Skip to Main content Skip to Navigation
Journal articles

SIMD Monte-Carlo Numerical Simulations Accelerated on GPU and Xeon Phi

Abstract : The efficiency of a pleasingly parallel application is studied for several computing platforms. A real world problem, i.e., Monte-Carlo numerical simulations of stratospheric balloon envelope drift descent is considered. We detail the optimization of the SIMD parallel codes on the K40 and K80 GPUs as well as on the Intel Xeon Phi. We emphasize on loop and task parallelism, multi-threading and vectorization, respectively. The experiments show that GPU and MIC permit one to decrease computing time by non negligeable factors, as compared to a parallel code implemented on a two sockets CPU (E5-2680-v2) which finally allows us to use these devices in operational conditions
Complete list of metadata

https://hal.laas.fr/hal-02091696
Contributor : Didier El Baz <>
Submitted on : Saturday, April 6, 2019 - 9:45:49 AM
Last modification on : Wednesday, June 9, 2021 - 10:00:24 AM
Long-term archiving on: : Sunday, July 7, 2019 - 12:27:00 PM

File

scan171743.pdf
Files produced by the author(s)

Identifiers

Citation

Bastien Plazolles, Didier El Baz, Martin Spel, Vincent Rivola, Pascal Gegout. SIMD Monte-Carlo Numerical Simulations Accelerated on GPU and Xeon Phi. International Journal of Parallel Programming, Springer Verlag, 2018, 46 (3), pp.584-606. ⟨10.1007/s10766-017-0509-y⟩. ⟨hal-02091696⟩

Share

Metrics

Record views

198

Files downloads

421