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Multiphysics simulations: Challenges and opportunities

delete2013-02-07
delete288
PRE
AI
D
David E. Keyes
L
Lois Curfman McInnes *
C
Carol S. Woodward
W
William Gropp
M
Michael Pernice
J
John B. Bell
J
Jed Brown
A
Alain Clo
J
Jeffrey M. Connors
E
Emil M. Constantinescu
D
D. Estep
E
Evans, Kate
C
Charbel Farhat
A
Ammar Hakim
G
Glenn Hammond
G
Glen Hansen
J
Judith Hill
T
Tobin Isaac
X
Xiangmin Jiao
K
Kirk E. Jordan
D
Dinesh Kaushik
E
Efthimios Kaxiras
A
Alice Koniges
K
Kihwan Lee
A
A.E. Lott
J
J. H. Magerlein
R
R. M. Maxwell
M
Michael McCourt
M
Miriam Mehl
R
Roger P. Pawlowski
A
Amanda Randles
D
Daniel R. Reynolds
B
Béatrice Rivière
U
Ulrich Ruede
T
Tim Scheibe
J
John N. Shadid
B
Brendan Sheehan
M
Mark S. Shephard
A
Andrew Siegel
B
Barry Smith
X
Xian-Zhu Tang
C
C. R. Wilson
B
Barbara Wohlmuth
DOI:10.1177/1094342012468181delete
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摘要

摘要

En 中文
We consider multiphysics applications from algorithmic and architectural perspectives, where algorithmic includes both mathematical analysis and computational complexity, and architectural includes both software and hardware environments. Many diverse multiphysics applications can be reduced, en route to their computational simulation, to a common algebraic coupling paradigm. Mathematical analysis of multiphysics coupling in this form is not always practical for realistic applications, but model problems representative of applications discussed herein can provide insight. A variety of software frameworks for multiphysics applications have been constructed and refined within disciplinary communities and executed on leading-edge computer systems. We examine several of these, expose some commonalities among them, and attempt to extrapolate best practices to future systems. From our study, we summarize challenges and forecast opportunities.
Keyword:
Multiphysics
multimodel
multirate
multiscale
implicit and explicit algorithms
strong and weak coupling
loose and tight coupling
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期刊

International Journal of High Performance Computing Applications 封面图
International Journal of High Performance Computing Applications
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2.5
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1.1K
被引数:
1.3K

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Pacific Northwest National Laboratory
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Columbia University
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king abdullah university of science & technology
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Colorado State University System
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Argonne National Laboratory
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Princeton University
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University of Illinois Urbana-Champaign
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Stanford University
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colorado state university fort collins
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