A novel parallel algorithm for near-field computation in N-body problem on GPU
نویسندگان
چکیده
A novel efficient parallel algorithm for the near-field computation in N-body problem on the Graphics Processing Unit (GPU) architecture is proposed in this paper. This algorithm evolved from the BPB algorithm [1] which is proposed in the author’s previous work. This novel algorithm is based on the Newton’s third law and Z-order Space Filling Curve (Z-SFC). Half of the computations are reduced and the highest speedup of the Compute Unified Device Architecture (CUDA) implementation compared to the serial CPU implementation reaches 326. Through the quantitative analysis of this algorithm, we propose the GPU optimization model of transformation between data access and computation. Keywords-parallel algorithm; GPU; CUDA; N-body; nearfield computation; Newton’s third law; Z-SFC
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تاریخ انتشار 2011