The SCore cluster enabled OpenMP environment: Performance prospects for computational science

H'sien J. Wong, Alistair P. Rendell

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

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).

Original languageEnglish
Pages (from-to)1067-1075
Number of pages9
JournalLecture Notes in Computer Science
Volume3514
Issue numberI
DOIs
Publication statusPublished - 30 Sep 2005
Externally publishedYes
Event5th International Conference on Computational Science - ICCS 2005 - Atlanta, GA, United States
Duration: 22 May 200525 May 2005

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