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 journalArticlepeer-review

258 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 languageEnglish (US)
Pages (from-to)4-83
Number of pages80
JournalInternational Journal of High Performance Computing Applications
Volume27
Issue number1
DOIs
StatePublished - 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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