Multiphysics simulations: Challenges and opportunities

Handle URI:
http://hdl.handle.net/10754/575571
Title:
Multiphysics simulations: Challenges and opportunities
Authors:
Keyes, David E. ( 0000-0002-4052-7224 ) ; McInnes, Lois Curfman; Woodward, Carol S.; Gropp, William D.; Myra, Eric S.; Pernice, Michael; Bell, John B.; Brown, Jed; Clo, Alain M.; Connors, Jeffrey Mark; Constantinescu, Emil M.; Estep, Donald J.; Evans, Katherine J.; Farhat, Charbel H.; Hakim, Ammar H.; Hammond, Glenn E.; Hansen, Glen A.; Hill, Judith C.; Isaac, Tobin; Jiao, Xiangmin; Jordan, Kirk E.; Kaushik, Dinesh K.; Kaxiras, Efthimios; Koniges, Alice E.; Lee, Kihwan; Lott, Aaron; Lu, Qiming; Magerlein, John H.; Maxwell, Reed M.; McCourt, Michael J.; Mehl, Miriam; Pawlowski, Roger P.; Randles, Amanda Peters; Reynolds, Daniel R.; Rivière, Béatrice M.; Rüde, Ulrich; Scheibe, Timothy D.; Shadid, John N.; Sheehan, Brendan; Shephard, Mark S.; Siegel, Andrew R.; Smith, Barry F.; Tang, Xianzhu; Wilson, Cian R G; Wohlmuth, Barbara Ian
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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Applied Mathematics and Computational Science Program; Extreme Computing Research Center
Publisher:
SAGE Publications
Journal:
International Journal of High Performance Computing Applications
Issue Date:
1-Feb-2013
DOI:
10.1177/1094342012468181
Type:
Article
ISSN:
10943420
Sponsors:
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.
Appears in Collections:
Articles; Applied Mathematics and Computational Science Program; Extreme Computing Research Center; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorKeyes, David E.en
dc.contributor.authorMcInnes, Lois Curfmanen
dc.contributor.authorWoodward, Carol S.en
dc.contributor.authorGropp, William D.en
dc.contributor.authorMyra, Eric S.en
dc.contributor.authorPernice, Michaelen
dc.contributor.authorBell, John B.en
dc.contributor.authorBrown, Jeden
dc.contributor.authorClo, Alain M.en
dc.contributor.authorConnors, Jeffrey Marken
dc.contributor.authorConstantinescu, Emil M.en
dc.contributor.authorEstep, Donald J.en
dc.contributor.authorEvans, Katherine J.en
dc.contributor.authorFarhat, Charbel H.en
dc.contributor.authorHakim, Ammar H.en
dc.contributor.authorHammond, Glenn E.en
dc.contributor.authorHansen, Glen A.en
dc.contributor.authorHill, Judith C.en
dc.contributor.authorIsaac, Tobinen
dc.contributor.authorJiao, Xiangminen
dc.contributor.authorJordan, Kirk E.en
dc.contributor.authorKaushik, Dinesh K.en
dc.contributor.authorKaxiras, Efthimiosen
dc.contributor.authorKoniges, Alice E.en
dc.contributor.authorLee, Kihwanen
dc.contributor.authorLott, Aaronen
dc.contributor.authorLu, Qimingen
dc.contributor.authorMagerlein, John H.en
dc.contributor.authorMaxwell, Reed M.en
dc.contributor.authorMcCourt, Michael J.en
dc.contributor.authorMehl, Miriamen
dc.contributor.authorPawlowski, Roger P.en
dc.contributor.authorRandles, Amanda Petersen
dc.contributor.authorReynolds, Daniel R.en
dc.contributor.authorRivière, Béatrice M.en
dc.contributor.authorRüde, Ulrichen
dc.contributor.authorScheibe, Timothy D.en
dc.contributor.authorShadid, John N.en
dc.contributor.authorSheehan, Brendanen
dc.contributor.authorShephard, Mark S.en
dc.contributor.authorSiegel, Andrew R.en
dc.contributor.authorSmith, Barry F.en
dc.contributor.authorTang, Xianzhuen
dc.contributor.authorWilson, Cian R Gen
dc.contributor.authorWohlmuth, Barbara Ianen
dc.date.accessioned2015-08-24T08:33:11Zen
dc.date.available2015-08-24T08:33:11Zen
dc.date.issued2013-02-01en
dc.identifier.issn10943420en
dc.identifier.doi10.1177/1094342012468181en
dc.identifier.urihttp://hdl.handle.net/10754/575571en
dc.description.abstractWe 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.en
dc.description.sponsorshipThis 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.en
dc.publisherSAGE Publicationsen
dc.subjectimplicit and explicit algorithmsen
dc.subjectloose and tight coupling.en
dc.subjectmultimodelen
dc.subjectMultiphysicsen
dc.subjectmultirateen
dc.subjectmultiscaleen
dc.subjectstrong and weak couplingen
dc.titleMultiphysics simulations: Challenges and opportunitiesen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.contributor.departmentExtreme Computing Research Centeren
dc.identifier.journalInternational Journal of High Performance Computing Applicationsen
dc.contributor.institutionColumbia University, United Statesen
dc.contributor.institutionArgonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, United Statesen
dc.contributor.institutionLawrence Livermore National Laboratory, United Statesen
dc.contributor.institutionUniversity of Illinois at Urbana-Champaign, United Statesen
dc.contributor.institutionUniversity of Michigan, United Statesen
dc.contributor.institutionIdaho National Laboratory, United Statesen
dc.contributor.institutionLawrence Berkeley National Laboratory, United Statesen
dc.contributor.institutionColorado State University, United Statesen
dc.contributor.institutionOak Ridge National Laboratory, United Statesen
dc.contributor.institutionStanford University, United Statesen
dc.contributor.institutionPrinceton Plasma Physics Laboratory, United Statesen
dc.contributor.institutionPacific Northwest National Laboratory, United Statesen
dc.contributor.institutionSandia National Laboratories, United Statesen
dc.contributor.institutionUniversity of Texas at Austin, United Statesen
dc.contributor.institutionStonybrook University, United Statesen
dc.contributor.institutionIBM Research Center, United Statesen
dc.contributor.institutionHarvard University, United Statesen
dc.contributor.institutionSLAC National Accelerator Laboratory, United Statesen
dc.contributor.institutionFermi National Accelerator Laboratory, United Statesen
dc.contributor.institutionColorado School of Mines, United Statesen
dc.contributor.institutionCornell University, United Statesen
dc.contributor.institutionTechnische Universität München, Germanyen
dc.contributor.institutionSouthern Methodist University, United Statesen
dc.contributor.institutionRice University, United Statesen
dc.contributor.institutionUniversity Erlangen-Nuremberg, Germanyen
dc.contributor.institutionRensselaer Polytechnic Institute, United Statesen
dc.contributor.institutionLos Alamos National Laboratory, United Statesen
kaust.authorKeyes, David E.en
kaust.authorClo, Alain M.en
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