Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations

被引：28

作者：

Groen, D. ^{[1
]}

Borgdorff, J. ^{[2
]}

Bona-Casas, C. ^{[2
]}

Hetherington, J. ^{[1
]}

Nash, R. W. ^{[1
]}

Zasada, S. J. ^{[1
]}

Saverchenko, I. ^{[3
]}

Mamonski, M. ^{[4
]}

Kurowski, K. ^{[4
]}

Bernabeu, M. O. ^{[1
]}

Hoekstra, A. G. ^{[2
]}

Coveney, P. V. ^{[1
]}

机构：

[1] UCL, Ctr Computat Sci, London WC1E 6BT, England

[2] Univ Amsterdam, Sect Computat Sci, NL-1012 WX Amsterdam, Netherlands

[3] Leibniz Rechenzentrum, Garching, Germany

[4] Poznan Supercomp & Networking Ctr, Poznan, Poland

来源：

INTERFACE FOCUS | 2013年 / 3卷 / 02期

基金：

英国工程与自然科学研究理事会; 欧盟第七框架计划;

关键词：

multiscale modelling; blood flow; high performance computing; in-stent restenosis; cerebrovascular bloodflow; distributed computing; IN-STENT RESTENOSIS; SYSTEMS BIOLOGY; BLOOD-FLOW; CHALLENGES; NETWORK; 1-D;

D O I：

10.1098/rsfs.2012.0087

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Multiscale simulations are essential in the biomedical domain to accurately model human physiology. We present a modular approach for designing, constructing and executing multiscale simulations on a wide range of resources, from laptops to petascale supercomputers, including combinations of these. Our work features two multiscale applications, in-stent restenosis and cerebrovascular bloodflow, which combine multiple existing single-scale applications to create a multiscale simulation. These applications can be efficiently coupled, deployed and executed on computers up to the largest (peta) scale, incurring a coupling overhead of 1-10% of the total execution time.

引用

页数：8

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