Programming Abstractions for Dynamically Partitioning and Coordinating Localized Scientific Calculations Running on Multiprocessors

Certain software abstractions help to automate load balancing during various math-physics calculations on a team of concurrently executing processors. These abstractions have been tested on a vortex method for computational fluid dynamics. Experiments exhibited good parallel speedups of 24 and 3.6,r...

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Veröffentlicht in:SIAM journal on scientific and statistical computing Jg. 12; H. 1; S. 145 - 157
1. Verfasser: Baden, Scott B.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Philadelphia, PA Society for Industrial and Applied Mathematics 01.01.1991
Schlagworte:
Communication
Exact sciences and technology
Fluid dynamics
Mathematics
Methods of scientific computing (including symbolic computation, algebraic computation)
Numerical analysis. Scientific computation
Sciences and techniques of general use
Software upgrading
Workloads
Multiprocessor
Euler equation
Load distribution
Software tool
Numerical computation
Portability
Computing
Dynamic method
ISSN:0196-5204, 1064-8275, 2168-3417, 1095-7197
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Abstract Certain software abstractions help to automate load balancing during various math-physics calculations on a team of concurrently executing processors. These abstractions have been tested on a vortex method for computational fluid dynamics. Experiments exhibited good parallel speedups of 24 and 3.6,respectively, on 32 processors of the Intel iPSC-1--a message-passing hypercube architecture--and on 4 processors of a Cray X-MP--a shared-memory vector architecture. The abstractions should apply to diverse applications, including finite difference methods, and to diverse architectures without requiring that the application be reprogrammed extensively for each new architecture.
AbstractList Certain software abstractions help to automate load balancing during various math-physics calculations on a team of concurrently executing processors. These abstractions have been tested on a vortex method for computational fluid dynamics. Experiments exhibited good parallel speedups of 24 and 3.6,respectively, on 32 processors of the Intel iPSC-1--a message-passing hypercube architecture--and on 4 processors of a Cray X-MP--a shared-memory vector architecture. The abstractions should apply to diverse applications, including finite difference methods, and to diverse architectures without requiring that the application be reprogrammed extensively for each new architecture.
Author Baden, Scott B.
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crossref_primary_10_1016_0167_8191_94_90069_8
crossref_primary_10_1109_71_406958
crossref_primary_10_1145_156668_156679
crossref_primary_10_1109_12_391186
crossref_primary_10_1006_jpdc_1997_1413
crossref_primary_10_1016_0167_8191_93_90027_I
crossref_primary_10_1023_A_1008117625893
crossref_primary_10_1016_j_jcp_2003_11_004
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Cites_doi 10.1016/0021-9991(86)90102-6
10.1016/0167-8191(87)90016-0
10.1109/TC.1987.1676942
10.1016/0010-4655(80)90052-1
10.1017/S0022112073002016
10.1016/0021-9991(84)90073-1
10.1109/TC.1981.1675756
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Keywords Multiprocessor
Euler equation
Load distribution
Software tool
Numerical computation
Portability
Computing
Dynamic method
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Snippet Certain software abstractions help to automate load balancing during various math-physics calculations on a team of concurrently executing processors. These...
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SubjectTerms Communication
Exact sciences and technology
Fluid dynamics
Mathematics
Methods of scientific computing (including symbolic computation, algebraic computation)
Numerical analysis. Scientific computation
Sciences and techniques of general use
Software upgrading
Workloads
Title Programming Abstractions for Dynamically Partitioning and Coordinating Localized Scientific Calculations Running on Multiprocessors
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