real world applications on massively parallel environments · •optimization in macroscopic...

Real World Applications on Massively Parallel Environments

YAMAZAKI, Takashi, Ph.D.

Application R&D Division

Next Generation Technical Computing Unit

Fujitsu Ltd. Copyright 2012 FUJITSU LIMITED

SC12 Nov. 10-16th, 2012

Contents of Presentation

Copyright 2012 FUJITSU LIMITED

Introduction

Industry: Electromagnetic field simulator

Environment: Tsunami simulator

Healthcare : Heart simulator

Conclusion

1

Introduction


Application Areas

Health care - aid diagnosis - personalized therapy - efficient drug trial

Industry - new product - new material - energy saving

Environment - prediction and prevention of disaster - prepare for and protect against disaster

Aims

Effective utilization of HPC

Broaden the possibilities of HPC

Practical applications

2


i. Design of Motor

ii. Efficiency Improvement of Magnet

Industry: Electromagnetic field simulator

3

Energy Saving Design of Motor

Motors consume almost half of the generated electric power

The same tendency is also observed globally


motor 56%

light 14%

heater 10%

IT 5%

other 15%

in Japan (2009, Fuji-Keizai)

570 TWh

Saving One thermal plant

1% more efficient

4

Coupling of Simulation of Two Scales


magnetization

-1

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

-100 -50 0 50 100

Magnetic Field (A/m)

Mx/M

s

hysteresis loop

weakly coupling

micro-magnetics hysteresis model （material property)

EM analysis: FEM （deformation & current）

Highly precise magnetic field analysis for design of products realized

FEM analysis result

5

Rare Earth Magnet Analysis

Magnetic reversal* process of rare earth magnet analyzed with 3-D micromagnetics simulation

8~10 nm


mesh size < 1nm

*magnetic reversal: the phenomenon which direction of magnetization reverses by direc-tion of an external magnetic field.

6


This whole project is a collaboration with Prof. Imamura of IRIDeS, Tohoku University

Environment: Tsunami simulator

7

Prevention of Tsunami Disaster


The Digital terrain data is provided by

GEO Technology Laboratory Co., Ltd.

Mar., 11th, 2011

M9 earthquake & historic tsunami

Over 19,000 victims

Target

Tsunami-proof design of buildings

Escape planning

Preliminarily enlightening on the danger

City planning

Tolerability of evacuation cites or public buildings

This movie is for the demonstration of the simulation technique,

not for prediction of actual tsunami damage.

8

For Safety Urban Planning


1. Calculation of wave stress

2. Inundation analysis w/o overdamping

Formulation of tsunami-proof intensity standard

Tsunami-proof design

Re-examination of dikes

Escape planning

Hazard analysis

Preliminarily enlightening on the danger

Tolerability of evacuation cite or public building

9

Breaking Wave on Surface


caseA4 W6

-1

-0.5

0

0.5

1

1.5

2

30 31 32 33 34 35 36

SPH 水槽実験

The time series of wave height matches the experimental data.

The source of the experimental data is Oki, Murakami, Mase (2002) Proc. Coast. Eng., 49, 41.

Surface motion at an artificial reef

wave breaking wave reforming

simulation

The hydraulic experime-nt is performed by Prof. Murakami of Univ. of Miyazaki.

10

Combination of 2-D & 3-D Simulations

Seamless 3-D simulation from the epicenter to an urban area


tsunami propagation. from epicenter inundation in urban areas

Shallow-water model (2-D) for broad area

SPH method (3-D) for small area

combine

tsunami simulator

Simulation performed by Porf. Imamura of Tohoku Univ. CG made by the collaboration with Bosai Tech Consultants.

The Digital terrain data is provided by GEO Technology Laboratory Co., Ltd.

10m 1km 100km

calculation of wave stress to buildings

11


This work is a collaboration with Prof. Hisada and Prof. Sugiura of the University of Tokyo and Fujitsu Limited

Healthcare: Heart simulator [UT-Heart]

12

For Personalized Therapy

CVD (cardiovascular disease)

One of the leading causes of death

Computer aided therapy

Personalized therapy

Efficient drug discovery

Copyright 2012 FUJITSU LIMITED 13

Multiscale & Multiphysics


Mu

ltip

hys

ics

mechanics

Bioelectricity

Biochemistry

cross bridge

Action

potential ECG

P-V loop

Tension

Glucose

glycolysis ATP

Lactate

sarcomere

Multiscale

molecule tissue organ human Cell

10-9m 10-4m 10-2m 100m

cardiac myocyte

K+ Na+ Ca++

Membrane

protein

14


Electrocardiogram (ECG)

Lead II ECG Cardiac Excitation

Comparison of ECG measurement between heart simulator and human heart

simulated

Potential Distribution on torso surface

observed

15

Ventriculoplasty

Virtual surgical treatment


EF: Ejection Fraction. EF represents the strength of pumping function of heart. Defined as (end-diastolic volume – end-systolic volume) / (end-diastolic volume).

Diseased heart Virtual operation Following virtual therapy

40 60 80 100 120 1400

5

10

：large cut：middle cut：myocardial infarction

Left Ventricular Volume[cc]

Lef

t V

entr

icul

ar P

ress

ure　

[KP

a]

－－－

EF

①

②

③

34.9

46.6

50.9

Ventricular aneurysm after myocardial infarction

pressure-volume looop

modest

radical

excision sutura

②

③

①

16

EC-coupling metabolism, sarcomere dynamics

structural dynamics by FEM contraction force

FSI by FEM circulation

Multiscale Analysis

molecule cell tissue organ

homogenization method

micro macro

For the personalized therapy in medical domain

As a bridge between molecular biology and clinical application

multiscale simulation


Scalability and Performance on "K computer"

Succeeded in simulating 1.5 heartbeats lasting about 17 hours and using 602,112 cores.

Achieved more than 90% of the ideal scaling and 27.7% of the peak performance using 20,736/41,472/82,944 nodes with 659,456 embedded numerical cells of and 49,248 DOFs.


0

1

2

3

4

0 50000 100000

Spee

d-u

p r

ati

o

#Nodes

Ideal

49k DOF

#Nodes 20,736 41,472 82,944

Pflops 0.78 1.49 2.94

% of the peak performance

29.32 28.12 27.72

% of the ideal scaling

100 98.0 95.3

close to the ideal slope

Present results were obtained by early access to the "K computer" at RIKEN AICS as a "grand challenge application”

under the "R&D of Next-Generation Integrated Life-Science Simulation Software" program supported by MEXT.

strong scalability

18

Conclusion FUJITSU has been developing the HPC applications for practical use

Effective utilization of HPC

Broaden the possibilities of HPC

Practical applications

Some of these were introduced.

Tsunami simulator based on article method for disaster prevention

• From the epicenter to the urban area

FEM based Electromagnetic field simulator for industry

• Coupled with micromagnetics simulator

• Optimization in macroscopic quantities possible, taking into account of the effect of micro magnetics

FEM based human heart simulator (UT-Heart) for personalized medical therapy

Multiscale & multiphysics heart simulator

Possibilities of use to aid diagnosis not only in surgery but also in a medical domain for personalized medical treatment

Achieved more than 90% of the ideal scaling and 27.7% of the peak performance on "K computer"



Thank you for your attention. 20

real world applications on massively parallel environments · •optimization in macroscopic...

Documents