weishan, CP10, 9:55 Wed
Deng, Xiaodi, MS298, 3:15 Wed
Deng, Xiao-Long, MS196, 10:25 Tue
Densmore, Jeffery D., MS223, 2:15 Tue
Derksen, Alexander, MS214, 2:40 Tue
Desjardins, Olivier, MS52, 5:50 Sat
Constantinescu, Emil M., MS188, 10:00 Tue
Constantinescu, Emil M., MS212, 2:15 Tue
Constantinescu, Emil M., MS237, 4:25 Tue
Cook, Dennis, MS7, 10:40 Sat
Cooley, Kilian, MS228, 2:40 Tue
Copos, Calina A., PP4, 4:30 Sun
Cortez, Ricardo, MS99, 9:10 Sun
Cortez, Ricardo, MS140, 9:10 Mon
Cortial, Julien, MS285, 2:00 Wed
Cotilla-Sanchez, Eduardo, MS281, 2:50 Wed
Cottam, Joseph, MT1, 2:50 Wed
Cotter, Colin J., MS296, 2:50 Wed
Couteyen Carpaye, Jean Marie, PP1, 4:30 Sun
Crabtree, George, MS14, 11:05 Sat
Crestel, Benjamin, PP13, 4:30 Mon
Crivelli, Silvia N., MS198, 10:00 Tue
Crivelli, Silvia N., MS198, 10:00 Tue
Crowe, Cameron, PP8, 4:30 Sun
Cui, Tiangang, MS59, 5:00 Sat
Curtis, Frank E., MS244, 5:15 Tue
Cyr, Eric C., PP106, 4:30 Sun
DDaescu, Dacian N., MS168, 1:30 Mon
Daescu, Dacian N., MS194, 10:00 Tue
Daescu, Dacian N., MS194, 10:00 Tue
Daescu, Dacian N., MS218, 2:15 Tue
Daescu, Dacian N., MS243, 4:25 Tue
Daescu, Dacian N., MS267, 10:55 Wed
Daescu, Dacian N., MS292, 2:00 Wed
Dahm, Johann, MS87, 10:00 Sun
Dahmen, Wolfgang, IP2, 1:30 Sat
Dahmen, Wolfgang, MS81, 10:00 Sun
Dalton, Steven, PP205, 4:30 Mon
Darve, Eric F., MS145, 10:25 Mon
Dastouri, Zahrasadat, PP1, 4:30 Sun
Daunizeau, Jean, CP26, 9:40 Wed
Davidovic, Andjela, PP12, 4:30 Mon
Davis, Anthony B., MS19, 10:15 Sat
Chien, Andrew A., MS82, 10:00 Sun
Childs, Hank, PD2, 12:15 Sun
Chkifa, Abdellah, MS106, 1:55 Sun
Cho, Hana, PP2, 4:30 Sun
Cho, Heyrim, MS289, 2:50 Wed
Choi, Youngsoo, MS148, 9:35 Mon
Chou, Ching-Shan, MS277, 12:10 Wed
Chow, Edmond, MS197, 11:15 Tue
Chow, Joe, MS281, 3:15 Wed
Christlieb, Andrew J., MS45, 2:50 Sat
Christlieb, Andrew J., MS136, 9:35 Mon
Christlieb, Andrew J., MS204, 10:00 Tue
Christlieb, Andrew J., MS228, 2:15 Tue
Christlieb, Andrew J., MS251, 4:25 Tue
Christon, Mark, MS77, 5:25 Sat
Chunfeng, Cui, PP3, 4:30 Sun
Chung, Julianne, MS31, 2:25 Sat
Cinnella, Paola, MS67, 5:00 Sat
Clayton, Richard, MS26, 10:15 Sat
Clayton, Richard, MS51, 2:25 Sat
Cline, Derek A., PP1, 4:30 Sun
Cohen, Albert, MS81, 9:10 Sun
Cohen, Albert, MS106, 1:30 Sun
Cohen, Albert, MS133, 9:10 Mon
Cohen, Albert, MS133, 10:00 Mon
Cohen, Albert, MS159, 1:30 Mon
Cohen, Albert, MS185, 10:00 Tue
Coifman, Ronald, MS53, 5:00 Sat
Coletti, Mark, PP11, 4:30 Mon
Colgin, Zane, CP13, 9:55 Wed
Collins, James B., PP5, 4:30 Sun
Conrad, Patrick R., MS74, 5:00 Sat
Conrad, Patrick R., PP5, 4:30 Sun
Constantine, Paul, MS7, 10:15 Sat
Constantine, Paul, MS33, 2:25 Sat
Constantine, Paul, MS58, 4:35 Sat
Constantine, Paul, MS249, 4:25 Tue
Constantinescu, Emil M., MS136, 9:10 Mon
Constantinescu, Emil M., MS162, 1:30 Mon
Constantinescu, Emil M., MS188, 10:00 Tue
186 2015 SIAM Conference on Computational Science and Engineering
Endeve, Eirik, MS95, 9:35 Sun
Engsig-Karup, Allan P., PP10, 4:30 Mon
Engwer, Christian, MS231, 3:30 Tue
Ennis-King, Jonathan, MS284, 2:50 Wed
Enright, Wayne, MS188, 10:25 Tue
Epshteyn, Yekaterina, MS10, 10:15 Sat
Epshteyn, Yekaterina, MS13, 10:15 Sat
Epshteyn, Yekaterina, MS36, 2:25 Sat
Epshteyn, Yekaterina, MS39, 2:25 Sat
Epshteyn, Yekaterina, MS251, 5:15 Tue
Español, Pep, MS263, 10:55 Wed
Espig, Mike, MS56, 4:35 Sat
Espig, Mike, MS56, 4:35 Sat
Estrada, Felipe, MS216, 2:40 Tue
Evans, Emily, CP19, 9:40 Wed
FFabiano, Enrico, MS86, 9:35 Sun
Fahroo, Fariba, PD0, 8:30 Sat
Fairbanks, James, PP3, 4:30 Sun
Falgout, Robert, IP4, 11:20 Sun
Falk, Michael, MS40, 3:15 Sat
Fan, Yuwei, PP105, 4:30 Sun
Fang, Fangxin, MS267, 11:20 Wed
Fange, David, MS90, 9:35 Sun
Farge, Marie, PP1, 4:30 Sun
Farrell, Kathryn, PP5, 4:30 Sun
Farrell, Patricio, MS75, 5:00 Sat
Farrell, Patrick E., MS182, 10:25 Tue
Farrell, Patrick E., MS292, 2:50 Wed
Fattebert, Jean-Luc, MS209, 2:15 Tue
Feinberg, Eugene A., CP15, 9:25 Wed
Feng, Lihong, MS143, 10:00 Mon
Feng, Xiao, MS251, 5:40 Tue
Ferreira, Ricardo, MS198, 10:25 Tue
Ferrer, Rodolfo, MS173, 1:55 Mon
Fidkowski, Krzysztof, MS98, 10:25 Sun
Field, Scott, PP10, 4:30 Mon
Field, Scott, MS301, 2:25 Wed
Fike, Jeffrey, MS211, 2:40 Tue
Filbir, Frank, MS126, 1:30 Sun
Doostan, Alireza, MS289, 2:00 Wed
Dorff, Michael, MS222, 3:30 Tue
Dow, Eric, MS7, 10:15 Sat
Draganescu, Andrei, MS202, 10:25 Tue
Drawert, Brian, MS90, 9:10 Sun
Drawert, Brian, MS115, 1:30 Sun
Driscoll, Tobin, MS180, 2:45 Mon
Drmac, Zlatko, MS169, 1:30 Mon
Druinsky, Alex, MS210, 3:05 Tue
Druskin, Vladimir L., MS143, 9:10 Mon
Du, Cheng-Han, CP10, 10:10 Wed
Duarte, Marco F., MS300, 3:15 Wed
Duarte, Max, CP10, 9:25 Wed
Duarte, Max, CP17, 9:55 Wed
Dubey, Anshu, MS160, 2:20 Mon
Dutta, Prashanta, MS217, 3:30 Tue
Dwight, Richard, MS135, 9:35 Mon
Dytrych, Tomas, MS61, 5:25 Sat
EEbna Hai, Bhuiyan Shameem M., PP10, 4:30 Mon
Economon, Thomas, MS302, 3:15 Wed
Edelman, Alan, MS246, 4:25 Tue
Edwards, John, PP4, 4:30 Sun
Efendiev, Yalchin, MS290, 2:00 Wed
Ehrlacher, Virginie, MS224, 3:30 Tue
Eldred, Michael S., MS215, 3:30 Tue
Ellingson, Sally R., PP6, 4:30 Sun
Ellingwood, Nathan, PP4, 4:30 Sun
Elliott, James, MS134, 10:25 Mon
Elvetun, Ole Løseth, MS252, 4:50 Tue
Elwasif, Wael R., MS171, 2:20 Mon
Emad, Nahid, MS68, 5:50 Sat
Embree, Mark, MS108, 1:55 Sun
Emelianenko, Maria, PD0, 6:30 Sat
Emelianenko, Maria, PD0, 8:30 Sat
Emelianenko, Maria, MS202, 10:00 Tue
Emelianenko, Maria, MS226, 2:15 Tue
Emerson, David B., MS137, 9:35 Mon
Emory, Michael A., MS58, 5:25 Sat
Deslippe, Jack, MS234, 5:40 Tue
Despres, Bruno, MS48, 2:25 Sat
Detrixhe, Miles L., CP11, 10:10 Wed
Deveci, Mehmet, MS287, 2:25 Wed
Devendran, Dharshi, MS157, 1:30 Mon
Devine, Karen D., MS200, 10:00 Tue
Devine, Karen D., MS200, 10:50 Tue
Devine, Karen D., MS250, 4:25 Tue
DeVore, Ronald, MS81, 9:10 Sun
Dexter, Nick, MS240, 5:40 Tue
Di, Zichao, MS202, 10:00 Tue
Di, Zichao, MS202, 10:00 Tue
Di, Zichao, MS226, 2:15 Tue
Di Napoli, Edoardo A., MS273, 10:55 Wed
Di Napoli, Edoardo A., MS297, 2:00 Wed
Diachin, Lori A., MS201, 10:00 Tue
Diachin, Lori A., MS225, 2:15 Tue
Diaz, Julien, MS277, 11:20 Wed
Dietrich, J. Casey, MS230, 3:05 Tue
Dimarco, Giacomo, MS173, 2:45 Mon
DiStasio, Jr., Robert A., MS184, 10:25 Tue
Ditkowsky, Adi, MS10, 10:40 Sat
Dobson, Matthew, PP6, 4:30 Sun
Doelz, Juergen, MS159, 2:45 Mon
Dogan, Gunay, PP3, 4:30 Sun
Dogan, Gunay, MS226, 2:15 Tue
Dogdas, Belma, MS117, 1:30 Sun
Domingues, Margarete O., CP23, 10:10 Wed
Donev, Aleksandar, MS193, 10:50 Tue
Donev, Aleksandar, MS263, 10:55 Wed
Donev, Aleksandar, MS288, 2:00 Wed
Donev, Aleksandar, MS288, 3:15 Wed
Dong, Bo, MS23, 10:40 Sat
Dong, Suchuan, CP17, 9:10 Wed
Dongarra, Jack J., MS266, 10:55 Wed
Dongarra, Jack J., MS291, 2:00 Wed
Doostan, Alireza, MS191, 10:00 Tue
Doostan, Alireza, MS215, 2:15 Tue
Doostan, Alireza, MS240, 4:25 Tue
Doostan, Alireza, MS264, 10:55 Wed
Doostan, Alireza, MS264, 10:55 Wed
2015 SIAM Conference on Computational Science and Engineering 187
Ghosh, Debojyoti, MS228, 3:05 Tue
Ghysels, Pieter, MS266, 11:20 Wed
Gibou, Frederic G., MS196, 10:00 Tue
Gibou, Frederic G., MS196, 10:00 Tue
Gibou, Frederic G., MS220, 2:15 Tue
Gibou, Frederic G., MS245, 4:25 Tue
Gie, Gung-Min, MS268, 10:55 Wed
Gie, Gung-Min, MS268, 11:45 Wed
Gie, Gung-Min, MS293, 2:00 Wed
Giffen, Deena H., CP21, 9:55 Wed
Giles, Michael B., MS133, 9:10 Mon
Gillespie, Dirk, MS153, 10:00 Mon
Gillette, Andrew, PP207, 4:30 Mon
Gillman, Adrianna, MS48, 2:25 Sat
Gillman, Adrianna, MS73, 4:35 Sat
Gillman, Adrianna, MS203, 11:15 Tue
Gilyard, Julian, MS221, 3:05 Tue
Giraud, Luc, MS82, 9:10 Sun
Giraud, Luc, MS107, 1:30 Sun
Giraud, Luc, MS134, 9:10 Mon
Giraud, Luc, MS160, 1:30 Mon
Girolami, Mark, MS132, 10:00 Mon
Glas, Silke, MS285, 3:15 Wed
Glawe, Christoph, MS20, 11:30 Sat
Gleich, David F., MS1, 10:15 Sat
Gleich, David F., MS1, 10:15 Sat
Glimm, James G., MS233, 4:25 Tue
Gluck, Fred, MS232, 5:15 Tue
Gmeiner, Björn, MS221, 2:15 Tue
Go, Jaegwi, PP4, 4:30 Sun
Gobbert, Matthias K., MS197, 10:00 Tue
Gobbert, Matthias K., MS221, 2:15 Tue
Godinez, Humberto C., MS243, 5:40 Tue
Goldberg, Daniel, MS190, 10:25 Tue
Gonnet, Pedro, MS270, 11:20 Wed
Goodfriend, Lauren, MS102, 10:00 Sun
Gorman, Gerard J, MS128, 1:55 Sun
Graf, Jonathan, MS197, 10:00 Tue
Graham, Erica J., MS113, 1:30 Sun
Graham, Erica J., MS113, 1:30 Sun
GGadou, Mohamed, MS163, 2:20 Mon
Galagusz, Ryan, MS66, 5:25 Sat
Galanti, Barak, PP102, 4:30 Sun
Galaz, José, MS119, 2:18 Sun
Galvin-Donoghue, Mary, MS65, 5:50 Sat
Gambino, James R., PP1, 4:30 Sun
Gamell, Marc, MS107, 1:55 Sun
Gandham, Rajesh, MS294, 2:50 Wed
Ganesh, Mahadevan, CP16, 9:40 Wed
Ganguli, Surya, MS53, 5:25 Sat
Gansterer, Wilfried N., MS160, 2:45 Mon
Garcke, Jochen, MS185, 10:00 Tue
Gardner, Carl L., MS153, 9:10 Mon
Gardner, Carl L., MS153, 9:35 Mon
Gardner, David J., MS201, 10:25 Tue
Garg, Vikram, MS34, 3:15 Sat
Garrett, Charles K., PP105, 4:30 Sun
Garrett, Charles K., MS199, 10:00 Tue
Gaston, Derek R., MS182, 10:00 Tue
Gaston, Derek R., MS259, 10:55 Wed
Gaston, Derek R., MS284, 2:00 Wed
Gauger, Nicolas R., MS69, 4:35 Sat
Gauger, Nicolas R., MS86, 9:10 Sun
Gauger, Nicolas R., MS86, 10:00 Sun
Gauger, Nicolas R., MS111, 1:30 Sun
Gauger, Nicolas R., MS302, 2:00 Wed
Gawlik, Evan S., CP9, 9:25 Wed
Gazzola, Silvia, MS31, 2:50 Sat
Gelb, Anne, MS154, 9:35 Mon
Gentile, Ann, MS262, 11:20 Wed
Ghanem, Roger, MS240, 4:25 Tue
Ghattas, Omar, MS8, 10:15 Sat
Ghattas, Omar, MS46, 2:25 Sat
Ghattas, Omar, MS34, 2:25 Sat
Ghattas, Omar, MS71, 4:35 Sat
Ghattas, Omar, MS59, 4:35 Sat
Ghattas, Omar, PD0, 8:30 Sat
Ghattas, Omar, MS116, 1:30 Sun
Ghesmati, Arezou, PP8, 4:30 Sun
Gholaminejad, Amir, MS239, 5:40 Tue
Fischer, Paul F., MS128, 1:30 Sun
Flenner, Arjuna, MS3, 10:40 Sat
Flyer, Natasha, MS24, 10:15 Sat
Fogelson, Aaron L., MS16, 10:40 Sat
Fornasier, Massimo, MS7, 11:30 Sat
Forstall, Virginia, MS260, 11:45 Wed
Fountoulakis, Kimon, MS179, 2:20 Mon
Fountoulakis, Vasileios, PP15, 4:30 Mon
Fox, Alyson, CP2, 10:10 Wed
Fox, Rodney O., MS19, 10:40 Sat
Franchetti, Franz, MS283, 2:25 Wed
Franck, Isabell, CP5, 10:10 Wed
Francois, Marianne M., MS52, 5:00 Sat
Frank, Martin, MS19, 10:15 Sat
Frank, Martin, MS45, 2:25 Sat
Frank, Martin, MS70, 4:35 Sat
Frank, Martin, MS95, 9:10 Sun
Frank, Martin, MS120, 1:30 Sun
Frank, Martin, PP105, 4:30 Sun
Frank, Martin, MS147, 9:10 Mon
Frank, Martin, MS173, 1:30 Mon
Frank, Martin, MS199, 10:00 Tue
Frank, Martin, MS223, 2:15 Tue
Franzelin, Fabian, CP16, 9:10 Wed
Frazier, Peter I., MS183, 10:00 Tue
Frean, Daniel, MS228, 3:30 Tue
Friedhoff, Stephanie, MS261, 10:55 Wed
Friedlander, Michael, MS9, 10:40 Sat
Fringer, Oliver, MS230, 2:40 Tue
Frischknecht, Amalie, MS217, 3:05 Tue
Froese, Brittany, MS64, 5:50 Sat
Fromm, Bradley, MS259, 10:55 Wed
Fu, Guosheng, MS176, 1:55 Mon
Fukaya, Takeshi, MS63, 5:25 Sat
Funke, Simon W., PP204, 4:30 Mon
Funke, Simon W., MS229, 2:15 Tue
Funke, Simon W., MS231, 2:15 Tue
Funke, Simon W., MS252, 4:25 Tue
Fuselier, Edward, MS101, 10:25 Sun
188 2015 SIAM Conference on Computational Science and Engineering
Halappanavar, Mahantesh, MS256, 10:55 Wed
Halappanavar, Mahantesh, MS269, 12:10 Wed
Halappanavar, Mahantesh, MS281, 2:00 Wed
Hall, David M., MS272, 11:45 Wed
Hall, Mary, MS258, 11:45 Wed
Ham, David, PP204, 4:30 Mon
Ham, David, MS207, 10:00 Tue
Ham, David, MS207, 10:00 Tue
Ham, David, MS231, 2:15 Tue
Hamlet, Christina, MS16, 11:30 Sat
Hammett, Greg, PP105, 4:30 Sun
Hampton, Jerrad, MS238, 4:25 Tue
Hangelbroek, Thomas C., MS101, 9:35 Sun
Hansen, Anders, MS276, 10:55 Wed
Hansen, Anders, MS300, 2:00 Wed
Hansen, Glen, MS304, 2:00 Wed
Hansen, Michael A., PP9, 4:30 Mon
Harmon, Michael D., PP7, 4:30 Sun
Hasler, Jennifer, MS153, 10:25 Mon
Hauck, Cory, MS19, 10:15 Sat
Hauck, Cory, MS45, 2:25 Sat
Hauck, Cory, MS70, 4:35 Sat
Hauck, Cory, MS95, 9:10 Sun
Hauck, Cory, MS120, 1:30 Sun
Hauck, Cory, MS147, 9:10 Mon
Hauck, Cory, MS173, 1:30 Mon
Hauck, Cory, MS199, 10:00 Tue
Hauck, Cory, MS223, 2:15 Tue
Hawkins-Daarud, Andrea, MS166, 1:55 Mon
Hawkins-Daarud, Andrea, MS239, 5:15 Tue
Haynes, Ronald, MS237, 5:40 Tue
Haynes, Ronald, MS261, 10:55 Wed
Haynes, Ronald, MS286, 2:00 Wed
He, Cuiyu, PP8, 4:30 Sun
He, Cuiyu, MS178, 2:20 Mon
He, Cuiyu, PP10, 4:30 Mon
He, Xiaoming, MS208, 2:15 Tue
He, Xiaoming, MS233, 4:25 Tue
Guittet, Arthur, CP17, 9:40 Wed
Günther, Stefanie, MS69, 5:25 Sat
Gunzburger, Max, MS81, 9:10 Sun
Gunzburger, Max, MS106, 1:30 Sun
Gunzburger, Max, MS133, 9:10 Mon
Gunzburger, Max, MS159, 1:30 Mon
Gunzburger, Max, PP201, 4:30 Mon
Gunzburger, Max, MS185, 10:00 Tue
Guo, Hanliang, MS22, 11:30 Sat
Guo, Hong, CP11, 9:25 Wed
Guo, Wei, PP105, 4:30 Sun
Guthrey, Pierson, CP12, 9:55 Wed
Guzzetti, Sofia, CP21, 10:10 Wed
HHöft, Thomas, PP6, 4:30 Sun
Haack, Jeffrey, MS120, 1:55 Sun
Haario, Heikki, MS59, 5:50 Sat
Haasdonk, Bernard, MS4, 10:15 Sat
Haasdonk, Bernard, MS148, 9:10 Mon
Haasdonk, Bernard, MS174, 1:30 Mon
Haber, Eldad, MS91, 9:10 Sun
Haber, Eldad, MS91, 9:10 Sun
Haber, Eldad, MS116, 1:30 Sun
Haber, Eldad, MS143, 9:10 Mon
Haber, Eldad, MS169, 1:30 Mon
Haber, Eldad, PD5, 12:45 Tue
Haber, Eldad, MS246, 4:25 Tue
Haberl, Alexander, MS227, 3:05 Tue
Hadri, Bilel, MS93, 9:10 Sun
Hadri, Bilel, MS118, 1:30 Sun
Hagstrom, Thomas M., MS277, 10:55 Wed
Hagstrom, Thomas M., MS277, 10:55 Wed
Hagstrom, Thomas M., MS301, 2:00 Wed
Haidar, Azzam, MS12, 10:15 Sat
Haidar, Azzam, MS12, 10:15 Sat
Haidar, Azzam, MS38, 2:25 Sat
Haidar, Azzam, MS63, 4:35 Sat
Hajghassem, Mona, PP3, 4:30 Sun
Hakim, Ammar, MS95, 10:00 Sun
Graham, Lindley C., MS84, 9:35 Sun
Graham, Lindley C., PP101, 4:30 Sun
Gramacy, Robert, MS183, 10:25 Tue
Grandine, Thomas A., PD0, 6:30 Sat
Grandine, Tom, PD1, 12:15 Sat
Grant, Zachary J., PP10, 4:30 Mon
Grant, Zachary J., MS212, 3:30 Tue
Granzow, Brian, PP103, 4:30 Sun
Granzow, Brian, MS225, 3:05 Tue
Grasedyck, Lars, MS56, 5:00 Sat
Gratadour, Damien, MS93, 10:00 Sun
Graziani, Frank, MS147, 9:10 Mon
Greenspan, Elizabeth, PD5, 12:45 Tue
Greif, Chen, MS83, 10:00 Sun
Griewank, Andreas, MS194, 10:50 Tue
Griffith, Boyce, MS16, 11:05 Sat
Grigori, Laura, MS141, 9:10 Mon
Grimm, Alexander, MS143, 9:35 Mon
Grindeanu, Iulian, PP1, 4:30 Sun
Gropp, William D., PP204, 4:30 Mon
Grotendorst, Johannes, CP3, 10:10 Wed
Groth, Clinton P., MS295, 3:15 Wed
Grove, John W., MS208, 2:40 Tue
Grove, Ryan R., PP2, 4:30 Sun
Gu, Li, PP201, 4:30 Mon
Gu, Tongxiang, CP7, 9:40 Wed
Gu, Xiaojun, MS248, 4:25 Tue
Guarin Zapata, Nicolas, PP4, 4:30 Sun
Guenther, Michael, MS6, 10:15 Sat
Guenther, Michael, MS136, 9:10 Mon
Guenther, Michael, MS162, 1:30 Mon
Guenther, Michael, MS188, 10:00 Tue
Guenther, Michael, MS212, 2:15 Tue
Guenther, Michael, MS237, 4:25 Tue
Guerra, Jorge E., MS272, 11:20 Wed
Gugercin, Serkan, MS91, 9:10 Sun
Gugercin, Serkan, MS116, 1:30 Sun
Gugercin, Serkan, MS143, 9:10 Mon
Gugercin, Serkan, MS169, 1:30 Mon
Gugercin, Serkan, MS168, 2:20 Mon
Gugercin, Serkan, MS211, 3:05 Tue
2015 SIAM Conference on Computational Science and Engineering 189
Howell, Jason, CP18, 9:10 Wed
Hu, Guanghui, MS204, 11:15 Tue
Hu, Jingwei, MS45, 3:40 Sat
Hu, Jonathan J., PP103, 4:30 Sun
Hu, Jonathan J., MS149, 9:35 Mon
Hu, Jun, MS152, 10:25 Mon
Hu, Jun, PP207, 4:30 Mon
Hu, Xiaozhe, MS11, 10:40 Sat
Hu, Zhicheng, MS248, 4:25 Tue
Huang, Chen, MS234, 4:50 Tue
Huang, Chen, CP1, 9:25 Wed
Huang, Jianjun, CP21, 9:40 Wed
Huang, Zhenyu, MS281, 2:00 Wed
Huckle, Thomas K., CP6, 10:10 Wed
Humpherys, Jeffrey, MS222, 3:05 Tue
Humpherys, Jeffrey, MS280, 3:15 Wed
Humphrey, Alan, PP206, 4:30 Mon
Hunter, Blake, MS3, 11:05 Sat
Hutchins, John T., PP2, 4:30 Sun
Huybrechs, Daan, MS154, 9:10 Mon
Huybrechs, Daan, MS180, 1:30 Mon
Hysing, Johan S., CP19, 9:55 Wed
IIaccarino, Gianluca, MS161, 1:30 Mon
Ibanez, Dan A., MS97, 9:10 Sun
Ibanez, Dan A., PP103, 4:30 Sun
Ibeid, Huda, MS73, 5:00 Sat
Ibrahima, Fayadhoi, PP5, 4:30 Sun
Iglesias, Marco, MS59, 5:25 Sat
Iliescu, Traian, MS211, 2:15 Tue
Imakura, Akira, MS134, 9:10 Mon
Imamura, Toshiyuki, MS258, 10:55 Wed
Imamura, Toshiyuki, MS283, 2:00 Wed
Imamura, Toshiyuki, MS283, 2:00 Wed
Imbert-Gérard, Lise-Marie, MS48, 2:25 Sat
Imbert-Gérard, Lise-Marie, MS73, 4:35 Sat
Imbert-Gérard, Lise-Marie, MS73, 4:35 Sat
Ipsen, Ilse, MS266, 11:45 Wed
Irish, Jennifer L., MS166, 1:30 Mon
Higgins, Raegan, MS192, 10:00 Tue
Higgins, Raegan, MS216, 2:15 Tue
Higham, Nicholas J., PD5, 12:45 Tue
Higueras, Inmaculada, MS188, 11:15 Tue
Hill, Chris, MS190, 11:15 Tue
Hillewaert, Koen, MS67, 4:35 Sat
Hillewaert, Koen, MS67, 4:35 Sat
Himpe, Christian, MS116, 1:55 Sun
Himpe, Christian, PP5, 4:30 Sun
Hittinger, Jeffrey A., PD0, 8:30 Sat
Hittinger, Jeffrey A., MS186, 10:00 Tue
Hittinger, Jeffrey A., MS210, 2:15 Tue
Ho, Kenneth L., MS74, 4:35 Sat
Ho, Nguyenho, PP9, 4:30 Mon
Hoefler, Torsten, MS262, 10:55 Wed
Hoefler, Torsten, MS287, 2:00 Wed
Hoemmen, Mark, MS108, 2:20 Sun
Hoffman, Bill, MS77, 4:35 Sat
Hoffman, Bill, MS77, 4:35 Sat
Hoffman, Johan, PP204, 4:30 Mon
Hoffmann, Franz M., MS22, 11:05 Sat
Hogg, Jonathan, MS163, 1:55 Mon
Hohenegger, Christel, MS96, 9:10 Sun
Hohenegger, Christel, MS122, 1:30 Sun
Holgado, Aaron M., PP5, 4:30 Sun
Hollingsworth, Jeffery, MS258, 11:20 Wed
Holton, Douglas, MS299, 2:50 Wed
Holzaepfel, Aaron, PP105, 4:30 Sun
Horesh, Lior, MS74, 4:35 Sat
Horesh, Lior, MS91, 9:35 Sun
Horntrop, David J., CP22, 10:10 Wed
Horsch, Martin T., CP1, 10:10 Wed
Hoshino, Tetsuya, MS43, 2:50 Sat
Hötzer, Johannes, MS124, 1:55 Sun
Hou, Zhangshuan, CP16, 9:25 Wed
Hovland, Paul D., MS190, 10:00 Tue
Howard, Marylesa, MS144, 9:35 Mon
Howe, Bill, MS78, 10:00 Sun
Howell, Gary W., CP25, 9:55 Wed
Howell, Gary W., MS275, 10:55 Wed
He, Xiaoming, MS257, 10:55 Wed
He, Xiaoming, MS257, 12:10 Wed
He, Xiaoming, MS282, 2:00 Wed
He, Ying, MS44, 3:15 Sat
He, Ying, MS89, 9:35 Sun
Hebbur Venkata Subba Rao, Vishwas, MS190, 10:50 Tue
Heister, Timo, MS103, 9:35 Sun
Heister, Timo, MS155, 9:35 Mon
Heister, Timo, PP204, 4:30 Mon
Helenbrook, Brian, MS144, 10:00 Mon
Hellander, Andreas, MS90, 9:10 Sun
Hellander, Andreas, MS115, 1:30 Sun
Helzel, Christiane, MS130, 9:10 Mon
Henriksen, Ian D., PP6, 4:30 Sun
Henshaw, William, MS32, 2:50 Sat
Herbert-Voss, Ariel, MS146, 9:26 Mon
Heroux, Michael, MS17, 10:15 Sat
Heroux, Michael, MS17, 10:15 Sat
Heroux, Michael, MS43, 2:25 Sat
Heroux, Michael, MS68, 4:35 Sat
Heroux, Michael, MS82, 9:10 Sun
Heroux, Michael, MS82, 9:10 Sun
Heroux, Michael, MS107, 1:30 Sun
Heroux, Michael, MS134, 9:10 Mon
Heroux, Michael, MS160, 1:30 Mon
Heroux, Michael, PP204, 4:30 Mon
Herrmann, Marcus, MS52, 5:25 Sat
Herty, Michael, MS147, 10:25 Mon
Heryudono, Alfa, MS75, 5:50 Sat
Hess, Martin W., MS169, 2:20 Mon
Heuveline, Vincent, PD2, 12:15 Sun
Hewett, Russell, MS73, 5:50 Sat
Hewson, John C., MS20, 10:40 Sat
Hicken, Jason E., MS111, 1:55 Sun
Hicken, Jason E., MS205, 10:00 Tue
Hickernell, Fred J., MS159, 2:20 Mon
Higgins, Raegan, MS88, 9:10 Sun
Higgins, Raegan, MS113, 1:30 Sun
Higgins, Raegan, MS140, 9:10 Mon
Higgins, Raegan, MS166, 1:30 Mon
190 2015 SIAM Conference on Computational Science and Engineering
Karpinski, Stephan, MS182, 10:50 Tue
Katagiri, Takahiro, MS258, 10:55 Wed
Katagiri, Takahiro, MS258, 10:55 Wed
Katagiri, Takahiro, MS283, 2:00 Wed
Katsoulakis, Markos A., PP104, 4:30 Sun
Katz, Richard F., MS155, 9:10 Mon
Katz, Richard F., MS181, 1:30 Mon
Kaus, Boris, MS155, 10:25 Mon
Keasler, Jeff, MS17, 11:30 Sat
Keener, James P., MS26, 11:05 Sat
Kees, Chris, CP6, 9:40 Wed
Kekenes-Huskey, Peter, MS51, 2:50 Sat
Keller, Tobias, MS181, 2:45 Mon
Kelley, C.T., PD0, 6:30 Sat
Kelley, C.T., MS142, 9:10 Mon
Kelley, C.T., MS142, 9:10 Mon
Kennedy, Graeme, MS205, 10:00 Tue
Kennedy, Graeme, MS205, 10:00 Tue
Kent, Carson, MS58, 5:00 Sat
Kent, Paul, MS209, 3:30 Tue
Kenway, Gaetan, MS205, 11:15 Tue
Keppens, Rony, MS271, 11:20 Wed
Kerfriden, Pierre, MS4, 11:30 Sat
Ketcheson, David I., PP102, 4:30 Sun
Ketcheson, David I., MS212, 2:40 Tue
Kevlahan, Nicholas, MS41, 2:25 Sat
Kevrikidis, Yannis, MS28, 3:40 Sat
Keyes, David E., PD1, 12:15 Sat
Keyes, David E., MS93, 9:10 Sun
Keyes, David E., PD3, 12:15 Mon
Khabou, Amal, MS266, 12:10 Wed
Khan, Maryam, MS192, 10:25 Tue
Khatri, Shilpa, CP9, 10:10 Wed
Khuvis, Samuel, MS197, 10:50 Tue
Kilmer, Misha E., MS5, 10:15 Sat
Kilmer, Misha E., MS31, 2:25 Sat
Kilmer, Misha E., MS91, 9:10 Sun
Kilmer, Misha E., MS116, 1:30 Sun
Kilmer, Misha E., MS143, 9:10 Mon
Kilmer, Misha E., MS169, 1:30 Mon
Johansen, Hans, MS296, 2:25 Wed
Johansson, August, MS10, 11:30 Sat
Johnsen, Pete, MS118, 2:20 Sun
Johnson, Calvin W., MS61, 4:35 Sat
Johnson, Christopher, PD4, 12:45 Tue
Johnson, Christopher, MS247, 4:25 Tue
Jolivet, Pierre, MS226, 2:40 Tue
Jordan, Tobias, PP2, 4:30 Sun
Joseph-Ellison, Stacey, MS94, 9:10 Sun
Joseph-Ellison, Stacey, PP7, 4:30 Sun
Joshi, Sunnie, MS89, 10:00 Sun
Jouvet, Guillaume, MS46, 3:40 Sat
Jovanovic, Mihailo R., MS28, 2:50 Sat
Joyce, Kevin, MS170, 1:55 Mon
Ju, Lili, MS46, 3:15 Sat
Juckeland, Guido, MS235, 4:50 Tue
Jung, Chang-Yeol, MS293, 3:15 Wed
JZhu, Jiang, MS292, 2:00 Wed
KKabir, Humayun, MS221, 2:40 Tue
Kågström, Bo T., MS38, 2:25 Sat
Kahl, Karsten, MS254, 5:15 Tue
Kaiser, Eurika, MS2, 10:40 Sat
Kaizu, Kazunari, MS90, 10:25 Sun
Kalashnikova, Irina, MS46, 2:25 Sat
Kalashnikova, Irina, MS46, 2:50 Sat
Kalashnikova, Irina, MS71, 4:35 Sat
Kallemov, Bakytzhan, MS288, 2:50 Wed
Kandasamy, Manickam, CP14, 10:10 Wed
Kanner, Samuel, MS67, 5:25 Sat
Kanso, Eva, MS99, 10:25 Sun
Kaper, Hans G., MS14, 10:15 Sat
Kaper, Hans G., MS40, 2:25 Sat
Kaper, Hans G., MS65, 4:35 Sat
Kara, Rukiye, CP24, 9:55 Wed
Karimi, Saeid, PP10, 4:30 Mon
Karimi, Saeid, CP10, 9:40 Wed
Karlsson, Lars, MS38, 2:50 Sat
Karniadakis, George E., PP104, 4:30 Sun
Karpeyev, Dmitry A., PP204, 4:30 Mon
Isaac, Toby, MS71, 4:35 Sat
Iske, Armin, MS75, 5:25 Sat
Iturraran-Viveros, Ursula, PP6, 4:30 Sun
Ivan, Lucian, MS271, 10:55 Wed
Ivan, Lucian, MS295, 2:00 Wed
Ivan, Lucian, MS295, 2:00 Wed
JJackiewicz, Zdzislaw, MS212, 2:15 Tue
Jacquelin, Mathias, MS149, 10:25 Mon
Jafarpour, Benham, MS238, 4:50 Tue
Jain, Rajeev, MS121, 1:55 Sun
Jainta, Marcus, PP6, 4:30 Sun
Jakeman, John D., MS189, 10:00 Tue
Jakeman, John D., MS213, 2:15 Tue
Jakeman, John D., MS213, 2:15 Tue
Jakeman, John D., MS238, 4:25 Tue
Jalali, Alireza, MS150, 10:25 Mon
James, Doug L., MS260, 10:55 Wed
James, Richard, MS65, 4:35 Sat
Jameson, Antony, MS98, 9:10 Sun
Jameson, Antony, MS123, 1:30 Sun
Jameson, Antony, MS123, 1:30 Sun
Jameson, Antony, MS150, 9:10 Mon
Jameson, Antony, MS176, 1:30 Mon
Jandhyala, Vikram, MS54, 5:50 Sat
Jansen, Kenneth, PP103, 4:30 Sun
Jansen, Kenneth, MS225, 2:15 Tue
Jantsch, Peter, MS138, 10:00 Mon
Jeannot, Emmanuel, MS262, 12:10 Wed
Jefferson, Jennifer, MS58, 4:35 Sat
Jiahao, Chen, MS246, 4:25 Tue
Jiang, Jiahua, PP8, 4:30 Sun
Jiang, Jiahua, PP5, 4:30 Sun
Jiao, Xiangmin, MS121, 2:45 Sun
Jimack, Peter K., CP2, 9:25 Wed
Jimenez Bolanos, Silvia, MS113, 1:55 Sun
Jin, Shi, MS45, 3:15 Sat
Johansen, Hans, MS112, 1:30 Sun
Johansen, Hans, MS130, 9:10 Mon
Johansen, Hans, MS157, 1:30 Mon
2015 SIAM Conference on Computational Science and Engineering 191
Langtangen, Hans Petter, MS78, 9:35 Sun
Langtangen, Hans Petter, MS182, 10:00 Tue
Lapham, Gary, CP24, 9:40 Wed
Larson, Stephen, MS115, 1:55 Sun
Larsson, Elisabeth, MS75, 4:35 Sat
Lashuk, Ilya, MS137, 10:00 Mon
Lau, Stephen, PP6, 4:30 Sun
Laurent, Thomas, MS3, 11:30 Sat
Law, Kody, MS8, 10:40 Sat
Law, Kody, MS185, 10:25 Tue
Lazar, Emanuel A., CP1, 9:10 Wed
Lazarov, Boyan S., CP13, 10:10 Wed
Le, Ellen B., MS33, 2:25 Sat
Le-Dimet, Francois-Xavier L., MS194, 11:15 Tue
Lee, Junghoon, MS92, 10:25 Sun
Lee, Lik Chuan, MS76, 5:00 Sat
Lee, Young Ju, MS37, 3:40 Sat
Lee, Young-Ju, MS11, 10:15 Sat
Lee, Young-Ju, MS37, 2:25 Sat
Lefantzi, Sophia, MS161, 1:55 Mon
Leffell, Joshua I., PP6, 4:30 Sun
Lehto, Erik, MS50, 3:15 Sat
Leibs, Chris, MS137, 9:10 Mon
Leiderman, Karin, MS22, 10:15 Sat
Leiderman, Karin, MS122, 1:30 Sun
Leiderman, Karin, MS140, 9:35 Mon
Lermusiaux, Pierre F.J, MS218, 2:15 Tue
Leung, Calvin, MS172, 2:02 Mon
Leung, Vitus, MS262, 10:55 Wed
Leung, Vitus, MS262, 10:55 Wed
Leung, Vitus, MS287, 2:00 Wed
LeVeque, Randall, PP102, 4:30 Sun
Levy, Rachel, MS94, 9:10 Sun
Levy, Rachel, MS119, 1:30 Sun
Levy, Rachel, MS140, 10:00 Mon
Levy, Rachel, MS222, 2:15 Tue
Levy, Rachel, MS280, 2:25 Wed
Lewicka, Marta, MS14, 11:30 Sat
Lewis, Allison, MS218, 2:40 Tue
Leyffer, Sven, PD0, 6:30 Sat
Kordy, Michal A., PP6, 4:30 Sun
Koumoutsakos, Petros, MS158, 1:55 Mon
Kouri, Drew P., MS244, 5:40 Tue
Kouri, Drew P., MS274, 10:55 Wed
Kouri, Drew P., MS298, 2:00 Wed
Kowalski, Karol, MS234, 5:15 Tue
Kowitz, Christoph, PP11, 4:30 Mon
Kozdon, Jeremy E., MS102, 10:25 Sun
Kramer, Boris, PP11, 4:30 Mon
Krämer, Lukas, MS297, 2:25 Wed
Kraus, Michael, CP5, 9:40 Wed
Krause, Rolf, MS79, 9:10 Sun
Kreienbuehl, Andreas, MS261, 11:45 Wed
Kreiss, Gunilla, MS10, 10:15 Sat
Kreiss, Gunilla, MS36, 2:25 Sat
Kressner, Daniel, MS224, 2:15 Tue
Kressner, Daniel, MS249, 4:25 Tue
Krishnamurthy, Adarsh, MS76, 5:25 Sat
Krueger, Justin, MS169, 2:45 Mon
Ku, Seung-Hoe, MS201, 10:00 Tue
Kubatko, Ethan, MS206, 11:15 Tue
Kuberry, Paul A., PP203, 4:30 Mon
Kumar, Rakesh, PP2, 4:30 Sun
Kumar, Rakesh, CP23, 9:25 Wed
Kumari, Aradhana, PP8, 4:30 Sun
Kuo, Frances Y., MS159, 1:55 Mon
Kutz, J. Nathan, MS2, 10:15 Sat
Kutz, J. Nathan, MS2, 10:15 Sat
Kutz, J. Nathan, MS28, 2:25 Sat
Kutz, J. Nathan, MS53, 4:35 Sat
Kuznetsov, Sergey V, CP4, 9:40 Wed
Kyei, Yaw, CP23, 9:10 Wed
LLadenheim, Scott, CP6, 9:10 Wed
Lafitte, Pauline, MS70, 4:35 Sat
Laguna, Ignacio, MS107, 2:20 Sun
Lahat, Dana, PP11, 4:30 Mon
Laiu, Ming Tse P., PP105, 4:30 Sun
Lambers, James V., MS5, 11:05 Sat
Kim, Changho, PP6, 4:30 Sun
Kim, Kyungjoo, MS193, 10:00 Tue
Kim, Kyungjoo, MS217, 2:15 Tue
Kim, Kyungjoo, MS217, 2:40 Tue
Kim, Kyungjoo, MS242, 4:25 Tue
Kim, Mintae, MS12, 11:05 Sat
Kirby, Mike, MS128, 2:20 Sun
Kirby, Rob, MS207, 10:00 Tue
Kirby, Rob, MS231, 2:15 Tue
Kirby, Robert C., PP106, 4:30 Sun
Kitanidis, Peter K., MS34, 2:25 Sat
Klatt, Torbjörn, PP14, 4:30 Mon
Kloeckner, Andreas, PP106, 4:30 Sun
Kloeckner, Andreas, MS151, 9:10 Mon
Kloeckner, Andreas, MS177, 1:30 Mon
Kloeckner, Andreas, MS203, 10:00 Tue
Kloeckner, Andreas, MS227, 2:15 Tue
Kloeckner, Andreas, MS227, 3:30 Tue
Knap, Jaroslaw, CP1, 9:40 Wed
Knepley, Matthew G., MS181, 1:55 Mon
Knepley, Matthew G., PP204, 4:30 Mon
Knepley, Matthew, MS294, 2:00 Wed
Knight, Nicholas, MS38, 3:15 Sat
Koch, Zoe, MS172, 1:30 Mon
Koellermeier, Julian, PP105, 4:30 Sun
Koestler, Harald, MS124, 1:30 Sun
Koestler, Harald, MS239, 4:25 Tue
Kohn, Robert V., MS40, 2:25 Sat
Kolata, Bill, MS21, 2:25 Sat
Kolata, Bill, MS47, 2:25 Sat
Kolata, Bill, MS72, 2:25 Sat
Kolata, William G., MS21, 10:15 Sat
Kolata, William G., PD1, 12:15 Sat
Kolata, William G., MS47, 2:25 Sat
Kolata, William G., MS72, 4:35 Sat
Kolda, Tamara G., MS1, 10:15 Sat
Kolda, Tamara G., MS1, 10:40 Sat
Kolla, Hemanth, MS107, 2:45 Sun
Kong, Fande, CP6, 9:55 Wed
Kontos, Stavros, PP1, 4:30 Sun
192 2015 SIAM Conference on Computational Science and Engineering
Ltaief, Hatem, MS118, 1:30 Sun
Ltaief, Hatem, MS145, 9:10 Mon
Ltaief, Hatem, MS171, 1:30 Mon
Ltaief, Hatem, MS171, 1:55 Mon
Lu, Qiukai, MS121, 2:20 Sun
Lu, Tiao, MS15, 11:05 Sat
Lubin, Miles, MS246, 5:15 Tue
Luisier, Mathieu, MS209, 2:40 Tue
Lukaczyk, Trent W., MS33, 3:40 Sat
Luo, Songting, MS64, 4:35 Sat
Lupo Pasini, Massimiliano, MS210, 2:40 Tue
Lushi, Enkeleida, MS96, 9:10 Sun
Lushi, Enkeleida, MS96, 9:10 Sun
Lushi, Enkeleida, MS122, 1:30 Sun
Luszczek, Piotr, MS12, 10:15 Sat
Luszczek, Piotr, MS38, 2:25 Sat
Luszczek, Piotr, MS63, 4:35 Sat
Luszczek, Piotr, MS235, 4:25 Tue
Luttman, Aaron B., MS144, 9:10 Mon
Luttman, Aaron B., MS144, 9:10 Mon
Luttman, Aaron B., MS170, 1:30 Mon
Lydon, Elizabeth, PP8, 4:30 Sun
Lynn, Brianna, PP7, 4:30 Sun
Lyon, Mark, MS66, 5:50 Sat
Lyon, Mark, MS154, 10:00 Mon
MMa, Yian, MS193, 10:25 Tue
Ma, Yicong, MS37, 2:25 Sat
Mabuza, Sibusiso, PP1, 4:30 Sun
Maclachlan, Scott, MS261, 10:55 Wed
Maclachlan, Scott, MS286, 2:00 Wed
Madduri, Kamesh, MS250, 4:25 Tue
Maeda, Hiroshi, MS38, 3:40 Sat
Maggioni, Mauro, MS300, 2:50 Wed
Magruder, Caleb C., CP16, 10:10 Wed
Mahadevan, Vijay, MS175, 1:30 Mon
Mahadevan, Vijay, PP204, 4:30 Mon
Mahoney, Michael, MS291, 2:00 Wed
Main, Alex, MS57, 5:50 Sat
Mainini, Laura, MS55, 5:00 Sat
Lignell, David O., MS20, 10:15 Sat
Lignell, David O., MS20, 10:15 Sat
Lim, Grace, MS172, 2:50 Mon
Limogiannis, Nicolas, MS146, 10:30 Mon
Lin, Fu, MS179, 2:45 Mon
Lin, Fu, MS269, 10:55 Wed
Lin, Guang, MS213, 2:40 Tue
Lin, Junshan, MS44, 2:50 Sat
Lin, Lin, MS184, 10:00 Tue
Lin, Lin, MS209, 2:15 Tue
Lin, Lin, MS234, 4:25 Tue
Lin, Ning, MS206, 10:25 Tue
Lin, Paul, MS68, 5:00 Sat
Linder, Christian, PP6, 4:30 Sun
Lindner, Florian, PP6, 4:30 Sun
Lipnikov, Konstantin, PP202, 4:30 Mon
Lischke, Anna, CP9, 9:10 Wed
Litvinenko, Alexander, MS56, 4:35 Sat
Litvinenko, Alexander, PP5, 4:30 Sun
Litvinenko, Alexander, MS238, 5:15 Tue
Liu, Hong, MS299, 2:00 Wed
Liu, Hong, MS299, 2:00 Wed
Liu, James, MS265, 10:55 Wed
Liu, James, MS290, 2:00 Wed
Liu, Xing, MS63, 5:50 Sat
Liu, Yanchao, MS269, 11:45 Wed
Liu, Yuan, MS204, 10:00 Tue
Liu, Yuan, MS204, 10:25 Tue
Liu, Yuan, MS228, 2:15 Tue
Liu, Yuan, MS251, 4:25 Tue
Loeb, Andrew, PP15, 4:30 Mon
Loffeld, John, MS186, 10:00 Tue
Loffeld, John, MS186, 10:00 Tue
Loffeld, John, MS210, 2:15 Tue
Logg, Anders, PP204, 4:30 Mon
Lolla, Tapovan, PP5, 4:30 Sun
Long, Min, MS127, 2:20 Sun
Lopez, Anthony, MS198, 10:50 Tue
Lopez, Florent, MS145, 9:35 Mon
Lotfian, Zahra S., PP14, 4:30 Mon
Lotfian, Zahra S., CP18, 9:25 Wed
Ltaief, Hatem, MS93, 9:10 Sun
Leyffer, Sven, PD0, 8:30 Sat
Leyffer, Sven, MS179, 1:30 Mon
Leyffer, Sven, MS179, 1:30 Mon
Leyffer, Sven, MS244, 4:25 Tue
Leyffer, Sven, MS269, 10:55 Wed
Li, Bing, MS7, 11:05 Sat
Li, Fengyan, MS15, 10:15 Sat
Li, Fengyan, MS15, 10:15 Sat
Li, Fengyan, MS64, 4:35 Sat
Li, Fengyan, MS89, 9:10 Sun
Li, Fengyan, MS114, 1:30 Sun
Li, Gaojin, MS96, 10:00 Sun
Li, Guanglian, PP8, 4:30 Sun
Li, Harriet, MS91, 10:25 Sun
Li, Hengguang, MS11, 11:30 Sat
Li, Jichun, CP19, 10:10 Wed
Li, Jing-Rebecca, MS130, 10:25 Mon
Li, Longfei, MS32, 3:15 Sat
Li, Matthew T., CP19, 9:25 Wed
Li, Qin, MS120, 1:30 Sun
Li, Ruo, MS248, 4:50 Tue
Li, Shengtai, MS233, 5:15 Tue
Li, Xiaofei, PP6, 4:30 Sun
Li, Xiaolin, MS208, 2:15 Tue
Li, Xiaolin, MS208, 2:15 Tue
Li, Xiaolin, MS233, 4:25 Tue
Li, Xiaolin, MS257, 10:55 Wed
Li, Xiaolin, MS282, 2:00 Wed
Li, Xiaoye Sherry, PP103, 4:30 Sun
Li, Xiaoye Sherry, MS149, 10:00 Mon
Li, Xiaoye Sherry, MS266, 10:55 Wed
Li, Xiaoye Sherry, MS291, 2:00 Wed
Li, Xingjie, MS23, 11:05 Sat
Li, Xingjie, MS89, 10:25 Sun
Li, Xingliang, MS268, 11:20 Wed
Li, Zhen, PP104, 4:30 Sun
Li, Zhen, MS242, 5:40 Tue
Li, Zhijin, MS243, 4:25 Tue
Li, Zhilin, MS208, 3:30 Tue
Liang, Chunlei, MS123, 1:55 Sun
Liao, Li, CP3, 9:25 Wed
Lifflander, Jonathan, MS129, 10:00 Mon
2015 SIAM Conference on Computational Science and Engineering 193
Messina, Paul C., PP14, 4:30 Mon
Meyer, Francois G., MS29, 2:25 Sat
Meyer, Miriah, MS255, 11:20 Wed
Michalak, Anna, IP5, 8:15 Mon
Michalopoulou, Zoi-Heleni, PP7, 4:30 Sun
Miedlar, Agnieszka, CP25, 9:40 Wed
Mieussens, Luc, MS95, 10:25 Sun
Mignolet, Marc P., MS55, 5:50 Sat
Mikler, Armin, MS100, 9:35 Sun
Miller, Benjamin A., MS100, 9:10 Sun
Miller, Benjamin A., MS100, 9:10 Sun
Miller, Benjamin A., MS125, 1:30 Sun
Miller, Eric, MS5, 10:15 Sat
Miller, Eric, MS31, 2:25 Sat
Millman, Kenneth J., MS78, 9:10 Sun
Millman, Kenneth J., MS78, 9:10 Sun
Min, MiSun, MS18, 10:15 Sat
Min, MiSun, MS44, 2:25 Sat
Min, MiSun, MS89, 9:10 Sun
Min, MiSun, MS114, 1:30 Sun
Ming, Ju, MS282, 3:15 Wed
Minion, Michael, MS237, 4:50 Tue
Minkoff, Susan E., MS88, 9:10 Sun
Minkoff, Susan E., MS88, 9:10 Sun
Minkoff, Susan E., MS113, 1:30 Sun
Minkoff, Susan E., MS140, 9:10 Mon
Minkoff, Susan E., MS166, 1:30 Mon
Minkoff, Susan E., MS192, 10:00 Tue
Minkoff, Susan E., MS216, 2:15 Tue
Miras, Thomas, CP17, 9:25 Wed
Misra, Satyajayant, MS192, 10:50 Tue
Mitchell, Donna, MS216, 3:30 Tue
Mitchell, John A., PP15, 4:30 Mon
Mitchell, Lawrence, MS207, 11:15 Tue
Mitchell, William F., PP2, 4:30 Sun
Mitchell, William F., CP26, 9:25 Wed
Mitrano, Arthur, MS126, 2:45 Sun
Moe, Scott, PP10, 4:30 Mon
Mohamed, Mamdouh S., PP9, 4:30 Mon
Mohammad, Zakerzadeh, MS150, 9:35 Mon
Mohseni, Kamran, MS30, 3:40 Sat
Molavi Tabrizi, Amirhossein, PP7, 4:30 Sun
Mattis, Steven, MS84, 9:10 Sun
Mattis, Steven, MS109, 1:30 Sun
Mattis, Steven, MS109, 1:30 Sun
Maxey, Martin, PP104, 4:30 Sun
May, Dave A., MS155, 10:00 Mon
May, Elebeoba, MS13, 10:15 Sat
May, Elebeoba, MS39, 2:25 Sat
May, Sandra, MS157, 1:55 Mon
Mayo, Talea, MS166, 1:30 Mon
Mayo, Talea, MS166, 2:45 Mon
McClarren, Ryan G., MS19, 10:15 Sat
McClarren, Ryan G., MS45, 2:25 Sat
McClarren, Ryan G., MS70, 4:35 Sat
McClarren, Ryan G., MS95, 9:10 Sun
McClarren, Ryan G., MS120, 1:30 Sun
McClarren, Ryan G., PP105, 4:30 Sun
McClarren, Ryan G., MS147, 9:10 Mon
McClarren, Ryan G., MS173, 1:30 Mon
McClarren, Ryan, MS199, 10:00 Tue
McClarren, Ryan, MS223, 2:15 Tue
McCulloch, Andrew D., MS26, 10:15 Sat
McDonald, Eleanor, MS229, 3:30 Tue
McDonald, James, MS248, 5:15 Tue
Mcdougall, Damon, MS109, 2:20 Sun
McGraw, Carolyn, PP105, 4:30 Sun
Mcgregor, Duncan A., CP15, 9:10 Wed
McInnes, Lois Curfman, MS112, 1:30 Sun
McInnes, Lois Curfman, MS112, 1:30 Sun
McInnes, Lois Curfman, MS131, 9:10 Mon
McInnes, Lois Curfman, MS131, 10:00 Mon
McInnes, Lois Curfman, MS247, 4:25 Tue
McInnes, Lois Curfman, MS247, 4:25 Tue
Mead, Jodi, MS170, 2:45 Mon
Medina, David, PP106, 4:30 Sun
Medina, Francis P., MS88, 10:25 Sun
Medvinsky, Michael, MS36, 2:50 Sat
Mehl, Miriam, PP14, 4:30 Mon
Meidani, Hadi, CP5, 9:55 Wed
Meister, Oliver, MS270, 10:55 Wed
Meixner, Jessica, MS230, 3:30 Tue
Meng, Xiong, MS23, 11:30 Sat
Menhorn, Friedrich, PP5, 4:30 Sun
Maischak, Matthias, MS278, 11:20 Wed
Malhotra, Dhairya, MS177, 2:45 Mon
Mandli, Kyle T., MS102, 9:35 Sun
Mandli, Kyle T., MS270, 10:55 Wed
Mandli, Kyle T., MS294, 2:00 Wed
Mang, Andreas, MS214, 2:15 Tue
Mang, Andreas, MS214, 3:30 Tue
Mang, Andreas, MS239, 4:25 Tue
Mannan, Forest O., PP1, 4:30 Sun
Manning, Cammey Cole, PD0, 6:30 Sat
Manning, Cammey Cole, PD0, 8:30 Sat
Mansour, Hassan, MS224, 2:40 Tue
Manteuffel, Thomas, MS85, 9:10 Sun
Manteuffel, Thomas, MS110, 1:30 Sun
Manteuffel, Thomas, MS110, 1:30 Sun
Manteuffel, Thomas, MS137, 9:10 Mon
Manzini, Gianmarco, PP202, 4:30 Mon
Manzoni, Andrea, MS148, 9:10 Mon
Manzoni, Andrea, MS148, 9:10 Mon
Manzoni, Andrea, MS174, 1:30 Mon
Mardal, Kent-Andre, MS229, 2:15 Tue
Mardal, Kent-Andre, MS252, 4:25 Tue
Marquardt, Wolfgang, PD3, 12:15 Mon
Marques, Osni A., MS63, 4:35 Sat
Marques, Osni A., MS258, 10:55 Wed
Marques, Osni A., MS283, 2:00 Wed
Marshall, David, PD5, 12:45 Tue
Martin, Daniel, MS46, 2:25 Sat
Martin, Eileen R., PP14, 4:30 Mon
Martinsson, Gunnar, MS203, 10:25 Tue
Martinsson, Gunnar, MS291, 2:25 Wed
Mary, Theo, CP4, 9:55 Wed
Marzouk, Youssef M., MS8, 10:15 Sat
Marzouk, Youssef M., MS34, 2:25 Sat
Marzouk, Youssef M., MS59, 4:35 Sat
Marzouk, Youssef M., MS132, 9:35 Mon
Marzouk, Youssef M., MS183, 10:00 Tue
Masse, Danielle D., PP4, 4:30 Sun
Mathelin, Lionel, MS55, 5:25 Sat
Matthews, Christopher, MS259, 11:45 Wed
Matthies, Hermann, MS56, 4:35 Sat
Matthysen, Roel, PP11, 4:30 Mon
194 2015 SIAM Conference on Computational Science and Engineering
Nguyen, Thien Binh, MS293, 2:25 Wed
Nicholls, David P., MS18, 10:15 Sat
Nicholls, David P., MS44, 2:25 Sat
Nicholls, David P., MS44, 3:40 Sat
Nielsen, Eric, MS86, 10:25 Sun
Nobile, Fabio, MS106, 1:30 Sun
Nordaas, Magne, MS252, 5:15 Tue
Norton, Richard A., PP5, 4:30 Sun
Nourgaliev, Robert, MS220, 2:40 Tue
Nouy, Anthony, MS264, 11:45 Wed
OO’Connell, Meghan, MS143, 10:25 Mon
Oden, J. Tinsley, PD3, 12:15 Mon
Oesper, Layla, MS125, 1:55 Sun
Ohi, Yoshiharu, PP10, 4:30 Mon
Ohshima, Satoshi, MS43, 3:15 Sat
Okamoto, Naoya, PP9, 4:30 Mon
O’Leary, Patrick, MT2, 4:30 Mon
O’Leary, Patrick, PD1, 12:15 Sat
Olivares, Nicole, MS119, 2:34 Sun
Oliver, Todd, MS139, 9:10 Mon
Oliver, Todd, MS165, 1:30 Mon
Oliver, Todd, MS161, 2:45 Mon
Olson, Luke, PP205, 4:30 Mon
Olson, Luke, MS254, 4:25 Tue
Olson, Luke, MS254, 4:25 Tue
Olson, Sarah D., MS99, 10:00 Sun
Olvera De La Cruz, Monica, MS40, 2:50 Sat
Ommen, Jürgen, PP11, 4:30 Mon
O’Neill, Ben, MS286, 3:15 Wed
O’Neill, Kristin, MS21, 10:15 Sat
O’Neill, Kristin, MS47, 2:25 Sat
O’Neill, Kristin, MS72, 4:35 Sat
Onwunta, Akwum, MS252, 5:40 Tue
Opsomer, Peter, PP10, 4:30 Mon
Orban, Dominique, MS9, 10:15 Sat
Orban, Dominique, MS9, 11:05 Sat
Orban, Dominique, MS35, 2:25 Sat
Ortan, Alexandra, PP14, 4:30 Mon
Osborn, Sarah, MS138, 10:25 Mon
Oseledets, Ivan, MS224, 3:05 Tue
Osher, Stanley J., MS2, 11:05 Sat
Najm, Habib N., MS161, 1:30 Mon
Nakajima, Kengo, MS17, 10:15 Sat
Nakajima, Kengo, MS17, 10:40 Sat
Nakajima, Kengo, MS43, 2:25 Sat
Nakajima, Kengo, MS68, 4:35 Sat
Nance, James, PP6, 4:30 Sun
Narayan, Akil, MS191, 11:15 Tue
Narayanan, Sri Hari Krishn, MS190, 10:00 Tue
Narayanan, Sri Hari Krishn, MS190, 10:00 Tue
Narcowich, Francis J., MS50, 2:50 Sat
Nashed, Youssef, PP14, 4:30 Mon
Naumov, Maxim, MS163, 2:45 Mon
Nave, Jean-Christophe, MS66, 4:35 Sat
Navon, Ionel M., MS168, 1:30 Mon
Navon, Ionel M., MS168, 1:30 Mon
Navon, Ionel M., MS194, 10:00 Tue
Navon, Ionel M., MS218, 2:15 Tue
Navon, Ionel M., MS243, 4:25 Tue
Navon, Ionel M., MS267, 10:55 Wed
Navon, Ionel M., MS292, 2:00 Wed
Neckel, Tobias, MS34, 2:50 Sat
Neckel, Tobias, MS80, 9:10 Sun
Neckel, Tobias, MS105, 1:30 Sun
Nedich, Angelia, MS104, 1:30 Sun
Negri, Federico, MS174, 1:30 Mon
Neilan, Michael J., PP207, 4:30 Mon
Nemati Hayati, Arash, PP206, 4:30 Mon
Nemec, Marian, MS205, 10:50 Tue
Nestler, Franziska, CP20, 9:40 Wed
Neupane, Prapti, CP23, 9:55 Wed
Newman, Chris, MS147, 10:00 Mon
Nguyen, Cuong, MS62, 4:35 Sat
Nguyen, Cuong, MS87, 9:10 Sun
Nguyen, Cuong, MS87, 9:10 Sun
Nguyen, Hoa, MS13, 10:15 Sat
Nguyen, Hoa, MS16, 10:15 Sat
Nguyen, Hoa, MS16, 10:15 Sat
Nguyen, Hoa, MS39, 2:25 Sat
Nguyen, Hoa, MS42, 2:25 Sat
Nguyen, Hoang-Ngan, MS22, 10:15 Sat
Nguyen, Hoang-Ngan, MS22, 10:15 Sat
Molzahn, Daniel, MS269, 11:20 Wed
Monk, Peter B., MS278, 12:10 Wed
Morales Escalante, Jose A., CP12, 9:40 Wed
Morel, Jim E., MS156, 1:55 Mon
Morii, Youhi, PP14, 4:30 Mon
Morikuni, Keiichi, MS275, 11:20 Wed
Morlighem, Mathieu, MS71, 5:00 Sat
Morrisey, Thomas, PP15, 4:30 Mon
Morrison, Rebecca, MS74, 5:25 Sat
Morrison, Rebecca, MS166, 2:20 Mon
Morzfeld, Matthias, MS8, 10:15 Sat
Moser, Dieter, MS286, 2:00 Wed
Moser, Robert D., MS165, 1:30 Mon
Motamed, Mohammed, MS277, 11:45 Wed
Moulton, David, MS112, 2:20 Sun
Moxey, David, MS67, 5:50 Sat
Moxey, David, MS103, 9:10 Sun
Moxey, David, MS128, 1:30 Sun
Moxey, David, MS231, 3:05 Tue
Mu, Lin, MS265, 11:20 Wed
Mubayi, Anuj, MS192, 10:00 Tue
Mubayi, Anuj, MS192, 11:15 Tue
Mueller, Juliane, MS60, 4:35 Sat
Mueller, Juliane, MS60, 4:35 Sat
Müller, Benjamin, MS85, 9:10 Sun
Mundani, Ralf-Peter, MS294, 3:15 Wed
Munoz, Francisco, MS269, 10:55 Wed
Munson, Todd, MS269, 10:55 Wed
Münzenmaier, Steffen, MS110, 2:45 Sun
Murillo, Michael, MS199, 10:50 Tue
Müthing, Steffen, PP204, 4:30 Mon
Mycek, Paul, MS138, 9:10 Mon
Myers, Aaron, PP13, 4:30 Mon
Myers, Andrew, MS186, 10:00 Tue
Myers, Andrew, MS186, 11:15 Tue
Myers, Andrew, MS210, 2:15 Tue
NNadal-Quiros, Monica, PP12, 4:30 Mon
Nadarajah, Siva, MS98, 10:00 Sun
Nagy, James G., MS170, 2:20 Mon
Najm, Habib N., MS135, 9:10 Mon
Najm, Habib N., MS135, 9:10 Mon
2015 SIAM Conference on Computational Science and Engineering 195
Platte, Rodrigo B., MS180, 1:55 Mon
Plechac, Petr, MS164, 1:30 Mon
Plews, Julia A., PP14, 4:30 Mon
Polizzi, Eric, MS184, 10:00 Tue
Polizzi, Eric, MS209, 2:15 Tue
Polizzi, Eric, MS234, 4:25 Tue
Polizzi, Eric, MS273, 10:55 Wed
Polizzi, Eric, MS297, 2:00 Wed
Pollock, Sara, MS11, 11:05 Sat
Porcelli, Margherita, MS229, 2:40 Tue
Pothen, Alex, MS256, 10:55 Wed
Pothen, Alex, MS281, 2:00 Wed
Pothen, Alex, MS281, 2:25 Wed
Poulson, Jack L., MS12, 11:30 Sat
Poulson, Jack L., PP204, 4:30 Mon
Powell, Catherine, PP13, 4:30 Mon
Proctor, Joshua, MS2, 10:15 Sat
Proctor, Joshua, MS28, 2:25 Sat
Proctor, Joshua L., MS28, 2:25 Sat
Proctor, Joshua, MS53, 4:35 Sat
Proft, Jennifer, MS206, 10:00 Tue
Proft, Jennifer, MS230, 2:15 Tue
Proft, Jennifer, MS230, 2:15 Tue
Prokopenko, Andrey, CP8, 9:10 Wed
Pulch, Roland, MS183, 11:15 Tue
QQiu, Jingmei, MS19, 10:15 Sat
Qiu, Jingmei, MS45, 2:25 Sat
Qiu, Jingmei, MS70, 4:35 Sat
Qiu, Jingmei, MS89, 9:10 Sun
Qiu, Jingmei, MS95, 9:10 Sun
Qiu, Jingmei, MS120, 1:30 Sun
Qiu, Jingmei, MS114, 1:30 Sun
Qiu, Jingmei, PP105, 4:30 Sun
Qiu, Jingmei, MS147, 9:10 Mon
Qiu, Jingmei, MS173, 1:30 Mon
Qiu, Jingmei, MS199, 10:00 Tue
Qiu, Jingmei, MS223, 2:15 Tue
Qiu, Weifeng, MS62, 5:25 Sat
Qu, Zhilin, MS51, 2:25 Sat
Quaife, Bryan D., MS286, 2:25 Wed
Quenneville-Belair, Vincent, PP2, 4:30 Sun
Perego, Mauro, MS71, 5:25 Sat
Perego, Mauro, MS193, 10:00 Tue
Perego, Mauro, MS217, 2:15 Tue
Perego, Mauro, MS242, 4:25 Tue
Perez, Fernando, MS182, 11:15 Tue
Perez-Arancibia, Carlos A., MS18, 11:30 Sat
Perline, Kyle, PP13, 4:30 Mon
Persson, Per-Olof, MS123, 2:45 Sun
Pestana, Jennifer, MS83, 9:10 Sun
Pestana, Jennifer, MS108, 1:30 Sun
Pestana, Jennifer, MS108, 1:30 Sun
Peterka, Tom, MS255, 11:45 Wed
Peters, Bas, MS35, 2:25 Sat
Peters, Michael, MS185, 11:15 Tue
Peterson, Euguenia, PP15, 4:30 Mon
Peterson, Jacob, MS223, 3:30 Tue
Peterson, Kara, PP203, 4:30 Mon
Peterson, Kara, MS296, 3:15 Wed
Petiton, Serge G., MS17, 10:15 Sat
Petiton, Serge G., MS43, 2:25 Sat
Petiton, Serge G., MS68, 4:35 Sat
Petiton, Serge G., MS68, 4:35 Sat
Petra, Cosmin G., MS195, 11:15 Tue
Petra, Noemi, MS46, 2:25 Sat
Petra, Noemi, MS71, 4:35 Sat
Petra, Noemi, MS71, 5:50 Sat
Petzold, Linda R., SP1, 8:30 Sat
Petzold, Linda R., MS115, 2:45 Sun
Pfluger, Dirk, MS185, 10:50 Tue
Phillips, Cynthia, PD1, 12:15 Sat
Phillips, Edward, MS295, 2:50 Wed
Phillips, Jeff, PD4, 12:45 Tue
Phipps, Eric, PP106, 4:30 Sun
Phipps, Eric, MS138, 9:10 Mon
Phipps, Eric, MS138, 9:35 Mon
Phipps, Eric, MS164, 1:30 Mon
Pilosov, Michael, PP14, 4:30 Mon
Pinar, Ali, MS195, 10:00 Tue
Pinar, Ali, MS219, 2:15 Tue
Pippig, Michael, PP6, 4:30 Sun
Piret, Cecile M., MS24, 11:30 Sat
Piret, Cecile M., MS154, 10:25 Mon
Plank, Gernot, MS26, 11:30 Sat
Osting, Braxton, MS3, 10:15 Sat
Osting, Braxton, MS29, 2:25 Sat
Otten, Matthew, MS18, 11:05 Sat
Ouaknin, Gaddiel, CP1, 9:55 Wed
Owen, J. Michael, MS167, 4:25 Tue
Owhadi, Houman, IP7, 8:15 Tue
Oxberry, Geoffrey M., MS285, 2:25 Wed
Ozyilmaz, Emre, PP15, 4:30 Mon
PPain, Christopher, MS267, 11:45 Wed
Palacios, Francisco, MS302, 2:00 Wed
Pan, Wenxiao, PP104, 4:30 Sun
Pan, Wenxiao, MS193, 10:00 Tue
Pan, Wenxiao, MS193, 10:00 Tue
Pan, Wenxiao, MS217, 2:15 Tue
Pan, Wenxiao, MS242, 4:25 Tue
Panagiotou, Eleni, MS114, 1:30 Sun
Panda, Nishant, MS109, 1:55 Sun
Panda, Nishant, PP101, 4:30 Sun
Panoff, Robert M., MS232, 4:25 Tue
Panoff, Robert M., MS232, 4:25 Tue
Papadimitriou, Costas, MS158, 2:45 Mon
Park, Hyeongkae, MS173, 1:30 Mon
Parno, Matthew, PP13, 4:30 Mon
Parno, Matthew, MS215, 2:40 Tue
Pask, John, MS184, 10:50 Tue
Pasquale, Laura, PP14, 4:30 Mon
Pathmanathan, Pras, MS51, 3:40 Sat
Patra, Abani K., MS139, 9:10 Mon
Patra, Abani K., MS165, 1:30 Mon
Paul-Dubois-Taine, Arthur, MS30, 2:50 Sat
Pawlak, Wojciech, PP1, 4:30 Sun
Pawlowski, Roger, MS142, 10:00 Mon
Payne, Joshua, MS304, 2:25 Wed
Peherstorfer, Benjamin, MS4, 10:15 Sat
Peherstorfer, Benjamin, MS30, 2:25 Sat
Peherstorfer, Benjamin, MS55, 4:35 Sat
Peherstorfer, Benjamin, MS260, 12:10 Wed
Pellegrini, Francois, MS287, 2:00 Wed
Peña, Antonio J., MS235, 5:15 Tue
Peng, Jun, MS251, 4:50 Tue
peng, Zhangli, MS242, 4:50 Tue
196 2015 SIAM Conference on Computational Science and Engineering
Ruthotto, Lars, MS116, 1:30 Sun
Ruthotto, Lars, MS143, 9:10 Mon
Ruthotto, Lars, MS169, 1:30 Mon
Ruthotto, Lars, MS214, 3:05 Tue
Ruthotto, Lars, MS246, 4:25 Tue
Ruthotto, Lars, MS246, 4:50 Tue
Ruuth, Steven, MS237, 5:15 Tue
Ryan, Sarah M., MS219, 2:15 Tue
Ryckelynck, David, MS30, 3:15 Sat
Rycroft, Chris H., MS220, 3:30 Tue
SSaad, Tony, PP206, 4:30 Mon
Saad, Tony, MS304, 2:50 Wed
Saad, Yousef, MS68, 5:25 Sat
Saad, Yousef, MS273, 10:55 Wed
Saad, Yousef, MS297, 2:00 Wed
Sachs, Ekkehard W., MS91, 10:00 Sun
Sachse, Frank B., MS26, 10:15 Sat
Sachse, Frank B., MS26, 10:40 Sat
Sachse, Frank B., MS51, 2:25 Sat
Sadanand, Chandrika, PP8, 4:30 Sun
Sadayappan, P, MS25, 11:30 Sat
Sadeghitohidi, Ana, PP11, 4:30 Mon
Sadek, Carol, MS146, 9:10 Mon
Sadre-Marandi, Farrah, PP10, 4:30 Mon
Safro, Ilya, MS226, 3:30 Tue
Safta, Cosmin, MS195, 10:00 Tue
Safta, Cosmin, MS195, 10:00 Tue
Safta, Cosmin, MS219, 2:15 Tue
Sahni, Onkar, MS201, 10:00 Tue
Sahni, Onkar, MS225, 2:15 Tue
Sahni, Onkar, MS225, 3:30 Tue
Saibaba, Arvind, MS5, 10:15 Sat
Saibaba, Arvind, MS5, 11:30 Sat
Saibaba, Arvind, MS31, 2:25 Sat
Sakkaplangkul, Puttha, PP10, 4:30 Mon
Salac, David, MS139, 9:10 Mon
Salac, David, MS139, 10:00 Mon
Salac, David, MS165, 1:30 Mon
Salgado, Abner J., MS48, 3:15 Sat
Ricketson, Lee F., MS223, 3:05 Tue
Ridzal, Denis, PP203, 4:30 Mon
Ridzal, Denis, MS274, 10:55 Wed
Rieger, Christian, MS126, 1:55 Sun
Ritter, Otto, MS117, 2:20 Sun
Rizzi, Francesco, MS160, 1:55 Mon
Roberts, Nathan, PP204, 4:30 Mon
Robinson, Allen C., MS156, 2:20 Mon
Rodrigo, Carmen, MS202, 11:15 Tue
Roe, Philip L., MS176, 1:30 Mon
Rogers, Ryan M., PP11, 4:30 Mon
Rognes, Marie E., MS207, 10:50 Tue
Rognes, Marie E., MS229, 2:15 Tue
Rognes, Marie E., MS252, 4:25 Tue
Rohrle, Oliver, MS85, 10:25 Sun
Roman, Bogdan, MS276, 12:10 Wed
Romero, Daniel, MS192, 10:00 Tue
Rossmanith, James A., MS271, 10:55 Wed
Rossmanith, James A., MS271, 10:55 Wed
Rossmanith, James A., MS295, 2:00 Wed
Rostami, Minghao W., PP9, 4:30 Mon
Rouet, Francois-Henry, MS291, 2:50 Wed
Rowley, Clarence, MS260, 11:20 Wed
Rozza, Gianluigi, MS168, 2:45 Mon
Rozza, Gianluigi, MS187, 10:00 Tue
Rozza, Gianluigi, MS187, 10:00 Tue
Rozza, Gianluigi, MS211, 2:15 Tue
Rozza, Gianluigi, MS236, 4:25 Tue
Rozza, Gianluigi, MS260, 10:55 Wed
Rozza, Gianluigi, MS285, 2:00 Wed
Rudi, Johann, PP9, 4:30 Mon
Ruede, Ulrich J., MS80, 9:10 Sun
Ruede, Ulrich J., MS105, 1:30 Sun
Ruede, Ulrich J., MS131, 9:10 Mon
Ruede, Ulrich J., MS131, 9:10 Mon
Ruede, Ulrich J., MS197, 10:00 Tue
Ruede, Ulrich J., MS221, 2:15 Tue
Rukavishnikov, Viktor, CP19, 9:10 Wed
Runborg, Olof, MS301, 3:15 Wed
Rupard, Morgan, PP14, 4:30 Mon
Rupp, Karl, PP204, 4:30 Mon
Ruthotto, Lars, MS91, 9:10 Sun
RRabidoux, Scott, PP14, 4:30 Mon
Rachh, Manas, MS177, 1:55 Mon
Radunskaya, Ami, MS113, 1:30 Sun
Radunskaya, Ami, MS113, 2:45 Sun
Ragan-Kelley, Min, PP204, 4:30 Mon
Raghavan, Padma, PD3, 12:15 Mon
Ragusa, Jean C., PP2, 4:30 Sun
Ragusa, Jean C., MS284, 2:25 Wed
Rai, Prashant, MS213, 3:05 Tue
Rajamanickam, Siva, MS141, 9:35 Mon
Rajamanickam, Siva, MS200, 10:00 Tue
Rajamanickam, Siva, MS250, 4:25 Tue
Ramachandran, Prabhu, MS126, 2:20 Sun
Raman, Barani, MS54, 5:25 Sat
Ramet, Pierre, MS145, 9:10 Mon
Rana, Anirudh Singh, MS248, 5:40 Tue
Ranjan, Harsh, PP9, 4:30 Mon
Rappoport, Juri M., PP14, 4:30 Mon
Rastigejev, Yevgenii, CP24, 9:25 Wed
Ratnaswamy, Vishagan, PP13, 4:30 Mon
Rave, Stephan, MS236, 4:25 Tue
Ravindran, S.S., MS148, 10:00 Mon
Ray, Jaideep, MS161, 2:20 Mon
Ray, Navamita, MS97, 9:35 Sun
Reeves, Daniel B., PP12, 4:30 Mon
Reid, Andrew, PP14, 4:30 Mon
Reinarz, Anne, MS119, 1:46 Sun
Relton, Samuel, PP11, 4:30 Mon
Renaut, Rosemary A., MS31, 3:40 Sat
Rennich, Steven C., MS163, 1:30 Mon
Rennich, Steven C., MS163, 1:30 Mon
Resch, Michael, MS118, 1:55 Sun
Reshniak, Viktor, CP22, 9:55 Wed
Restrepo, Juan M., MS218, 3:05 Tue
Rey, Thomas, MS173, 2:20 Mon
Reynolds, Daniel R., MS175, 2:20 Mon
Rhebergen, Sander, MS155, 9:10 Mon
Rhebergen, Sander, MS155, 9:10 Mon
Rhebergen, Sander, MS181, 1:30 Mon
Richfield, Owen, PP9, 4:30 Mon
Ricketson, Lee F., PP10, 4:30 Mon
2015 SIAM Conference on Computational Science and Engineering 197
Shankar, Varun, MS75, 4:35 Sat
Shankar, Varun, MS101, 9:10 Sun
Shankar, Varun, MS126, 1:30 Sun
Shao, Meiyue, MS61, 4:35 Sat
Shao, Meiyue, MS61, 5:50 Sat
Shashkov, Mikhail, MS156, 1:30 Mon
Shashkov, Mikhail, MS156, 1:30 Mon
Shashkov, Mikhail, MS167, 4:25 Tue
Shen, Han-Wei, MS255, 10:55 Wed
Shen, Han-Wei, MS255, 12:10 Wed
Shen, Jiguang, MS62, 5:00 Sat
Shephard, Mark S., MS97, 9:10 Sun
Shephard, Mark S., MS121, 1:30 Sun
Sherwin, Spencer, MS103, 9:10 Sun
Sherwin, Spencer, MS128, 1:30 Sun
Sherwin, Spencer, MS150, 9:10 Mon
Shiflet, Angela B., MS232, 4:25 Tue
Shiflet, George W., MS232, 4:50 Tue
Shinar, Tamar, MS122, 2:20 Sun
Shirokoff, David, MS41, 2:25 Sat
Shirokoff, David, MS41, 3:15 Sat
Shirokoff, David, MS66, 4:35 Sat
Shoemaker, Christine A., MS60, 4:35 Sat
Shoemaker, Christine A., MS60, 5:50 Sat
Shu, Chi-Wang, MS157, 2:20 Mon
Shumlak, Uri, MS271, 12:10 Wed
Siebenborn, Martin, MS229, 3:05 Tue
Siefert, Christopher, PP203, 4:30 Mon
Silva, Claudio T., MS255, 10:55 Wed
Sime, Nathan, CP3, 9:10 Wed
Simons, Julie, MS113, 2:20 Sun
Simpson, Olivia, PP3, 4:30 Sun
Slattery, Stuart, MS210, 2:15 Tue
Slaughter, Andrew, MS259, 10:55 Wed
Slaughter, Andrew, MS284, 2:00 Wed
Slepcev, Dejan, MS29, 2:50 Sat
Sloan, Ian H., MS159, 1:30 Mon
Slota, George, MS250, 5:40 Tue
Smetana, Kathrin, CP18, 10:10 Wed
Smith, Cameron, MS97, 9:10 Sun
Smith, Cameron, MS121, 1:30 Sun
Sayas, Francisco J. J., MS278, 10:55 Wed
Sayas, Francisco J. J., MS303, 2:00 Wed
Saye, Robert, MS130, 9:35 Mon
Schärer, Roman P., PP105, 4:30 Sun
Schatz, Martin D., MS25, 10:15 Sat
Schatz, Martin D., MS25, 10:15 Sat
Schiavazzi, Daniele E., MS189, 11:15 Tue
Schilders, Wil, PD0, 8:30 Sat
Schlottbom, Matthias, MS19, 11:05 Sat
Schmidt, John A., MS129, 9:10 Mon
Schmidt, Kathleen, MS135, 10:25 Mon
Schneider, Kai, MS41, 2:50 Sat
Schneider, Reinhold, MS56, 5:25 Sat
Schofield, Elizabeth, MS222, 2:40 Tue
Schroder, Jacob B., MS261, 10:55 Wed
Schroder, Jacob B., MS261, 11:20 Wed
Schroder, Jacob B., MS286, 2:00 Wed
Schroeder, Chris, MS201, 10:50 Tue
Schroeder, Will, IP6, 11:20 Mon
Schulthess, Thomas C., MS12, 10:40 Sat
Schulthess, Thomas C., MS118, 1:30 Sun
Schulz, Martin, MS82, 10:25 Sun
Schulz, Volker H., MS69, 5:00 Sat
Schwab, Christoph, MS81, 9:35 Sun
Schwab, Christoph, MS215, 2:15 Tue
Schwartz, Fernando, PP4, 4:30 Sun
Schwartz, Fernando, CP26, 9:55 Wed
Schwendeman, Donald W., MS32, 3:40 Sat
Scovazzi, Guglielmo, MS57, 5:25 Sat
Seal, David C., MS120, 2:20 Sun
Sego, Landon H., MS54, 4:35 Sat
Sego, Landon H., MS54, 4:35 Sat
Seibold, Benjamin, MS70, 5:00 Sat
Seidel, Ed, PD3, 12:15 Mon
Semiyari, Hamid, PP10, 4:30 Mon
Sen, Arindam, PP9, 4:30 Mon
Senter, Michael, MS172, 2:34 Mon
Seol, E. Seegyoung, MS97, 10:25 Sun
Shankar, Sadasivan, MS65, 5:00 Sat
Shankar, Varun, MS24, 10:15 Sat
Shankar, Varun, MS24, 10:40 Sat
Shankar, Varun, MS50, 2:25 Sat
Salgado, Abner J., MS178, 1:55 Mon
Salinger, Andrew, MS225, 2:40 Tue
Salles, Nicolas, MS278, 10:55 Wed
Salles, Nicolas, MS278, 10:55 Wed
Salles, Nicolas, MS303, 2:00 Wed
Salomon, Julien, MS236, 4:50 Tue
Saltzman, Jeffrey, PD1, 12:15 Sat
Saltzman, Jeffrey, MS92, 9:10 Sun
Saltzman, Jeffrey, MS92, 9:10 Sun
Saltzman, Jeffrey, MS117, 1:30 Sun
Samatova, Nagiza, IP1, 9:00 Sat
Samulyak, Roman, CP23, 9:40 Wed
Sanchez-Uribe, Manuel A., PP203, 4:30 Mon
Sanchez-Uribe, Manuel A., MS282, 2:50 Wed
Sanchez-Vizuet, Tonatiuh, MS303, 2:00 Wed
Sandu, Adrian, MS136, 9:10 Mon
Sandu, Adrian, MS136, 9:10 Mon
Sandu, Adrian, MS168, 1:30 Mon
Sandu, Adrian, MS162, 1:30 Mon
Sandu, Adrian, MS194, 10:00 Tue
Sandu, Adrian, MS188, 10:00 Tue
Sandu, Adrian, MS218, 2:15 Tue
Sandu, Adrian, MS212, 2:15 Tue
Sandu, Adrian, MS243, 4:25 Tue
Sandu, Adrian, MS237, 4:25 Tue
Sandu, Adrian, MS267, 10:55 Wed
Sandu, Adrian, MS292, 2:00 Wed
Santosa, Fadil, MS44, 2:25 Sat
Saraswat, Jyoti, CP14, 9:10 Wed
Sargsyan, Khachik, MS135, 9:10 Mon
Sargsyan, Khachik, MS161, 1:30 Mon
Sargsyan, Khachik, MS189, 10:00 Tue
Sargsyan, Khachik, MS213, 2:15 Tue
Sargsyan, Khachik, MS238, 4:25 Tue
Sargsyan, Khachik, MS264, 11:20 Wed
Sariaydin, Selin, MS169, 1:55 Mon
Saunders, Michael A., MS35, 3:15 Sat
Sayadi, Taraneh, MS86, 9:10 Sun
Sayas, Francisco J. J., MS208, 3:05 Tue
198 2015 SIAM Conference on Computational Science and Engineering
Sutton, Oliver, PP202, 4:30 Mon
Svyatskiy, Daniil, PP2, 4:30 Sun
Swiler, Laura, MS164, 2:20 Mon
Sylvand, Guillaume, MS171, 2:45 Mon
Szyld, Daniel B., CP25, 9:10 Wed
TTaddei, Tommaso, MS285, 2:50 Wed
Taitano, William T., PP105, 4:30 Sun
Taitano, William T., MS199, 11:15 Tue
Takahashi, Daisuke, MS283, 2:50 Wed
Takaki, Nick, PP14, 4:30 Mon
Takaki, Tomohiro, MS124, 2:45 Sun
Takhtaganov, Timur, MS298, 2:50 Wed
Takizawa, Hiroyuki, MS258, 12:10 Wed
Talnikar, Chaitanya, MS111, 2:45 Sun
Tamellini, Lorenzo, MS215, 3:05 Tue
Tang, Hansong, CP16, 9:55 Wed
Tang, Qi, MS204, 10:00 Tue
Tang, Qi, MS228, 2:15 Tue
Tang, Qi, MS251, 4:25 Tue
Tang, Qi, MS271, 10:55 Wed
Tang, Qi, MS271, 11:45 Wed
Tang, Qi, MS295, 2:00 Wed
Tanguy, Sebastien, MS245, 4:50 Tue
Tani, Mattia, MS83, 10:25 Sun
Tartakovsky, Alexander, MS193, 11:15 Tue
Tausch, Johannes, MS278, 11:45 Wed
Teckentrup, Aretha, MS133, 9:35 Mon
Temam, Roger M., MS268, 10:55 Wed
Tempone, Raul F., MS191, 10:50 Tue
Tendulkar, Saurabh, MS121, 1:30 Sun
ter Maten, E. Jan W., MS162, 2:20 Mon
Teran, Joseph, MS196, 10:50 Tue
Teranishi, Keita, MS82, 9:10 Sun
Teranishi, Keita, MS107, 1:30 Sun
Teranishi, Keita, MS134, 9:10 Mon
Teranishi, Keita, MS160, 1:30 Mon
Terashima, Hiroshi, PP9, 4:30 Mon
Terejanu, Gabriel, MS139, 9:35 Mon
Terrasse, Isabelle, MS151, 10:25 Mon
Stefanescu, Razvan, MS168, 1:30 Mon
Stefanescu, Razvan, MS168, 1:55 Mon
Stefanescu, Razvan, MS194, 10:00 Tue
Stefanescu, Razvan, MS218, 2:15 Tue
Stefanescu, Razvan, MS243, 4:25 Tue
Stefanescu, Razvan, MS267, 10:55 Wed
Stefanescu, Razvan, MS292, 2:00 Wed
Steffen, Kyle R., MS10, 11:05 Sat
Stein, David, MS122, 1:55 Sun
Steiner, Johannes, MS79, 9:10 Sun
Steiner, Johannes, MS79, 9:10 Sun
Steinmetz, Philipp, PP15, 4:30 Mon
Sticko, Simon, MS36, 3:15 Sat
Still, Charles (Bert) H., MS279, 10:55 Wed
Still, Charles (Bert) H., MS304, 2:00 Wed
Stinchcombe, Adam, MS96, 10:25 Sun
Stinis, Panos, PP104, 4:30 Sun
Stobb, Michael T., CP20, 9:55 Wed
Stogner, Roy, MS165, 1:55 Mon
Stoyanov, Miroslav, MS134, 10:00 Mon
Strogies, Nikolai, PP15, 4:30 Mon
Strogies, Nikolai, CP14, 9:55 Wed
Stronz, James A., MS146, 9:42 Mon
Strzodka, Robert, MS221, 3:30 Tue
Sudret, Bruno, MS189, 10:00 Tue
Sun, Andy, MS219, 2:40 Tue
Sun, Pengtao, MS37, 2:50 Sat
Sundahl, Bryan E., PP14, 4:30 Mon
Sundar, Hari, MS62, 4:35 Sat
Sundar, Hari, MS62, 4:35 Sat
Sundar, Hari, MS87, 9:10 Sun
Sundnes, Joakim, MS76, 4:35 Sat
Sundnes, Joakim, MS76, 4:35 Sat
Surowiec, Thomas M., MS298, 2:00 Wed
Sussman, Daniel L., MS125, 2:20 Sun
Sussman, Mark, MS196, 10:00 Tue
Sussman, Mark, MS220, 2:15 Tue
Sussman, Mark, MS245, 4:25 Tue
Sussman, Mark, MS245, 4:25 Tue
Sutherland, James C., MS20, 11:05 Sat
Sutherland, James C., MS129, 10:25 Mon
Smith, Cameron, PP103, 4:30 Sun
Smith, Cameron, MS200, 10:00 Tue
Smith, Ralph C., MS33, 3:15 Sat
Smith, Ralph C., PD5, 12:45 Tue
Soane, Ana Maria, CP14, 9:25 Wed
Socha, Katherine, MS280, 2:50 Wed
Sockwell, Chad, PP15, 4:30 Mon
Solonen, Antti, MS33, 2:50 Sat
Somayajula, Sangeetha, MS117, 1:55 Sun
Sorensen, Danny C., MS28, 3:15 Sat
Sosonkina, Masha, MS61, 5:00 Sat
Sousedik, Bedrich, MS264, 12:10 Wed
Spantini, Alessio, MS8, 11:30 Sat
Spector, Michael, MS299, 2:00 Wed
Spector, Michael, MS299, 2:25 Wed
Spencer, Benjamin, MS259, 12:10 Wed
Spicer, Amy, MS94, 9:42 Sun
Spiller, Elaine, MS165, 2:45 Mon
Spiteri, Raymond J., MS136, 9:10 Mon
Spiteri, Raymond J., MS162, 1:30 Mon
Spiteri, Raymond J., MS188, 10:00 Tue
Spiteri, Raymond J., MS212, 2:15 Tue
Spiteri, Raymond J., MS237, 4:25 Tue
Spiteri, Raymond J., MS237, 4:25 Tue
Springer, Daryl J., MS50, 3:40 Sat
Srinivasan, S, PP11, 4:30 Mon
Stadler, Georg, MS8, 10:15 Sat
Stadler, Georg, MS46, 2:25 Sat
Stadler, Georg, MS34, 2:25 Sat
Stadler, Georg, MS71, 4:35 Sat
Stadler, Georg, MS59, 4:35 Sat
Stadler, Georg, MS59, 4:35 Sat
Stafford, Shane, MS284, 2:00 Wed
Starinshak, David, MS167, 4:50 Tue
Stark, Philip B., MS78, 9:10 Sun
Starke, Gerhard, MS85, 9:10 Sun
Starke, Gerhard, MS85, 9:35 Sun
Starke, Gerhard, MS110, 1:30 Sun
Starke, Gerhard, MS137, 9:10 Mon
Stathopoulos, Andreas, MS297, 2:50 Wed
Steck, Sebastian, MS174, 2:20 Mon
2015 SIAM Conference on Computational Science and Engineering 199
Van Straalen, Brian, PP103, 4:30 Sun
Van Straalen, Brian, MS200, 10:00 Tue
Van ‘t Wout, Elwin, MS303, 3:15 Wed
Vandereycken, Bart, MS224, 2:15 Tue
Vandereycken, Bart, MS224, 2:15 Tue
Vandereycken, Bart, MS249, 4:25 Tue
Varduhn, Vasco, CP11, 9:55 Wed
Vaughan, Courtenay T., CP11, 9:10 Wed
Vazquez-Gonzalez, Thibaud, PP1, 4:30 Sun
Vecharynski, Eugene, MS273, 11:45 Wed
Veerapaneni, Shravan, MS151, 10:00 Mon
Venkatasubramanian, Vaithianathan, MS256, 10:55 Wed
Venkatasubramanian, Vaithianathan, MS256, 10:55 Wed
Venkatasubramanian, Vaithianathan, MS281, 2:00 Wed
Vermeire, Brian C., MS98, 9:10 Sun
Vermeire, Brian C., MS123, 1:30 Sun
Vermeire, Brian C., MS123, 2:20 Sun
Vermeire, Brian C., MS150, 9:10 Mon
Vermeire, Brian C., MS176, 1:30 Mon
Veroy-Grepl, Karen, MS211, 3:30 Tue
Vervliet, Nico, MS249, 5:40 Tue
Vidal-Codina, Ferran, MS183, 10:50 Tue
Villa, Umberto E., MS164, 1:55 Mon
Vincent, Peter E., MS98, 9:10 Sun
Vincent, Peter E., MS98, 9:10 Sun
Vincent, Peter E., MS123, 1:30 Sun
Vincent, Peter E., MS150, 9:10 Mon
Vincent, Peter E., MS176, 1:30 Mon
Vishnampet, Ramanathan, PP9, 4:30 Mon
Vogelius, Michael S., MS65, 5:25 Sat
Vogl, Chris, MS257, 11:45 Wed
Vogman, Genia, CP12, 9:10 Wed
Vokt, Joseph, PP11, 4:30 Mon
Volfovsky, Alexander, PP13, 4:30 Mon
Vollmer, Charlie, PP5, 4:30 Sun
Voth, Gregory, PP104, 4:30 Sun
Vuduc, Richard, MS27, 3:15 Sat
Vuik, Kees, CP6, 9:25 Wed
Turcksin, Bruno, MS207, 10:25 Tue
Turkiyyah, George M., PP102, 4:30 Sun
Turner, Peter R., MS146, 9:10 Mon
Turner, Peter R., MS172, 1:30 Mon
Turner, Peter R., MS280, 2:00 Wed
Turner, Peter R., MS280, 2:00 Wed
UUdagedara, Indika G., MS144, 10:25 Mon
Uddameri, Elma A., MS216, 2:15 Tue
Uddameri, Elma A., MS216, 3:05 Tue
Udell, Madeleine R., PP11, 4:30 Mon
Uekermann, Benjamin, MS6, 11:05 Sat
Ufimtsev, Vladimir, MS125, 1:30 Sun
Ulbrich, Michael, MS252, 4:25 Tue
Ullmann, Sebastian, PP13, 4:30 Mon
Ullrich, Paul, MS272, 10:55 Wed
Ullrich, Paul, MS272, 10:55 Wed
Ullrich, Paul, MS296, 2:00 Wed
Uminsky, David T., MS140, 9:10 Mon
Uminsky, David T., MS140, 10:25 Mon
Urban, Karsten, MS236, 5:15 Tue
Urombo, Jack, PP10, 4:30 Mon
Uryasev, Stan, MS298, 2:25 Wed
VVaaland, Uno B., CP13, 9:40 Wed
Valeev, Edward F., MS25, 11:05 Sat
Valiathan, Chandni, MS92, 9:35 Sun
Van Bloemen Waanders, Bart G., PP14, 4:30 Mon
Van Bloemen Waanders, Bart G., MS244, 4:50 Tue
Van Bloemen Waanders, Bart G., MS274, 10:55 Wed
Van Bloemen Waanders, Bart G., MS298, 2:00 Wed
van Gennip, Yves, MS29, 3:40 Sat
Van Huffel, Sabine, IP8, 11:50 Tue
van Leeuwen, Tristan, MS35, 3:40 Sat
Van Loan, Charles, MS25, 10:40 Sat
Van Straalen, Brian, MS127, 1:55 Sun
Terrel, Andy R., MT2, 10:25 Mon
Terzi, Evamaria, MS1, 11:30 Sat
Tezaur, Radek, MS48, 2:50 Sat
Thompson, Terese, PP9, 4:30 Mon
Thornock, Jeremy, PP206, 4:30 Mon
Thornton, Anthony R., MS181, 1:30 Mon
Thrush, Brandon D., MS146, 9:58 Mon
Thurston, Courtney E., PP7, 4:30 Sun
Tian, Xiaochuan, PP10, 4:30 Mon
Tobin, William R., MS250, 4:25 Tue
Tokman, Mayya, MS136, 10:25 Mon
Tomov, Stanimire, MS12, 10:15 Sat
Tomov, Stanimire, MS38, 2:25 Sat
Tomov, Stanimire, MS63, 4:35 Sat
Tomov, Vladimir, MS279, 11:20 Wed
Tornberg, Anna-Karin, MS22, 10:40 Sat
Toroczkai, Zoltan, MS1, 11:05 Sat
Torrilhon, Manuel, MS19, 11:30 Sat
Toth, Alexander R., PP14, 4:30 Mon
Toth, Gyula I., CP7, 9:10 Wed
Townsend, Alex, MS180, 2:20 Mon
Tranquilli, Paul, MS136, 10:00 Mon
Trask, Nathaniel, MS193, 10:00 Tue
Trask, Nathaniel, MS217, 2:15 Tue
Trask, Nathaniel, MS217, 2:15 Tue
Trask, Nathaniel, MS242, 4:25 Tue
Traub, Thomas, MS303, 2:25 Wed
Treister, Eran, CP2, 9:55 Wed
Trout, Charlotte M., MS232, 5:40 Tue
Tryggvason, Gretar, MS52, 4:35 Sat
Tryggvason, Gretar, MS52, 4:35 Sat
Tsang, Alan Cheng Hou, MS96, 9:35 Sun
Tsilifis, Panagiotis, PP208, 4:30 Mon
Tu, Jonathan H., MS99, 9:10 Sun
Tu, Jonathan H., MS99, 9:35 Sun
Tu, Shuang Z., MS176, 2:20 Mon
Tu, Xuemin, MS290, 2:50 Wed
Tuma, Miroslav, MS275, 11:45 Wed
Tuncer, Ozan, MS262, 11:45 Wed
Turc, Catalin, MS18, 10:40 Sat
Turcksin, Bruno, PP106, 4:30 Sun
200 2015 SIAM Conference on Computational Science and Engineering
Wilson, Greg, MT3, 2:15 Tue
Wilson, Greg, MT4, 4:25 Tue
Wirkus, Stephen, MS88, 9:10 Sun
Wirkus, Stephen, MS113, 1:30 Sun
Wirkus, Stephen, MS140, 9:10 Mon
Wirkus, Stephen, MS166, 1:30 Mon
Wirkus, Stephen, MS192, 10:00 Tue
Wirkus, Stephen, MS216, 2:15 Tue
Witherden, Freddie, MS128, 2:45 Sun
Wittmann, Roland, MS273, 11:20 Wed
Wojciechowski, Keith, PP2, 4:30 Sun
Wolf, Michael, MS200, 11:15 Tue
Wolfson-Pou, Jordi, MS197, 10:25 Tue
Womeldorff, Geoff, CP11, 9:40 Wed
Wong, Christopher, MS94, 9:58 Sun
Wong, Elizabeth, MS179, 1:55 Mon
Wong, Kwai L., CP3, 9:40 Wed
Wong, Tony E., PP13, 4:30 Mon
Wong, Yau Shu, MS268, 12:10 Wed
Woodring, Jonathan, MT1, 12:10 Wed
Woodring, Jonathan, MT1, 9:10 Sun
Woodring, Jonathan, MT2, 1:30 Sun
Woodward, Carol S., PD0, 6:30 Sat
Woodward, Carol S., PP103, 4:30 Sun
Woodward, Carol S., MS142, 9:35 Mon
Woodward, Carol S., MS162, 2:45 Mon
Woodward, Paul R., MS279, 10:55 Wed
Woopen, Michael, MS87, 10:25 Sun
Wortmann, Daniel, MS184, 11:15 Tue
Wright, Grady B., MS24, 10:15 Sat
Wright, Grady B., MS50, 2:25 Sat
Wright, Grady B., MS75, 4:35 Sat
Wright, Grady B., MS101, 9:10 Sun
Wright, Grady B., MS126, 1:30 Sun
Wrobel, Jacek, MS282, 2:00 Wed
Wu, Lingfei, PP15, 4:30 Mon
Wu, Lingfei, CP25, 9:25 Wed
Wu, Yuqi, MS55, 4:35 Sat
XXiao, Feng, MS196, 10:00 Tue
Xiao, Feng, MS220, 2:15 Tue
Watson, Jean-Paul, MS195, 10:00 Tue
Watson, Jean-Paul, MS219, 2:15 Tue
Webster, Clayton G., MS81, 9:10 Sun
Webster, Clayton G., MS106, 1:30 Sun
Webster, Clayton G., MS106, 2:20 Sun
Webster, Clayton G., MS133, 9:10 Mon
Webster, Clayton G., MS159, 1:30 Mon
Webster, Clayton G., PP201, 4:30 Mon
Webster, Clayton G., MS185, 10:00 Tue
Wei, Ermin, MS104, 2:20 Sun
Wei, Qi-Huo, MS42, 3:15 Sat
Weile, Daniel, MS303, 2:50 Wed
Weinzierl, Tobias, MS270, 10:55 Wed
Weinzierl, Tobias, MS270, 12:10 Wed
Weinzierl, Tobias, MS294, 2:00 Wed
Weiser, Martin, MS79, 10:00 Sun
Weiss, Robert, MS270, 11:45 Wed
Weller, Hilary, MS130, 10:00 Mon
Wen, Ci, PP15, 4:30 Mon
Weng, Tsui-Wei, PP5, 4:30 Sun
Westerink, Joannes, MS206, 10:50 Tue
Whitaker, Ross, MS54, 5:00 Sat
White, Ryan, MS94, 10:30 Sun
Whitehead, Jared P., MS293, 2:00 Wed
Wild, Stefan, MS60, 5:25 Sat
Wildey, Tim, PP13, 4:30 Mon
Willcox, Karen E., MS53, 5:50 Sat
Willcox, Karen E., MS131, 9:10 Mon
Willcox, Karen E., MS131, 9:35 Mon
Willert, Jeffrey A., MS19, 10:15 Sat
Willert, Jeffrey A., MS45, 2:25 Sat
Willert, Jeffrey A., MS70, 4:35 Sat
Willert, Jeffrey A., MS95, 9:10 Sun
Willert, Jeffrey A., MS120, 1:30 Sun
Willert, Jeffrey A., PP105, 4:30 Sun
Willert, Jeffrey A., MS147, 9:10 Mon
Willert, Jeffrey A., MS173, 1:30 Mon
Willert, Jeffrey A., MS199, 10:00 Tue
Willert, Jeffrey A., MS223, 2:15 Tue
Wilson, Anastasia B., PP12, 4:30 Mon
Wilson, Greg, MT3, 4:30 Mon
Wilson, Greg, MT4, 4:30 Mon
WWachtel, Andreas, MS119, 2:50 Sun
Walker, Homer F., MS142, 10:25 Mon
Wall, Samuel, MS76, 4:35 Sat
Wall, Samuel, MS76, 5:50 Sat
Walsh, Scott, MS84, 10:00 Sun
Walther, Andrea, MS69, 4:35 Sat
Walther, Andrea, MS69, 5:50 Sat
Waluga, Christian, MS93, 9:35 Sun
Wang, Jialei, PP11, 4:30 Mon
Wang, Jianxun, CP13, 9:10 Wed
Wang, Junping, PP207, 4:30 Mon
Wang, Junping, MS290, 2:25 Wed
Wang, Kainan, MS8, 11:05 Sat
Wang, Li, MS70, 5:25 Sat
Wang, Lu, MS226, 3:05 Tue
Wang, Mengdi, MS104, 2:45 Sun
Wang, Pochuan, CP7, 9:25 Wed
Wang, Qing, PP12, 4:30 Mon
Wang, Qiqi, MS86, 9:10 Sun
Wang, Qiqi, MS111, 1:30 Sun
Wang, Qiqi, MS202, 10:50 Tue
Wang, Ting, PP13, 4:30 Mon
Wang, Weichung, MS283, 3:15 Wed
Wang, Yanqiu, MS290, 3:15 Wed
Wang, Yaohong, CP21, 9:10 Wed
Wang, Ying, MS114, 1:55 Sun
Wang, Yuhang, PP12, 4:30 Mon
Wang, Zhijun, PP12, 4:30 Mon
Warburton, Tim, MS43, 2:25 Sat
Warburton, Timothy, MS103, 10:25 Sun
Ward, Joseph, MS50, 2:25 Sat
Ward, Rachel, MS106, 2:45 Sun
Ward, Rachel, MS213, 3:30 Tue
Wasilkowski, Grzegorz W., MS81, 10:25 Sun
Wathen, Andrew J., MS155, 9:10 Mon
Wathen, Andrew J., MS181, 1:30 Mon
Wathen, Andy, MS83, 9:10 Sun
Wathen, Andy, MS83, 9:10 Sun
Wathen, Andy, MS108, 1:30 Sun
Watkins, Daniel, PP13, 4:30 Mon
Watson, Cody, MS172, 1:46 Mon
2015 SIAM Conference on Computational Science and Engineering 201
Zhang, Linan, MS172, 2:18 Mon
Zhang, Mengping, MS228, 2:15 Tue
Zhang, Qinghai, MS245, 5:40 Tue
Zhang, Shangyou, MS265, 11:45 Wed
Zhang, Shun, MS152, 9:10 Mon
Zhang, Shun, MS178, 1:30 Mon
Zhang, Shun, MS178, 2:45 Mon
Zhang, Weijian, MS246, 5:40 Tue
Zhang, Xiangxiong, MS49, 3:15 Sat
Zhang, Xu, MS152, 9:35 Mon
Zhang, Xu, MS282, 2:25 Wed
Zhang, Yanzhi, CP20, 9:25 Wed
Zhang, Yin, MS249, 5:15 Tue
Zhang, Yongtao, MS204, 10:00 Tue
Zhang, Zheng, PP5, 4:30 Sun
Zhang, Zheng, MS289, 3:15 Wed
Zhao, Lin, PP9, 4:30 Mon
Zheng, Mengdi, MS240, 4:50 Tue
zheng, Wen, MS220, 3:05 Tue
Zhong, Xinghui, MS49, 3:40 Sat
Zhou, Aihui, MS234, 4:25 Tue
Zhou, Beckett, MS302, 2:50 Wed
Zhou, Dong, CP18, 9:40 Wed
Zhou, Tao, MS189, 10:50 Tue
Zhou, Tao, MS240, 5:15 Tue
Zhou, Yongcheng, MS257, 11:20 Wed
Zhu, Anna, MS94, 10:14 Sun
Zhu, Hongyu, MS292, 2:25 Wed
Zhu, Xueyu, MS289, 2:25 Wed
Zhu, Yunrong, MS11, 10:15 Sat
Zhu, Yunrong, MS11, 10:15 Sat
Zhu, Yunrong, MS37, 2:25 Sat
Zimmermann, Ralf, MS30, 2:25 Sat
Zorin, Denis, MS227, 2:40 Tue
Zosso, Dominique, MS3, 10:15 Sat
Zosso, Dominique, MS29, 2:25 Sat
Zulehner, Walter, MS229, 2:15 Tue
Zupanski, Milija, MS243, 4:50 Tue
Zwicknagl, Barbara, MS101, 9:10 Sun
Yano, Masayuki, MS187, 10:25 Tue
Ye, Xiu, MS265, 10:55 Wed
Yetkin, Emrullah Fatih, MS134, 9:35 Mon
Yin, Wotao, MS104, 1:30 Sun
Yin, Wotao, MS104, 1:55 Sun
Ying, Lexing, MS27, 3:40 Sat
Yokota, Rio, MS177, 1:30 Mon
Yonkee, Nathan, CP3, 9:55 Wed
Yoo, Yeonjoo, PP12, 4:30 Mon
Yordanov, Pencho, PP208, 4:30 Mon
Yordanov, Pencho, CP5, 9:25 Wed
Yoshimura, Shinobu, IP3, 8:15 Sun
Younes, Laurent, MS214, 2:15 Tue
Yu, Haijun, MS64, 5:25 Sat
Yu, Hui, MS15, 11:30 Sat
Yu, Lijun, PP12, 4:30 Mon
Yu, Yue, MS57, 5:00 Sat
Yu, Yue, MS114, 2:45 Sun
Yue, Pengtao, CP21, 9:25 Wed
ZZabaras, Nicholas, MS191, 10:25 Tue
Zabaras, Nicholas, CP5, 9:10 Wed
Zabaras, Nicholas, CP13, 9:25 Wed
Zaharatos, Brian, MS58, 5:50 Sat
Zahr, Matthew J., MS4, 11:05 Sat
Zakerzadeh, Seyed Hamed, CP10, 9:10 Wed
Zander, Elmar, MS238, 5:40 Tue
Zavala, Victor, MS244, 4:25 Tue
Zeng, Xianyi, CP18, 9:55 Wed
Zepeda-Núñez, Leonardo, MS119, 1:30 Sun
Zhang, Fan, PP14, 4:30 Mon
Zhang, Guannan, MS81, 9:10 Sun
Zhang, Guannan, MS106, 1:30 Sun
Zhang, Guannan, MS133, 9:10 Mon
Zhang, Guannan, MS133, 10:25 Mon
Zhang, Guannan, MS159, 1:30 Mon
Zhang, Guannan, PP201, 4:30 Mon
Zhang, Guannan, MS185, 10:00 Tue
Zhang, Hong, MS141, 10:25 Mon
Zhang, Hong, MS212, 3:05 Tue
Zhang, Hongxuan, MS254, 5:40 Tue
Xiao, Feng, MS220, 2:15 Tue
Xiao, Feng, MS245, 4:25 Tue
Xie, Xiaoping, MS265, 12:10 Wed
Xin, Zixing, MS241, 5:15 Tue
Xing, Yulong, PP105, 4:30 Sun
Xing, Yulong, MS257, 10:55 Wed
Xiu, Dongbin, MS191, 10:00 Tue
Xiu, Dongbin, MS191, 10:00 Tue
Xiu, Dongbin, MS215, 2:15 Tue
Xiu, Dongbin, MS240, 4:25 Tue
Xiu, Dongbin, MS264, 10:55 Wed
Xiu, Dongbin, MS289, 2:00 Wed
Xu, Jinchao, PP104, 4:30 Sun
Xu, Kun, MS64, 5:00 Sat
Xu, Ling, MS114, 2:20 Sun
Xu, Xiaowen, CP8, 9:40 Wed
Xu, Yangyang, MS249, 4:50 Tue
Xu, Yuanwei, PP13, 4:30 Mon
Xu, Zhengfu, MS251, 4:25 Tue
Xu, Zhiliang, MS204, 10:50 Tue
Xu, Zhiliang, MS233, 4:50 Tue
YYakovlev, Sergey B., MS87, 9:35 Sun
Yamanaka, Akinori, MS124, 2:20 Sun
Yamazaki, Ichitaro, MS291, 3:15 Wed
Yan, Bokai, MS120, 2:45 Sun
Yan, Jue, MS233, 5:40 Tue
Yang, Chao, MS184, 10:00 Tue
Yang, Chao, MS209, 2:15 Tue
Yang, Chao, MS234, 4:25 Tue
Yang, He, MS49, 2:25 Sat
Yang, Ulrike M., PP103, 4:30 Sun
Yang, Ulrike M., MS149, 9:10 Mon
Yang, Ulrike M., MS175, 1:30 Mon
Yang, Ulrike Meier, MS149, 9:10 Mon
Yang, Xiu, MS189, 10:25 Tue
Yang, Yang, MS23, 10:15 Sat
Yang, Yang, MS49, 2:25 Sat
Yang, Yang, MS49, 2:50 Sat
Yang, Yong, PP2, 4:30 Sun
Yang, Zhang, CP7, 9:55 Wed
202 2015 SIAM Conference on Computational Science and Engineering
Notes
2015 SIAM Conference on Computational Science and Engineering 203
RevenueRegistration Income $463,255
Total $463,255
ExpensesPrinting $12,200Organizing Committee $6,500Invited Speakers $42,600Food and Beverage $148,700AV Equipment/ Room Rental and Telecommunication $92,000Advertising $12,000Conference Labor (including benefits) $101,710Professional Services (Recording / Mobile App / Child Care) $27,700Other (supplies, staff travel, freight, misc.) $11,000Administrative $46,042Accounting/Distribution & Shipping $24,551Information Systems $44,267Customer Service $16,720
Conference BudgetSIAM Conference on Computational Science & Engineering
March 14 - 18, 2015Salt Lake City, UT
Expected Paid Attendance: 1374
$ ,Marketing $26,262Office Space (Building) $16,611Other SIAM Services $17,544
$646,407
($183,152)
$183,152$0
Estimated Support for Travel Awards not included above:Early Career and Students 83 $54,750
Net Conference Expense:
Support Provided by SIAM:
Total:
The Calvin L. Rampton Salt Palace Convention Center Floor Plan
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