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A bridging model for parallel computation

A bridging model for parallel computation The success of the von Neumann model of sequential computation is attributable to the fact that it is an efficient bridge between software and hardware: high-level languages can be efficiently compiled on to this model; yet it can be effeciently implemented in hardware. The author argues that an analogous bridge between software and hardware in required for parallel computation if that is to become as widely used. This article introduces the bulk-synchronous parallel (BSP) model as a candidate for this role, and gives results quantifying its efficiency both in implementing high-level language features and algorithms, as well as in being implemented in hardware. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Communications of the ACM Association for Computing Machinery

A bridging model for parallel computation

Communications of the ACM , Volume 33 (8) – Aug 1, 1990

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References (31)

Publisher
Association for Computing Machinery
Copyright
Copyright © 1990 by ACM Inc.
ISSN
0001-0782
DOI
10.1145/79173.79181
Publisher site
See Article on Publisher Site

Abstract

The success of the von Neumann model of sequential computation is attributable to the fact that it is an efficient bridge between software and hardware: high-level languages can be efficiently compiled on to this model; yet it can be effeciently implemented in hardware. The author argues that an analogous bridge between software and hardware in required for parallel computation if that is to become as widely used. This article introduces the bulk-synchronous parallel (BSP) model as a candidate for this role, and gives results quantifying its efficiency both in implementing high-level language features and algorithms, as well as in being implemented in hardware.

Journal

Communications of the ACMAssociation for Computing Machinery

Published: Aug 1, 1990

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