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Performance prediction based on hierarchy parallel features captured in multi-processing system

Published: 11 June 2009 Publication History

Abstract

As the computing ability of high performance computers are improved by increasing the number of computing elements, how to utilize the available computing resources becomes an important issue. Different strategies to solve an problem based on a multi-processing system can bring about distinct performance. In this paper, we propose a method to predict the performance of parallel applications. The method describes the parallel features of the multi-processing systems in a hierarchy way, and evaluates solutions based on the description. In this way, programmers can find the better solution of an application before real programming.

Reference

[1]
W. J. Dally, U. J. Kapasi, B. Khailany, J. H. Ahn, and A. Das. Stream processors: Programmability and efficiency. Queue, 2(1):52--62, 2004.

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  • (2012)A framework for efficient performance prediction of distributed applications in heterogeneous systemsThe Journal of Supercomputing10.1007/s11227-012-0823-562:3(1609-1634)Online publication date: 14-Sep-2012

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  1. Performance prediction based on hierarchy parallel features captured in multi-processing system

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    cover image ACM Conferences
    HPDC '09: Proceedings of the 18th ACM international symposium on High performance distributed computing
    June 2009
    237 pages
    ISBN:9781605585871
    DOI:10.1145/1551609

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 11 June 2009

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    Author Tags

    1. parallel features
    2. performance prediction

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    • (2012)A framework for efficient performance prediction of distributed applications in heterogeneous systemsThe Journal of Supercomputing10.1007/s11227-012-0823-562:3(1609-1634)Online publication date: 14-Sep-2012

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