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Optimization of fusion plasma codes

Asahi, Yuichi  ; Latu, G.*; Ina, Takuya; Idomura, Yasuhiro  ; Virginie, G.*; Garbet, X.*

We present the optimization of kernels from fusion plasma codes, GYSELA and GT5D, on Tera-flops many-core architecturesincluding accelerators (Xeon Phi, GPU), and a multi-core CPUs (FX100). GYSELA kernel is based on a semi-Lagrangian scheme with high arithmetic intensity. Through the optimization of GYSELA kernel on Xeon Phi, we show the importance of the vectorization on Xeon Phi. For GT5D kernel, which is based on a finite difference scheme, a sophisticated memory access is necessary for high performance. Through the optimization of GT5D kernel on GPUs, we show the effective optimization for memory access on GPUs.

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