Multiphysics simulations: Challenges and opportunities

  • Authors:

  • David E Keyes;Lois C Mcinnes;Carol Woodward;William Gropp;Eric Myra;Michael Pernice;John Bell;Jed Brown;Alain Clo;Jeffrey Connors;Emil Constantinescu;Don Estep;Kate Evans;Charbel Farhat;Ammar Hakim;Glenn Hammond;Glen Hansen;Judith Hill;Tobin Isaac;Xiangmin Jiao;Kirk Jordan;Dinesh Kaushik;Efthimios Kaxiras;Alice Koniges;Kihwan Lee;Aaron Lott;Qiming Lu;John Magerlein;Reed Maxwell;Michael Mccourt;Miriam Mehl;Roger Pawlowski;Amanda P Randles;Daniel Reynolds;Beatrice Rivière;Ulrich Rüde;Tim Scheibe;John Shadid;Brendan Sheehan;Mark Shephard;Andrew Siegel;Barry Smith;Xianzhu Tang;Cian Wilson;Barbara Wohlmuth

  • Affiliations:

  • KAUST, Saudi Arabia, Columbia University, USA;Argonne National Laboratory, USA;Lawrence Livermore National Laboratory, USA;University of Illinois at Urbana-Champaign, USA;University of Michigan, USA;Idaho National Laboratory, USA;Lawrence Berkeley National Laboratory, USA;Argonne National Laboratory, USA;KAUST, Saudi Arabia;Lawrence Livermore National Laboratory, USA;Argonne National Laboratory, USA;Colorado State University, USA;Oak Ridge National Laboratory, USA;Stanford University, USA;Princeton Plasma Physics Laboratory, USA;Pacific Northwest National Laboratory, USA;Sandia National Laboratories, USA;Oak Ridge National Laboratory, USA;University of Texas at Austin, USA;Stonybrook University, USA;IBM Research Center, USA;Argonne National Laboratory, USA;Harvard University, USA;Lawrence Berkeley National Laboratory, USA;SLAC National Accelerator Laboratory, USA;Lawrence Livermore National Laboratory, USA;Fermi National Accelerator Laboratory, USA;IBM Research Center, USA;Colorado School of Mines, USA;Cornell University, USA;Technische Universität München, Germany;Sandia National Laboratories, USA;Harvard University, USA;Southern Methodist University, USA;Rice University, USA;University Erlangen-Nuremberg, Germany;Pacific Northwest National Laboratory, USA;Sandia National Laboratories, USA;Colorado State University, USA;Rensselaer Polytechnic Institute, USA;Argonne National Laboratory, USA;Argonne National Laboratory, USA;Los Alamos National Laboratory, USA;Columbia University, USA;Technische Universität München, Germany

  • Venue:
  • International Journal of High Performance Computing Applications
  • Year:
  • 2013

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Abstract

We consider multiphysics applications from algorithmic and architectural perspectives, where â聙聹algorithmicâ聙聺 includes both mathematical analysis and computational complexity, and â聙聹architecturalâ聙聺 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.