English

Evaluating kernels on Xeon Phi to accelerate Gysela application

Computational Physics 2015-08-04 v2 Distributed, Parallel, and Cluster Computing Performance

Abstract

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.

Keywords

Cite

@article{arxiv.1503.04645,
  title  = {Evaluating kernels on Xeon Phi to accelerate Gysela application},
  author = {G. Latu and M. Haefele and J. Bigot and V. Grandgirard and T. Cartier-Michaud and F. Rozar},
  journal= {arXiv preprint arXiv:1503.04645},
  year   = {2015}
}

Comments

submitted to ESAIM proceedings for CEMRACS 2014 summer school version reviewed

R2 v1 2026-06-22T08:54:02.431Z