Data redistribution and remote method invocation for coupled components
| Autor: | Kostadin Damevski, Jay Larson, James Arthur Kohl, David E. Bernholdt, Randall Bramley, Alan Sussman, Felipe Bertrand |
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| Rok vydání: | 2006 |
| Předmět: |
Common Component Architecture
Computer Networks and Communications Computer science Distributed computing Multiphysics Parallel algorithm Data structure Theoretical Computer Science Artificial Intelligence Hardware and Architecture Remote procedure call Distributed memory Software architecture Massively parallel Software |
| Zdroj: | Journal of Parallel and Distributed Computing. 66:931-946 |
| ISSN: | 0743-7315 |
| DOI: | 10.1016/j.jpdc.2005.12.009 |
| Popis: | With the increasing availability of high-performance massively parallel computer systems, the prevalence of sophisticated scientific simulation has grown rapidly. The complexity of the scientific models being simulated has also evolved, leading to a variety of coupled multiphysics simulation codes. Such cooperating parallel programs require fundamentally new interaction capabilities, to efficiently exchange parallel data structures and collectively invoke methods across programs. So-called "M × N" research, as part of the common component architecture (CCA) effort, addresses these special and challenging needs, to provide generalized interfaces and tools that support flexible parallel data redistribution and parallel remote method invocation. Using this technology, distinct simulation codes with disparate distributed data decompositions can work together to achieve greater scientific discoveries. |
| Databáze: | OpenAIRE |
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