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

H'sien J. Wong*, Alistair P. Rendell

*Corresponding author for this work

    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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3514
    Issue numberI
    DOIs
    Publication statusPublished - 2005
    Event5th International Conference on Computational Science - ICCS 2005 - Atlanta, GA, United States
    Duration: 22 May 200525 May 2005

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