NDLI: Some Organising Principles for Coupling in Multiphysics and Multiscale Models

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Some Organising Principles for Coupling in Multiphysics and Multiscale Models

Content Provider	Semantic Scholar
Author	Larson, Jay Walter
Copyright Year	2006
Abstract	Computational science faces new challenges posed by multiphysics and multiscale, or more generally put, coupled models. These systems are composites formed from separate subsystem models that interact via data exchanges. These data dependencies pose a coupling problem, and on distributed memory computers, a parallel coupling problem. This article presents a definition of terms and a set of organising principles for the coupling and parallel coupling problems. It is meant as a first step towards creating a theory of coupled models. These principles are then employed in a case study of a coupled climate model and offer remarkable insight into its structure.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.mcs.anl.gov/uploads/cels/papers/2007/P1414.pdf
Alternate Webpage(s)	http://info.mcs.anl.gov/pub/tech_reports/reports/P1414.pdf
Alternate Webpage(s)	https://journal.austms.org.au/ojs/index.php/ANZIAMJ/article/download/138/1226
Alternate Webpage(s)	https://www.mcs.anl.gov/uploads/cels/papers/P1414.pdf
Language	English
Access Restriction	Open
Subject Keyword	Australian Partnership for Advanced Computing Climate model Computation Computational science Computer Computers Coupling (computer programming) Data dependency Distributed memory Face Heuristic Heuristics Multiphysics Multiscale modeling Pentachlorophenol Robert Supercomputer The Australian Theory forest soil bacterium AC02
Content Type	Text
Resource Type	Article

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