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Evaluating the Performance of Skeleton-Based High Level Parallel Programs

  • Anne Benoit
  • Murray Cole
  • Stephen Gilmore
  • Jane Hillston
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3038)

Abstract

We show in this paper how to evaluate the performance of skeleton-based high level parallel programs. Since many applications follow some commonly used algorithmic skeletons, we identify such skeletons and model them with process algebra in order to get relevant information about the performance of the application, and be able to take some “good” scheduling decisions. This concept is illustrated through the case study of the Pipeline skeleton, and a tool which generates automatically a set of models and solves them is presented. Some numerical results are provided, proving the efficiency of this approach.

Keywords

Schedule Decision Process Algebra Grid Application Algorithmic Skeleton Performance Evaluation Process Algebra 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Anne Benoit
    • 1
  • Murray Cole
    • 1
  • Stephen Gilmore
    • 1
  • Jane Hillston
    • 1
  1. 1.School of InformaticsThe University of EdinburghEdinburghUK

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