Multiphysics simulations: Challenges and opportunities

David E. Keyes; Lois Curfman McInnes; Carol S. Woodward; William D. Gropp; Eric S. Myra; Michael Pernice; John B. Bell; Jed Brown; Alain M. Clo; Jeffrey Mark Connors; Emil M. Constantinescu; Donald J. Estep; Katherine J. Evans; Charbel H. Farhat; Ammar H. Hakim; Glenn E. Hammond; Glen A. Hansen; Judith C. Hill; Tobin Isaac; Xiangmin Jiao; Kirk E. Jordan; Dinesh K. Kaushik; Efthimios Kaxiras; Alice E. Koniges; Kihwan Lee; Aaron Lott; Qiming Lu; John H. Magerlein; Reed M. Maxwell; Michael J. McCourt; Miriam Mehl; Roger P. Pawlowski; Amanda Peters Randles; Daniel R. Reynolds; Béatrice M. Rivière; Ulrich Rüde; Timothy D. Scheibe; John N. Shadid; Brendan Sheehan; Mark S. Shephard; Andrew R. Siegel; Barry F. Smith; Xianzhu Tang; Cian R G Wilson; Barbara Ian Wohlmuth

doi:10.1177/1094342012468181

Multiphysics simulations: Challenges and opportunities

David E. Keyes, Lois Curfman McInnes, Carol S. Woodward, William D. Gropp, Eric S. Myra, Michael Pernice, John B. Bell, Jed Brown, Alain M. Clo, Jeffrey Mark Connors, Emil M. Constantinescu, Donald J. Estep, Katherine J. Evans, Charbel H. Farhat, Ammar H. Hakim, Glenn E. Hammond, Glen A. Hansen, Judith C. Hill, Tobin Isaac, Xiangmin JiaoKirk E. Jordan, Dinesh K. Kaushik, Efthimios Kaxiras, Alice E. Koniges, Kihwan Lee, Aaron Lott, Qiming Lu, John H. Magerlein, Reed M. Maxwell, Michael J. McCourt, Miriam Mehl, Roger P. Pawlowski, Amanda Peters Randles, Daniel R. Reynolds, Béatrice M. Rivière, Ulrich Rüde, Timothy D. Scheibe, John N. Shadid, Brendan Sheehan, Mark S. Shephard, Andrew R. Siegel, Barry F. Smith, Xianzhu Tang, Cian R G Wilson, Barbara Ian Wohlmuth

Research output: Contribution to journal › Article › peer-review

278 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. © The Author(s) 2012.

Original language	English (US)
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 7 2013

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This report is the outcome of a workshop on Multiphysics Simulations: Challenges and Opportunities, sponsored by the Institute of Computing in Science (ICiS) (Stevens, 2011). We gratefully acknowledge the ICiS for workshop support, and we thank all ICiS staff, especially Jutta Strate-Meyer and Cheryl Zidel. Additional information about the workshop is available via https://sites.google.com/site/icismultiphysics2011/, including relevant reading, presentations on multiphysics issues in applications, algorithms, and software, and the start of an illustrative multiphysics problem suite. We are especially grateful to Dana Knoll, Juan Meza, and Linda Petzold for detailed and insightful comments as reviewers. Their advice greatly improved the precision and perspective of this manuscript. We thank Satish Balay for establishing a Mercurial repository to facilitate collaborative writing of this document, as well as Gail Pieper for her masterful editing. We also thank Phil Colella and Hans Johansen for providing information about Chombo, and Tim Tautges for providing information about MOAB.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.

ASJC Scopus subject areas

Hardware and Architecture
Theoretical Computer Science
Software

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10.1177/1094342012468181

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

@article{4a1c0a4a027d49478ea1066ebc0844e4,

title = "Multiphysics simulations: Challenges and opportunities",

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. {\textcopyright} The Author(s) 2012.",

author = "Keyes, {David E.} and McInnes, {Lois Curfman} and Woodward, {Carol S.} and Gropp, {William D.} and Myra, {Eric S.} and Michael Pernice and Bell, {John B.} and Jed Brown and Clo, {Alain M.} and Connors, {Jeffrey Mark} and Constantinescu, {Emil M.} and Estep, {Donald J.} and Evans, {Katherine J.} and Farhat, {Charbel H.} and Hakim, {Ammar H.} and Hammond, {Glenn E.} and Hansen, {Glen A.} and Hill, {Judith C.} and Tobin Isaac and Xiangmin Jiao and Jordan, {Kirk E.} and Kaushik, {Dinesh K.} and Efthimios Kaxiras and Koniges, {Alice E.} and Kihwan Lee and Aaron Lott and Qiming Lu and Magerlein, {John H.} and Maxwell, {Reed M.} and McCourt, {Michael J.} and Miriam Mehl and Pawlowski, {Roger P.} and Randles, {Amanda Peters} and Reynolds, {Daniel R.} and Rivi{\`e}re, {B{\'e}atrice M.} and Ulrich R{\"u}de and Scheibe, {Timothy D.} and Shadid, {John N.} and Brendan Sheehan and Shephard, {Mark S.} and Siegel, {Andrew R.} and Smith, {Barry F.} and Xianzhu Tang and Wilson, {Cian R G} and Wohlmuth, {Barbara Ian}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This report is the outcome of a workshop on Multiphysics Simulations: Challenges and Opportunities, sponsored by the Institute of Computing in Science (ICiS) (Stevens, 2011). We gratefully acknowledge the ICiS for workshop support, and we thank all ICiS staff, especially Jutta Strate-Meyer and Cheryl Zidel. Additional information about the workshop is available via https://sites.google.com/site/icismultiphysics2011/, including relevant reading, presentations on multiphysics issues in applications, algorithms, and software, and the start of an illustrative multiphysics problem suite. We are especially grateful to Dana Knoll, Juan Meza, and Linda Petzold for detailed and insightful comments as reviewers. Their advice greatly improved the precision and perspective of this manuscript. We thank Satish Balay for establishing a Mercurial repository to facilitate collaborative writing of this document, as well as Gail Pieper for her masterful editing. We also thank Phil Colella and Hans Johansen for providing information about Chombo, and Tim Tautges for providing information about MOAB.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.",

year = "2013",

month = feb,

day = "7",

doi = "10.1177/1094342012468181",

language = "English (US)",

volume = "27",

pages = "4--83",

journal = "International Journal of High Performance Computing Applications",

issn = "1094-3420",

publisher = "SAGE Publications Ltd",

number = "1",

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Keyes, DE, McInnes, LC, Woodward, CS, Gropp, WD, Myra, ES, Pernice, M, Bell, JB, Brown, J, Clo, AM, Connors, JM, Constantinescu, EM, Estep, DJ, Evans, KJ, Farhat, CH, Hakim, AH, Hammond, GE, Hansen, GA, Hill, JC, Isaac, T, Jiao, X, Jordan, KE, Kaushik, DK, Kaxiras, E, Koniges, AE, Lee, K, Lott, A, Lu, Q, Magerlein, JH, Maxwell, RM, McCourt, MJ, Mehl, M, Pawlowski, RP, Randles, AP, Reynolds, DR, Rivière, BM, Rüde, U, Scheibe, TD, Shadid, JN, Sheehan, B, Shephard, MS, Siegel, AR, Smith, BF, Tang, X, Wilson, CRG & Wohlmuth, BI 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

TY - JOUR

T1 - Multiphysics simulations: Challenges and opportunities

AU - Keyes, David E.

AU - McInnes, Lois Curfman

AU - Woodward, Carol S.

AU - Gropp, William D.

AU - Myra, Eric S.

AU - Pernice, Michael

AU - Bell, John B.

AU - Brown, Jed

AU - Clo, Alain M.

AU - Connors, Jeffrey Mark

AU - Constantinescu, Emil M.

AU - Estep, Donald J.

AU - Evans, Katherine J.

AU - Farhat, Charbel H.

AU - Hakim, Ammar H.

AU - Hammond, Glenn E.

AU - Hansen, Glen A.

AU - Hill, Judith C.

AU - Isaac, Tobin

AU - Jiao, Xiangmin

AU - Jordan, Kirk E.

AU - Kaushik, Dinesh K.

AU - Kaxiras, Efthimios

AU - Koniges, Alice E.

AU - Lee, Kihwan

AU - Lott, Aaron

AU - Lu, Qiming

AU - Magerlein, John H.

AU - Maxwell, Reed M.

AU - McCourt, Michael J.

AU - Mehl, Miriam

AU - Pawlowski, Roger P.

AU - Randles, Amanda Peters

AU - Reynolds, Daniel R.

AU - Rivière, Béatrice M.

AU - Rüde, Ulrich

AU - Scheibe, Timothy D.

AU - Shadid, John N.

AU - Sheehan, Brendan

AU - Shephard, Mark S.

AU - Siegel, Andrew R.

AU - Smith, Barry F.

AU - Tang, Xianzhu

AU - Wilson, Cian R G

AU - Wohlmuth, Barbara Ian

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This report is the outcome of a workshop on Multiphysics Simulations: Challenges and Opportunities, sponsored by the Institute of Computing in Science (ICiS) (Stevens, 2011). We gratefully acknowledge the ICiS for workshop support, and we thank all ICiS staff, especially Jutta Strate-Meyer and Cheryl Zidel. Additional information about the workshop is available via https://sites.google.com/site/icismultiphysics2011/, including relevant reading, presentations on multiphysics issues in applications, algorithms, and software, and the start of an illustrative multiphysics problem suite. We are especially grateful to Dana Knoll, Juan Meza, and Linda Petzold for detailed and insightful comments as reviewers. Their advice greatly improved the precision and perspective of this manuscript. We thank Satish Balay for establishing a Mercurial repository to facilitate collaborative writing of this document, as well as Gail Pieper for her masterful editing. We also thank Phil Colella and Hans Johansen for providing information about Chombo, and Tim Tautges for providing information about MOAB.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.

PY - 2013/2/7

Y1 - 2013/2/7

N2 - 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. © The Author(s) 2012.

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. © The Author(s) 2012.

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UR - http://journals.sagepub.com/doi/10.1177/1094342012468181

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U2 - 10.1177/1094342012468181

DO - 10.1177/1094342012468181

M3 - Article

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EP - 83

JO - International Journal of High Performance Computing Applications

JF - International Journal of High Performance Computing Applications

IS - 1

ER -

Multiphysics simulations: Challenges and opportunities

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