Meta-programming Applied to Automatic SMP Parallelization of Linear Algebra Code

Authors:
Joel Falcou;Jocelyn Sérot;Lucien Pech;Jean-Thierry Lapresté
Affiliations:
IEF, Université Paris Sud, Orsay, France;LASMEA, Université Blaise Pascal, Clermont-Ferrand, France;Ecole Normale Supérieure, Paris, France;LASMEA, Université Blaise Pascal, Clermont-Ferrand, France
Venue:
Euro-Par '08 Proceedings of the 14th international Euro-Par conference on Parallel Processing
Year:
2008

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Abstract

We describe a software solution to the problem of automatic parallelization of linear algebra code on multi-processor and multi-core architectures. This solution relies on the definition of a domain specific language for matrix computations, a performance model for multi-processor architectures and its implementation using C++ template meta-programming. Experimental results asses this model and its implementation on sample computation kernels.