Implementation of FEM Application on GPU with StarPU
THIBAULT, Samuel
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
NAMYST, Raymond
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
< Réduire
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Efficient runtime systems for parallel architectures [RUNTIME]
Langue
en
Communication dans un congrès
Ce document a été publié dans
SIAM CSE13 - SIAM Conference on Computational Science and Engineering 2013, 2013-02-25, Boston. 2013-02-25
Résumé en anglais
We are aiming at accelerating FEM application on multicore CPUs with GPU. While it isn't easy to obtain very good performance because FEM application requires many non-sequential memory accesses, our GPU implementation has ...Lire la suite >
We are aiming at accelerating FEM application on multicore CPUs with GPU. While it isn't easy to obtain very good performance because FEM application requires many non-sequential memory accesses, our GPU implementation has obtained better performance than multicore CPUs. We are now trying to accelerate FEM with StarPU runtime system. In this talk, we talk about the implementation and performance of it.< Réduire
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