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dc.contributor.authorKeyes, David E.
dc.contributor.authorMcInnes, Lois Curfman
dc.contributor.authorWoodward, Carol S.
dc.contributor.authorGropp, William D.
dc.contributor.authorMyra, Eric S.
dc.contributor.authorPernice, Michael
dc.contributor.authorBell, John B.
dc.contributor.authorBrown, Jed
dc.contributor.authorClo, Alain M.
dc.contributor.authorConnors, Jeffrey Mark
dc.contributor.authorConstantinescu, Emil M.
dc.contributor.authorEstep, Donald J.
dc.contributor.authorEvans, Katherine J.
dc.contributor.authorFarhat, Charbel H.
dc.contributor.authorHakim, Ammar H.
dc.contributor.authorHammond, Glenn E.
dc.contributor.authorHansen, Glen A.
dc.contributor.authorHill, Judith C.
dc.contributor.authorIsaac, Tobin
dc.contributor.authorJiao, Xiangmin
dc.contributor.authorJordan, Kirk E.
dc.contributor.authorKaushik, Dinesh K.
dc.contributor.authorKaxiras, Efthimios
dc.contributor.authorKoniges, Alice E.
dc.contributor.authorLee, Kihwan
dc.contributor.authorLott, Aaron
dc.contributor.authorLu, Qiming
dc.contributor.authorMagerlein, John H.
dc.contributor.authorMaxwell, Reed M.
dc.contributor.authorMcCourt, Michael J.
dc.contributor.authorMehl, Miriam
dc.contributor.authorPawlowski, Roger P.
dc.contributor.authorRandles, Amanda Peters
dc.contributor.authorReynolds, Daniel R.
dc.contributor.authorRivière, Béatrice M.
dc.contributor.authorRüde, Ulrich
dc.contributor.authorScheibe, Timothy D.
dc.contributor.authorShadid, John N.
dc.contributor.authorSheehan, Brendan
dc.contributor.authorShephard, Mark S.
dc.contributor.authorSiegel, Andrew R.
dc.contributor.authorSmith, Barry F.
dc.contributor.authorTang, Xianzhu
dc.contributor.authorWilson, Cian R G
dc.contributor.authorWohlmuth, Barbara Ian
dc.date.accessioned2015-08-24T08:33:11Z
dc.date.available2015-08-24T08:33:11Z
dc.date.issued2013-02-01
dc.identifier.issn10943420
dc.identifier.doi10.1177/1094342012468181
dc.identifier.urihttp://hdl.handle.net/10754/575571
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.
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.
dc.publisherSAGE Publications
dc.subjectimplicit and explicit algorithms
dc.subjectloose and tight coupling.
dc.subjectmultimodel
dc.subjectMultiphysics
dc.subjectmultirate
dc.subjectmultiscale
dc.subjectstrong and weak coupling
dc.titleMultiphysics simulations: Challenges and opportunities
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentExtreme Computing Research Center
dc.identifier.journalInternational Journal of High Performance Computing Applications
dc.contributor.institutionColumbia University, United States
dc.contributor.institutionArgonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, United States
dc.contributor.institutionLawrence Livermore National Laboratory, United States
dc.contributor.institutionUniversity of Illinois at Urbana-Champaign, United States
dc.contributor.institutionUniversity of Michigan, United States
dc.contributor.institutionIdaho National Laboratory, United States
dc.contributor.institutionLawrence Berkeley National Laboratory, United States
dc.contributor.institutionColorado State University, United States
dc.contributor.institutionOak Ridge National Laboratory, United States
dc.contributor.institutionStanford University, United States
dc.contributor.institutionPrinceton Plasma Physics Laboratory, United States
dc.contributor.institutionPacific Northwest National Laboratory, United States
dc.contributor.institutionSandia National Laboratories, United States
dc.contributor.institutionUniversity of Texas at Austin, United States
dc.contributor.institutionStonybrook University, United States
dc.contributor.institutionIBM Research Center, United States
dc.contributor.institutionHarvard University, United States
dc.contributor.institutionSLAC National Accelerator Laboratory, United States
dc.contributor.institutionFermi National Accelerator Laboratory, United States
dc.contributor.institutionColorado School of Mines, United States
dc.contributor.institutionCornell University, United States
dc.contributor.institutionTechnische Universität München, Germany
dc.contributor.institutionSouthern Methodist University, United States
dc.contributor.institutionRice University, United States
dc.contributor.institutionUniversity Erlangen-Nuremberg, Germany
dc.contributor.institutionRensselaer Polytechnic Institute, United States
dc.contributor.institutionLos Alamos National Laboratory, United States
kaust.personKeyes, David E.
kaust.personClo, Alain M.


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