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.

Funders	Funder number
Center for Component Technology for Terascale Simulation Software
Mathematics, Information and Computational Sciences Office
U.S. Department of Energy’s
National Science Foundation	EIA-0202048, CDA-0116050
U.S. Department of Energy
Advanced Scientific Computing Research
Oak Ridge Associated Universities
Lawrence Livermore National Laboratory
Oak Ridge National Laboratory
Sandia National Laboratories
Indiana University
University of Utah
Los Alamos National Laboratory

Keywords

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

Access to Document

10.1016/j.jpdc.2005.12.009

Cite this

@article{43886328348e479098eea22a2c38a353,

title = "Data redistribution and remote method invocation for coupled components",

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.",

keywords = "Common component architecture, Model coupling, Parallel data redistribution, Parallel remote method invocation",

author = "Felipe Bertrand and Randall Bramley and Bernholdt, {David E.} and Kohl, {James A.} and Alan Sussman and Larson, {Jay W.} and Damevski, {Kostadin B.}",

year = "2006",

month = jul,

doi = "10.1016/j.jpdc.2005.12.009",

language = "English",

volume = "66",

pages = "931--946",

journal = "Journal of Parallel and Distributed Computing",

issn = "0743-7315",

publisher = "Elsevier",

number = "7",

}

TY - JOUR

T1 - Data redistribution and remote method invocation for coupled components

AU - Bertrand, Felipe

AU - Bramley, Randall

AU - Bernholdt, David E.

AU - Kohl, James A.

AU - Sussman, Alan

AU - Larson, Jay W.

AU - Damevski, Kostadin B.

PY - 2006/7

Y1 - 2006/7

N2 - 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.

AB - 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.

KW - Common component architecture

KW - Model coupling

KW - Parallel data redistribution

KW - Parallel remote method invocation

UR - http://www.scopus.com/inward/record.url?scp=33744545212&partnerID=8YFLogxK

U2 - 10.1016/j.jpdc.2005.12.009

DO - 10.1016/j.jpdc.2005.12.009

M3 - Article

AN - SCOPUS:33744545212

SN - 0743-7315

VL - 66

SP - 931

EP - 946

JO - Journal of Parallel and Distributed Computing

JF - Journal of Parallel and Distributed Computing

IS - 7

ER -

Data redistribution and remote method invocation for coupled components

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this