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Coarse-Grained Loop Parallelization: Iteration Space Slicing vs Affine Transformations

Anna Beletska 1 Wlodzirmierz Bielecki 2 Albert Cohen 1 Marek Palkowski 2 Krzysztof Siedlecki 2
1 ALCHEMY - Architectures, Languages and Compilers to Harness the End of Moore Years
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France
Abstract : Automatic coarse-grained parallelization of pro- gram loops is of great importance for multi-core computing systems. This paper presents a comparison of Iteration Space Slicing and Affine Transformation Framework algorithms aimed at extracting coarse-grained parallelism available in arbitrarily nested parameterized affine loops. We demonstrate that Iteration Space Slicing permits for extracting more coarse-grained paral- lelism in comparison to the Affine Transformation Framework. Experimental results show that by means of Iteration Space Slicing algorithms, we are able to extract coarse-grained paral- lelism for most loops of the NAS and UTDSP benchmarks, and that there is a strong need in devising advanced algorithms for calculating the exact transitive closure of dependence relations in order to increase the applicability of that framework.
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Anna Beletska, Wlodzirmierz Bielecki, Albert Cohen, Marek Palkowski, Krzysztof Siedlecki. Coarse-Grained Loop Parallelization: Iteration Space Slicing vs Affine Transformations. The 11th International Symposium on Parallel and Distributed Computing, Jul 2009, Munich, Germany. ⟨hal-00645329⟩

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