吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1559-1564.doi: 10.13229/j.cnki.jdxbgxb201505026

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Performance portable GPU parallel optimization technique on Bellman-Ford algorithm

LIU Lei1, WANG Yan-yan1, SHEN Chun1, LI Yu-xiang2, LIU Lei3   

  1. 1.College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2.Citic Securities Co., Ltd., Beijing 100026, China;
    3.Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2014-05-06 Online:2015-09-01 Published:2015-09-01

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Abstract: A GPU-oriented performance portable parallel reduction algorithm for extreme value optimization and a global memory access optimization algorithm are presented to resolve the issues of deficient parallel granularity and global memory access conflict on different GPUs. Experimental results show that the presented optimization algorithms can obtain high performance on a variety of NVIDIA and AMD GPU devices, gaining a speedup of 3 to 6 times than existing methods.

Key words: computer software, Bellman-Ford algorithm, GPU parallel programing and optimization techniques, parallel reduction algorithm, performance portability

CLC Number: 

  • TP302
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