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Data Redistribution and Remote Method Invocation in Parallel Component Architectures
Denver, Colorado April 04-April 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.15919th IEEE International Parallel and ...
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Felipe Bertrand, Indiana University
Randall Bramley, Indiana University
Alan Sussman, University of Maryland
David E. Bernholdt, Oak Ridge National Laboratory
James A. Kohl, Oak Ridge National Laboratory
Jay W. Larson, Argonne National Laboratory
Kostadin B. Damevski, University of Utah
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?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.
Citation:
Felipe Bertrand, Randall Bramley, Alan Sussman, David E. Bernholdt, James A. Kohl, Jay W. Larson, Kostadin B. Damevski, "Data Redistribution and Remote Method Invocation in Parallel Component Architectures," ipdps, vol. 1, pp.40b, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers, 2005
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