Evaluating Kernels on Xeon Phi to accelerate GYSELA application

Guillaume Latu (1) , Matthieu Haefele (2, 3) , Julien Bigot (3) , Virginie Grandgirard (1) , Thomas Cartier-Michaud (1) , Fabien Rozar (1, 3)

1 IRFM - Institut de Recherche sur la Fusion par confinement Magnétique
2 IPP - Max-Planck-Institut für Plasmaphysik [Garching]
3 MDLS - Maison de la Simulation

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.

Domains: Performance [cs.PF]

Guillaume Latu, Matthieu Haefele, Julien Bigot, Virginie Grandgirard, Thomas Cartier-Michaud, et al.. Evaluating Kernels on Xeon Phi to accelerate GYSELA application. ESAIM: PROCEEDINGS AND SURVEYS, Jul 2014, CIRM – Centre International de Rencontres Mathématiques, Marseille, France. pp.211-231, ⟨10.1051/proc/201653013⟩. ⟨cea-01305499⟩