International Journal of Parallel Programming

, Volume 28, Issue 6, pp 607–631

Index Set Splitting

  • Martin Griebl
  • Paul Feautrier
  • Christian Lengauer
Article

DOI: 10.1023/A:1007516818651

Cite this article as:
Griebl, M., Feautrier, P. & Lengauer, C. International Journal of Parallel Programming (2000) 28: 607. doi:10.1023/A:1007516818651

Abstract

There are many algorithms for the space-time mapping of nested loops. Some of them even make the optimal choices within their framework. We propose a preprocessing phase for algorithms in the polytope model, which extends the model and yields space-time mappings whose schedule is, in some cases, orders of magnitude faster. These are cases in which the dependence graph has small irregularities. The basic idea is to split the index set of the loop nests into parts with a regular dependence structure and apply the existing space-time mapping algorithms to these parts individually. This work is based on a seminal idea in the more limited context of loop parallelization at the code level. We elevate the idea to the model level (our model is the polytope model), which increases its applicability by providing a clearer and wider range of choices at an acceptable analysis cost. Index set splitting is one facet in the effort to extend the power of the polytope model and to enable the generation of competitive target code.

automatic loop parallelization scheduling polytope model 

Copyright information

© Plenum Publishing Corporation 2000

Authors and Affiliations

  • Martin Griebl
    • 1
  • Paul Feautrier
    • 2
  • Christian Lengauer
    • 1
  1. 1.Universität PassauFMIPassauGermany
  2. 2.Université de VersaillesPRiSMVersaillesFrance

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