Multiphysics simulations: Challenges and opportunities

̈de, Rice University Ulrich Ru; ̈nchen, Technische Universita ̈t Mu; Woodward, Carol S.; Keyes, David Elliot; McInnes, Lois Curfman; Kaust, and Columbia University Lois Curfman McInnes; Woodward, Argonne National Laboratory Carol; Gropp, William D.; Gropp, Lawrence Livermore National Laboratory William; Myra, University of Illinois at Urbana-Champaign Eric; Myra, Eric S.; Bell, John B.; Pernice, University of Michigan Michael; Bell, Idaho National Laboratory John; Kaust, Jeffrey Connors; Brown, Lawrence Berkeley National Laboratory Jed; Clo, Alain M.; Constantinescu, Lawrence Livermore National Laboratory Emil; Clo, Argonne National Laboratory Alain; Connors, Jeffrey Mark; Estep, Donald J.; Constantinescu, Emil M.; Evans, Katherine J.; Estep, Argonne National Laboratory Don; Farhat, Oak Ridge National Laboratory Charbel; Evans, Colorado State University Kate; Farhat, Charbel H.; Hakim, Stanford University Ammar; Hakim, Ammar H.; Hammond, Princeton Plasma Physics Laboratory Glenn; Hammond, Glenn E.; Hansen, Pacific Northwest National Laboratory Glen; Hansen, Glen A.; Hill, Sandia National Laboratories Judith; Hill, Judith C.; Isaac, Oak Ridge National Laboratory Tobin; Jiao, University of Texas at Austin Xiangmin; Jordan, Stonybrook University Kirk; Ibm, Research Center Dinesh Kaushik; Jordan, Kirk E.; Kaushik, Dinesh K.; Koniges, Harvard University Alice; Kaxiras, Argonne National Laboratory Efthimios; Koniges, Alice E.; Slac, National Accelerator Laboratory Aaron Lott; Lee, Lawrence Berkeley National Laboratory Kihwan; Magerlein, John H.; Lott, Aaron; Ibm, Research Center Reed Maxwell; Lu, Lawrence Livermore National Laboratory Qiming; (Kaust and Columbia Univ.),; Magerlein, Fermi National Accelerator Laboratory John; McCourt, Michael J.; Maxwell, Reed M.; McCourt, Colorado School of Mines Michael; Pawlowski, Technische Universita ̈t Mu ̈nchen Roger; Mehl, Cornell University Miriam; (Lawrence Livermore National Laboratory),; Pawlowski, Roger P.; Reynolds, Harvard University Daniel; Randles, Sandia National Laboratories Amanda Peters; Rivie`re, Southern Methodist University Beatrice; Reynolds, Daniel R.; Scheibe, University Erlangen-Nuremberg Tim; Rivière, Béatrice M.; (Univ of Illinois at Urbana-Champaign),; Rüde, Ulrich; Ruede, Ulrich; Scheibe, Timothy D.; Shadid, Pacific Northwest National Laboratory John; Shadid, John N.; Sheehan, Sandia National Laboratories Brendan; Shephard, Mark S.; Shephard, Colorado State University Mark; Siegel, Rensselaer Polytechnic Institute Andrew; (Univ of Mich.),; Siegel, Andrew R.; Smith, Argonne National Laboratory Barry; Smith, Barry F.; Tang, Argonne National Laboratory Xianzhu; Wilson, Los Alamos National Laboratory Cian; Wilson, Cian R. G.; Wohlmuth, Columbia University Barbara; (Idaho National Lab.),; Wohlmuth, Barbara Ian

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SAGE Publications, International Journal of High Performance Computing Applications, 1(27), p. 4-83, 2013

DOI: 10.1177/1094342012468181

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Multiphysics simulations: Challenges and opportunities

Journal article published in 2013 by Rice University Ulrich Ru ̈de, Technische Universita ̈t Mu ̈nchen, Carol S. Woodward, David Elliot Keyes

, Lois Curfman McInnes, and Columbia University Lois Curfman McInnes Kaust, Argonne National Laboratory Carol Woodward, William D. Gropp, Lawrence Livermore National Laboratory William Gropp, University of Illinois at Urbana-Champaign Eric Myra, Eric S. Myra, John B. Bell, University of Michigan Michael Pernice, Idaho National Laboratory John Bell, Jeffrey Connors Kaust and other authors.

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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.

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Multiphysics simulations: Challenges and opportunities

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