Multiphysics simulations: Challenges and opportunities

David E. Keyes; Lois C. McInnes; Carol Woodward; William Gropp; Eric Myra; Michael Pernice; John Bell; Jed Brown; Alain Clo; Jeffrey Connors; Emil Constantinescu; Don Estep; Kate Evans; Charbel Farhat; Ammar Hakim; Glenn Hammond; Glen Hansen; Judith Hill; Tobin Isaac; Xiangmin Jiao; Kirk Jordan; Dinesh Kaushik; Efthimios Kaxiras; Alice Koniges; Kihwan Lee; Aaron Lott; Qiming Lu; John Magerlein; Reed Maxwell; Michael McCourt; Miriam Mehl; Roger Pawlowski; Amanda P. Randles; Daniel Reynolds; Beatrice Riviere; Ulrich Ruede; Tim Scheibe; John Shadid; Brendan Sheehan; Mark Shephard; Andrew Siegel; Barry Smith; Xianzhu Tang; Cian Wilson; Barbara Wohlmuth; Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

doi:10.1177/1094342012468181

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Multiphysics simulations: Challenges and opportunities

Journal article

Peer reviewed

Multiphysics simulations: Challenges and opportunities

David E. Keyes, Lois C. McInnes, Carol Woodward, William Gropp, Eric Myra, Michael Pernice, John Bell, Jed Brown, Alain Clo, Jeffrey Connors, …

The international journal of high performance computing applications, Vol.27(1), pp.4-83

01/02/2013

DOI: https://doi.org/10.1177/1094342012468181

Abstract

Computer Science

Computer Science, Hardware & Architecture

Computer Science, Interdisciplinary Applications

Computer Science, Theory & Methods

Science & Technology

Technology

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.

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Title: Multiphysics simulations: Challenges and opportunities
Creators - without role: David E. Keyes - King Abdullah University of Science and Technology
Lois C. McInnes - Argonne National Laboratory
Carol Woodward - Lawrence Livermore National Laboratory
William Gropp - University of Illinois Urbana-Champaign
Eric Myra - University of Michigan–Ann Arbor
Michael Pernice - Idaho National Laboratory
John Bell - Lawrence Berkeley National Laboratory
Jed Brown - Argonne National Laboratory
Alain Clo - King Abdullah University of Science and Technology
Jeffrey Connors - Lawrence Livermore National Laboratory
Emil Constantinescu - Argonne National Laboratory
Don Estep - Colorado State University
Kate Evans - Oak Ridge Natl Lab, Oak Ridge, TN USA
Charbel Farhat - Stanford University
Ammar Hakim - Princeton Plasma Physics Laboratory
Glenn Hammond - Pacific Northwest National Laboratory
Glen Hansen - Sandia National Laboratories
Judith Hill - Oak Ridge National Laboratory
Tobin Isaac - The University of Texas at Austin
Xiangmin Jiao - Stony Brook University
Kirk Jordan
Dinesh Kaushik - Argonne National Laboratory
Efthimios Kaxiras - Harvard University Press
Alice Koniges - Lawrence Berkeley National Laboratory
Kihwan Lee - SLAC National Accelerator Laboratory
Aaron Lott - Lawrence Livermore National Laboratory
Qiming Lu - Fermi National Accelerator Laboratory
John Magerlein
Reed Maxwell - Colorado School of Mines
Michael McCourt - Cornell University
Miriam Mehl - Technical University of Munich
Roger Pawlowski - Sandia National Laboratories
Amanda P. Randles - Harvard University Press
Daniel Reynolds - Southern Methodist University
Beatrice Riviere - Rice University
Ulrich Ruede - Univ Erlangen Nurnberg, Erlangen, Germany
Tim Scheibe - Pacific Northwest National Laboratory
John Shadid - Sandia National Laboratories
Brendan Sheehan - Colorado State University
Mark Shephard - Rensselaer Polytechnic Institute
Andrew Siegel - Argonne National Laboratory
Barry Smith - Argonne Natl Lab, Argonne, IL 60439 USA
Xianzhu Tang - Los Alamos Natl Lab, Los Alamos, NM 87545 USA
Cian Wilson - Columbia University
Barbara Wohlmuth - Technical University of Munich
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Details: The international journal of high performance computing applications, Vol.27(1), pp.4-83
Publisher: Sage
Number of pages: 80
Grant note: Institute for Computing in Science 1237555; 1068419 / Directorate For Engineering; National Science Foundation (NSF); NSF - Directorate for Engineering (ENG) Institute of Computing in Science (ICiS) DE-AC02-06CH11357 / Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy; United States Department of Energy (DOE)
Identifiers: 9943872008331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article