Volume 53, March 2016CEMRACS 2014 – Numerical Modeling of Plasmas
|Page(s)||211 - 231|
|Published online||01 April 2016|
Evaluating Kernels on Xeon Phi to accelerate Gysela application
1 CEA, IRFM, F-13108 Saint-Paul-lez-Durance
2 IPP, Boltzmannstrasse 2, D-85748 Garching
3 Maison de la Simulation, CEA/CNRS/Inria/Univ. Paris-Sud/Univ. de Versailles, F-91191, Gif-sur-Yvette Cedex
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.
© EDP Sciences, SMAI 2016
This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.