Data redistribution and remote method invocation for coupled components

Felipe Bertrand; Randall Bramley; David E. Bernholdt; James A. Kohl; Alan Sussman; Jay W. Larson; Kostadin B. Damevski

doi:10.1016/j.jpdc.2005.12.009

Data redistribution and remote method invocation for coupled components

Felipe Bertrand, Randall Bramley, David E. Bernholdt, James A. Kohl, Alan Sussman, Jay W. Larson, Kostadin B. Damevski

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	931-946
Number of pages	16
Journal	Journal of Parallel and Distributed Computing
Volume	66
Issue number	7
DOIs	https://doi.org/10.1016/j.jpdc.2005.12.009
State	Published - Jul 2006

Funding

This work is supported by National Science Foundation Grants CDA-0116050 and EIA-0202048, and by the U.S. Department of Energy’s Scientific Discovery through the Advanced Computing (SciDAC) initiative, through the Center for Component Technology for Terascale Simulation Software, of which Argonne, Lawrence Livermore, Los Alamos, Oak Ridge, Pacific Northwest, and Sandia National Laboratories, Indiana University, and the University of Utah are members. Research at Oak Ridge National Laboratory is supported by the Mathematics, Information and Computational Sciences Office, Office of Advanced Scientific Computing Research, U.S. Department of Energy, under contract No. DE-AC05-00OR22725 with UT-Battelle, LLC.

Keywords

Common component architecture
Model coupling
Parallel data redistribution
Parallel remote method invocation

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10.1016/j.jpdc.2005.12.009

Cite this

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AU - Larson, Jay W.

AU - Damevski, Kostadin B.

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Data redistribution and remote method invocation for coupled components

Abstract

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