Evaluating Kernels on Xeon Phi to accelerate Gysela application
ESAIM. Proceedings, Tome 53 (2016), pp. 211-231
Cet article a éte moissonné depuis la source EDP Sciences
This work describes the challenges presented by porting parts of the Gysela code to the Intel Xeon Phi coprocessor, as well as techniques used for optimization, vectorization and tuning that can be applied to other applications. We evaluate the performance of some generic micro-benchmark on Phi versus Intel Sandy Bridge. Several interpolation kernels useful for the Gysela application are analyzed and the performances are shown. Some memory-bound and compute-bound kernels are accelerated by a factor 2 on the Phi device compared to Sandy architecture. Nevertheless, it is hard, if not impossible, to reach a large fraction of the peak performance on the Phi device, especially for real-life applications as Gysela. A collateral benefit of this optimization and tuning work is that the execution time of Gysela (using 4D advections) has decreased on a standard architecture such as Intel Sandy Bridge.
Affiliations des auteurs :
Guillaume Latu 1 ; Matthieu Haefele 2, 3 ; Julien Bigot 3 ; Virginie Grandgirard 1 ; Thomas Cartier-Michaud 1 ; Fabien Rozar 1, 3
@article{EP_2016_53_a13,
author = {Guillaume Latu and Matthieu Haefele and Julien Bigot and Virginie Grandgirard and Thomas Cartier-Michaud and Fabien Rozar},
title = {Evaluating {Kernels} on {Xeon} {Phi} to accelerate {Gysela} application},
journal = {ESAIM. Proceedings},
pages = {211--231},
year = {2016},
volume = {53},
doi = {10.1051/proc/201653013},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.1051/proc/201653013/}
}
TY - JOUR AU - Guillaume Latu AU - Matthieu Haefele AU - Julien Bigot AU - Virginie Grandgirard AU - Thomas Cartier-Michaud AU - Fabien Rozar TI - Evaluating Kernels on Xeon Phi to accelerate Gysela application JO - ESAIM. Proceedings PY - 2016 SP - 211 EP - 231 VL - 53 UR - http://geodesic.mathdoc.fr/articles/10.1051/proc/201653013/ DO - 10.1051/proc/201653013 LA - en ID - EP_2016_53_a13 ER -
%0 Journal Article %A Guillaume Latu %A Matthieu Haefele %A Julien Bigot %A Virginie Grandgirard %A Thomas Cartier-Michaud %A Fabien Rozar %T Evaluating Kernels on Xeon Phi to accelerate Gysela application %J ESAIM. Proceedings %D 2016 %P 211-231 %V 53 %U http://geodesic.mathdoc.fr/articles/10.1051/proc/201653013/ %R 10.1051/proc/201653013 %G en %F EP_2016_53_a13
Guillaume Latu; Matthieu Haefele; Julien Bigot; Virginie Grandgirard; Thomas Cartier-Michaud; Fabien Rozar. Evaluating Kernels on Xeon Phi to accelerate Gysela application. ESAIM. Proceedings, Tome 53 (2016), pp. 211-231. doi: 10.1051/proc/201653013
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