13770

Evaluating kernels on Xeon Phi to accelerate Gysela application

G. Latu, M. Haefele, J. Bigot, V. Grandgirard, T. Cartier-Michaud, F. Rozar
CEA Cadarache, F-13108 Saint-Paul-les-Durance Cedex
arXiv:1503.04645 [physics.comp-ph], (16 Mar 2015)

@article{latu2015evaluating,

   title={Evaluating kernels on Xeon Phi to accelerate Gysela application},

   author={Latu, G. and Haefele, M. and Bigot, J. and Grandgirard, V. and Cartier-Michaud, T. and Rozar, F.},

   year={2015},

   month={mar},

   archivePrefix={"arXiv"},

   primaryClass={physics.comp-ph}

}

Download Download (PDF)   View View   Source Source   

576

views

This work describes the challenges presented by porting parts ofthe 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 somegeneric micro-benchmark on Phi versus Intel Sandy Bridge. Several interpolation kernels useful for the Gysela application are analyzed and the performance 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 peek 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.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: