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Mixed Mode Programming on HPCx

In: Parallel Scientific Computing and Optimization

Author

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  • Michał Piotrowski

    (University of Edinburgh)

Abstract

Clusters of shared memory nodes have become a system of choice for many research and enterprise projects. Mixed mode programming is a combination of shared and distributed programming models and naturally matches the SMP cluster architecture. It can potentially exploit features of the system by replacing the message exchanges within a node with faster direct reads and writes from memory, using message passing only to exchange information between the nodes. Several benchmark codes, based on a simple Jacobi relaxation algorithm, were developed; a pure MPI (Message Passing Interface) version and three mixed mode versions: Master-Only, Funneled, and Multiple. None of the mixed mode versions managed to outperform the pure MPI, mainly due to longer MPI point-to-point communication times. Results will be presented and reasons behind the performance losses discussed.

Suggested Citation

  • Michał Piotrowski, 2009. "Mixed Mode Programming on HPCx," Springer Optimization and Its Applications, in: Parallel Scientific Computing and Optimization, pages 133-143, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-09707-7_12
    DOI: 10.1007/978-0-387-09707-7_12
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