Overview of Distributed Linear Algebra on Hybrid Nodes over the StarPU Runtime

Emmanuel Agullo 1, 2 Olivier Aumage 1, 3 Mathieu Faverge 1, 2 Nathalie Furmento 1, 3 Florent Pruvost 2 Marc Sergent 1, 3 Samuel Thibault 1, 3
2 HiePACS - High-End Parallel Algorithms for Challenging Numerical Simulations
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
3 RUNTIME - Efficient runtime systems for parallel architectures
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : Runtime systems usually abstract a single node, like Plasma/Quark, Flame/SuperMatrix, Morse/StarPU,Dplasma/Parsec ... When going into harnessing cluster of nodes, how should they communicate? By using explicit MPI user calls ? By using a specific paradigm (Dplasma) ? Or can we keep the same paradigm and almost the same code, and leave the runtime system handle data transfers? We show how such a system has been sucessfully implemented on top of the StarPU runtime.
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Emmanuel Agullo, Olivier Aumage, Mathieu Faverge, Nathalie Furmento, Florent Pruvost, et al.. Overview of Distributed Linear Algebra on Hybrid Nodes over the StarPU Runtime. SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 2014), Feb 2014, Portland, Oregon, United States. ⟨hal-00978602⟩

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