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This work describes the challenges presented by porting parts ofthe Gyselacode to the Intel Xeon Phi coprocessor, as well as techniques used foroptimization, vectorization and tuning that can be applied to otherapplications. We evaluate the performance of somegeneric micro-benchmark on Phiversus Intel Sandy Bridge. Several interpolation kernels useful for the Gyselaapplication are analyzed and the performance are shown. Some memory-bound andcompute-bound kernels are accelerated by a factor 2 on the Phi device comparedto Sandy architecture. Nevertheless, it is hard, if not impossible, to reach alarge fraction of the peek performance on the Phi device,especially forreal-life applications as Gysela. A collateral benefit of this optimization andtuning work is that the execution time of Gysela (using 4D advections) hasdecreased on a standard architecture such as Intel Sandy Bridge.

Evaluating kernels on Xeon Phi to accelerate Gysela application