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Pipelining Wavefront Computations: Experiences and Performance

  • E Christopher Lewis
  • Lawrence Snyder
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1800)

Abstract

Wavefront computations are common in scientific applications. Although it is well understood how wavefronts are pipelined for parallel execution, the question remains: How are they best presented to the compiler for the effective generation of pipelined code? We address this question through a quantitative and qualitative study of three approaches to expressing pipelining: programmer implemented via message passing, compiler discovered via automatic parallelization, and programmer defined via explicit parallel language features for pipelining. This work is the first assessment of the efficacy of these approaches in solving wavefront computations, and in the process, we reveal surprising characteristics of commercial compilers. We also demonstrate that a parallel language-level solution simplifies development and consistently performs well.

Keywords

Message Passing Interface Message Passing Array Reference Automatic Parallelization Stencil Computation 
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 2000

Authors and Affiliations

  • E Christopher Lewis
    • 1
  • Lawrence Snyder
    • 1
  1. 1.Department of Computer Science and EngineeringUniversity of WashingtonSeattleUSA

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