Implementation of FEM Application on GPU with StarPU - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2013

Implementation of FEM Application on GPU with StarPU

Résumé

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.
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Dates et versions

hal-00926144 , version 1 (09-01-2014)

Identifiants

  • HAL Id : hal-00926144 , version 1

Citer

Satoshi Ohshima, Satoshi Katagiri, Kengo Nakajima, Samuel Thibault, Raymond Namyst. Implementation of FEM Application on GPU with StarPU. SIAM CSE13 - SIAM Conference on Computational Science and Engineering 2013, SIAM, Feb 2013, Boston, United States. ⟨hal-00926144⟩
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