Data redistribution and remote method invocation in parallel component architectures

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 multi-physics simulation codes....

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Bibliographic Details
Published in19th IEEE International Parallel and Distributed Processing Symposium p. 14 pp.
Main Authors Bertrand, F., Bramley, R., Bernholdt, D.E., Kohl, J.A., Sussman, A., Larson, J.W., Damevski, K.B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Biological system modeling
Component architectures
Computational modeling
Computer science
Concurrent computing
Laboratories
Mathematical model
Mathematics
Object oriented modeling
Scientific computing
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Summary: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 multi-physics 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/spl times/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.
ISBN:9780769523125
0769523129
ISSN:1530-2075
DOI:10.1109/IPDPS.2005.159