computational science & engineering meeting national needs steven f. ashby siag-cse chair march...
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Computational Science & Engineering
meeting national needs
Steven F. Ashby
SIAG-CSE Chair
March 24, 2003
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Computational science challenges arise in a variety of applications
Computational science is emerging as its own discipline
Simulation is becoming a peer to theory and experiment in the process of scientific discovery
Integration is the key—domain science expert—applied mathematician —computer scientist
Turbulence Fusion
Environment
Biology
Lasers
Materials
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Applied Mathand CS
Science and
EngineeringApplications
Computational Applied Math Domain Science
Science Computer Science Engineering+=
BiologyPhysicsChemistryEngineeringEnvironmental
Mathsparse linear solversnonlinear equationsdifferential eqnsmultilevel methodsAMR techniquesoptimizationeigenproblems
CSdata managementdata miningvisualizationprogram’g modelslanguages, OScompilers, debuggersarchitectural issues
Computational scientists bring applied mathematics and computer science capabilities to bear on challenging problems in science and engineering
Computational Science & Engineering is a team effort!
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Our focus has been on solving PDEs on increasingly finer meshes
Traditional supercomputing applications involve the solution of a PDE on a computational grid—computational fluid dynamics—oil reservoir and groundwater management—stockpile stewardship— ICF and MFE applications
Bigger machines and smarter algorithms have allowed more realistic simulations—Moore’s Law and massively parallel computers
have provided unprecedented computing power—scalable algorithms enable large-scale
simulations
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Imagine the future of computational science by looking at today’s challenges
Consider the process of scientific simulation—software development —problem definition and simulation setup—data analysis and understanding
There has been no equivalent of Moore’s Law for how we develop our software
Increasingly complex simulations often require months to set up and months to analyze the results
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Investment needed in several areas (illustrative, not exhaustive)
Multi-level methods for multi-scale problems
Rapid problem setup tools (mesh generation and discretization methods for complex geometries)
Flexible software frameworks and interoperable s/w components for rapid application development
Computer architectures & performance optimization
Information exploitation (data management, image analysis, info/data visualization, data mining)
Systems engineering to integrate simulation, sensors, and info analysis into a decision support capability
Discrete simulation (scenario planning)
Validation and Verification (coupling to experiments)
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This workshop is about shaping CS&E programs for federal funding agencies
We should focus on how CSE can benefit the nation—enhancing national & homeland security—promoting economic vitality and energy security— improving human health
We need to emphasize the multi-disciplinary nature of CS&E and its track record in delivering!—distinguish ourselves from constituent disciplines—need to do a better job of getting the word out!
Think big: $250M, multi-agency initiative!
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We have long-time and natural partners in the federal government
DOE has been long-time leader in CS&E—ASCI re-invigorated supercomputing —Office of Science is championing the cause with
its successful SciDAC initiative
NSF has long invested in IT and CS, and is beginning to think more about CS&E
DHS has pressing needs for help in simulation and information fusion
NIH should be a bigger player than it is, but there are serious cultural obstacles
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SIAM Activity Group promotes Computational Science & Engineering
SIAG-CSE established in Dec 2000 and already is largest SIAG with 800 members
Foster collaborations among applied mathematicians, computer scientists, domain scientists and engineers
Promote and facilitate Computational Science and Engineering as an academic discipline
Promote simulation as a peer to theory and experiment in the process of scientific discovery
Has sponsored two successful conferences
http://www.siam.org/siags/siagcse.htm