Multiphysics simulations: challenges and opportunities.

Keyes, D. ; McInnes, L. C. ; Woodward, C. ; Gropp, W. ; Myra, E. ; Pernice, M. (Mathematics and Computer Science) ; (KAUST and Columbia Univ.) ; (Lawrence Livermore National Laboratory) ; (Univ. of Illinois at Urbana-Champaign) ; (Univ. of Mich.) ; (Idaho National Lab.)

关键词: ALGORITHMS;    COMMUNITIES;    COMPUTERS;    COMPUTER CODES;    SIMULATION;   

DOI  :  10.2172/1034263
RP-ID  :  ANL/MCS-TM-321 Rev. 1.1
PID  :  OSTI ID: 1034263
Others  :  TRN: US201203%%513

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

This report is an outcome of the workshop Multiphysics Simulations: Challenges and Opportunities, sponsored by the Institute of Computing in Science (ICiS). Additional information about the workshop, including relevant reading and presentations on multiphysics issues in applications, algorithms, and software, is available via https://sites.google.com/site/icismultiphysics2011/. 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. We also initiate a modest suite of test problems encompassing features present in many applications.