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Acceleration of wind simulation using locally mesh-refined Lattice Boltzmann Method on GPU-Rich supercomputers

Onodera, Naoyuki   ; Idomura, Yasuhiro   

We developed a CFD code based on the adaptive mesh-refined Lattice Boltzmann Method (AMR-LBM). The code is developed on the GPU-rich supercomputer TSUBAME3.0 at the Tokyo Tech, and the GPU kernel functions are tuned to achieve high performance on the Pascal GPU architecture. The performances of weak scaling from 1 nodes to 36 nodes are examined. The GPUs (NVIDIA TESLA P100) achieved more than 10 times higher node performance than that of CPUs (Broadwell).

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