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International Conference on High-Performance Computing and Networking

HPCN-Europe 1996: High-Performance Computing and Networking pp 654–661Cite as

Affine data mapping with residual communication optimization: Evaluation of heuristics

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1067))

Abstract

Minimizing time spent on communications when mapping affine loop nests onto distributed memory parallel computers (DMPCs) is a key problem with regard to performance, and many authors have dealt with it. All communications are not equivalent. Local communications (translations), simple communications (horizontal or vertical ones) or structured communications (broadcasts, gathers, scatters, or reductions) are performed much faster than general affine communications onto DMPCs.

Dion, Randriamaro and Robert have presented an heuristic based on the following strategy: (1) zero out as many nonlocal communications as possible, (2) as it is generally impossible to obtain a communication local mapping, try to optimize residual communications.

The aim of this paper is to present an evaluation of the heuristic given by Dion, Randriamaro and Robert. First, we recall the motivations of their approach and we evaluate its efficiency on classical linear algebra examples.

Supported by the CNRS-ENS Lyon—INRIA project ReMap and by the Eureka project EuroTOPS

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Authors and Affiliations

  1. Laboratoire LIP, CNRS (U.R.A. n∘ 1398) Ecole normale supérieure de Lyon, 69364, Lyon Cedex 07, France

    Michèle Dion

Authors
  1. Michèle Dion
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Heather Liddell Adrian Colbrook Bob Hertzberger Peter Sloot

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© 1996 Springer-Verlag Berlin Heidelberg

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Dion, M. (1996). Affine data mapping with residual communication optimization: Evaluation of heuristics. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol 1067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61142-8_610

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  • DOI: https://doi.org/10.1007/3-540-61142-8_610

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61142-4

  • Online ISBN: 978-3-540-49955-8

  • eBook Packages: Springer Book Archive

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