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The SCore Cluster Enabled OpenMP Environment: Performance Prospects for Computational Science

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Date

2005

Authors

Wong, H'sien
Rendell, Alistair

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Volume Title

Publisher

Springer

Abstract

The OpenMP shared memory programming paradigm has been widely embraced by the computational science community, as has distributed memory clusters. What are the prospects for running OpenMP applications on clusters? This paper gives an overview of the SCore cluster enabled OpenMP environment, provides performance data for some of the fundamental underlying operations, and reports overall performance for a model computational science application (the finite difference solution of the 2D Laplace equation).

Description

Keywords

Keywords: Computer programming; Computer programming languages; Computer science; Distributed memory clusters; Shared memory; Data storage equipment

Citation

URI

http://hdl.handle.net/1885/83627

Collections

ANU Research Publications

Source

Computational Science - ICCS 2005: 5th International Conference on Computational Science. Proceedings, Part II

Type

Conference paper

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DOI

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