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 Rivière; Ulrich Rüde; Tim Scheibe; John Shadid; Brendan Sheehan; Mark Shephard; Andrew Siegel; Barry Smith; Xianzhu Tang; Cian Wilson; Barbara Wohlmuth

doi:10.1177/1094342012468181

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 JiaoKirk 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 Rivière, Ulrich Rüde, Tim Scheibe, John Shadid, Brendan Sheehan, Mark Shephard, Andrew Siegel, Barry Smith, Xianzhu Tang, Cian Wilson, Barbara Wohlmuth

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276 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	4-83
Number of pages	80
Journal	International Journal of High Performance Computing Applications
Volume	27
Issue number	1
DOIs	https://doi.org/10.1177/1094342012468181
State	Published - Feb 2013

Funding

The workshop from which this document originated was sponsored by the Institute for Computing in Science, funded by the Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy, under Contract DE-AC02-06CH11357.

Funders	Funder number
Institute for Computing in Science
National Science Foundation	1068419, 1237555
U.S. Department of Energy	DE-AC02-06CH11357
Office of Science
Advanced Scientific Computing Research

Keywords

Multiphysics
implicit and explicit algorithms
loose and tight coupling.
multimodel
multirate
multiscale
strong and weak coupling

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10.1177/1094342012468181

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Keyes, D. E., McInnes, L. C., Woodward, C., Gropp, W., Myra, E., Pernice, M., Bell, J., Brown, J., Clo, A., Connors, J., Constantinescu, E., Estep, D., Evans, K., Farhat, C., Hakim, A., Hammond, G., Hansen, G., Hill, J., Isaac, T., ... Wohlmuth, B. (2013). Multiphysics simulations: Challenges and opportunities. International Journal of High Performance Computing Applications, 27(1), 4-83. https://doi.org/10.1177/1094342012468181

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Keyes, DE, McInnes, LC, Woodward, C, Gropp, W, Myra, E, Pernice, M, Bell, J, Brown, J, Clo, A, Connors, J, Constantinescu, E, Estep, D, Evans, K, Farhat, C, Hakim, A, Hammond, G, Hansen, G, Hill, J, Isaac, T, Jiao, X, Jordan, K, Kaushik, D, Kaxiras, E, Koniges, A, Lee, K, Lott, A, Lu, Q, Magerlein, J, Maxwell, R, McCourt, M, Mehl, M, Pawlowski, R, Randles, AP, Reynolds, D, Rivière, B, Rüde, U, Scheibe, T, Shadid, J, Sheehan, B, Shephard, M, Siegel, A, Smith, B, Tang, X, Wilson, C & Wohlmuth, B 2013, 'Multiphysics simulations: Challenges and opportunities', International Journal of High Performance Computing Applications, vol. 27, no. 1, pp. 4-83. https://doi.org/10.1177/1094342012468181

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AU - McInnes, Lois C.

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AU - Gropp, William

AU - Myra, Eric

AU - Pernice, Michael

AU - Bell, John

AU - Brown, Jed

AU - Clo, Alain

AU - Connors, Jeffrey

AU - Constantinescu, Emil

AU - Estep, Don

AU - Evans, Kate

AU - Farhat, Charbel

AU - Hakim, Ammar

AU - Hammond, Glenn

AU - Hansen, Glen

AU - Hill, Judith

AU - Isaac, Tobin

AU - Jiao, Xiangmin

AU - Jordan, Kirk

AU - Kaushik, Dinesh

AU - Kaxiras, Efthimios

AU - Koniges, Alice

AU - Lee, Kihwan

AU - Lott, Aaron

AU - Lu, Qiming

AU - Magerlein, John

AU - Maxwell, Reed

AU - McCourt, Michael

AU - Mehl, Miriam

AU - Pawlowski, Roger

AU - Randles, Amanda P.

AU - Reynolds, Daniel

AU - Rivière, Beatrice

AU - Rüde, Ulrich

AU - Scheibe, Tim

AU - Shadid, John

AU - Sheehan, Brendan

AU - Shephard, Mark

AU - Siegel, Andrew

AU - Smith, Barry

AU - Tang, Xianzhu

AU - Wilson, Cian

AU - Wohlmuth, Barbara

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AB - 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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KW - implicit and explicit algorithms

KW - loose and tight coupling.

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Multiphysics simulations: Challenges and opportunities

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