期刊
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
卷 27, 期 1, 页码 4-83出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/1094342012468181
关键词
Multiphysics; multimodel; multirate; multiscale; implicit and explicit algorithms; strong and weak coupling; loose and tight coupling
类别
资金
- Institute of Computing in Science (ICiS)
- Institute for Computing in Science
- Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy [DE-AC02-06CH11357]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1068419] Funding Source: National Science Foundation
- Directorate For Engineering
- Div Of Industrial Innovation & Partnersh [1237555] Funding Source: National Science Foundation
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [1228206] Funding Source: National Science Foundation
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [0810422, 1065046, 1016268] Funding Source: National Science Foundation
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.
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