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Multi-target C++ implementation of parallel skeletons

Wilfried Kirschenmann 1, 2 Laurent Plagne 1 Stéphane Vialle 2, 3
2 ALGORILLE - Algorithms for the Grid
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents the design of an efficient multi-target (CPU+GPU) implementation for the Parallel_for skeleton. Emerging massively parallel architectures promise very high performances for a low cost. However, these architectures change faster than ever. Thus, optimization of codes becomes a very complex and time consumming task. We have identified the data storage as the main difference between the CPU and the GPU implementation of a code. We introduce an abstract data layout in order to adapt the data storage. Based on this layout, the utilization of Parallel_for skeleton allows to compile and execute the same program both on CPU and on GPU. Once compiled, the program runs close to the hardware limits.
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https://hal-supelec.archives-ouvertes.fr/hal-00437542
Contributor : Sébastien van Luchene <>
Submitted on : Monday, November 30, 2009 - 6:32:37 PM
Last modification on : Tuesday, April 21, 2020 - 10:58:27 AM

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Wilfried Kirschenmann, Laurent Plagne, Stéphane Vialle. Multi-target C++ implementation of parallel skeletons. 8th workshop on Parallel/High-Performance Object-Oriented Scientific Computing - POOSC'09, Jul 2009, Genova, Italy. pp.1-10, ⟨10.1145/1595655.1595662⟩. ⟨hal-00437542⟩

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