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  • 标题:Performance Evaluation and Optimization of HPCG benchmark on CPU + MIC platform
  • 本地全文:下载
  • 作者:Qingyi Pan ; Xiaoying Wang
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2016
  • 卷号:9
  • 期号:11
  • 页码:239-254
  • 出版社:SERSC
  • 摘要:High-performance conjugate gradient (HPCG) is the latest benchmark adopted by the TOP500 organization, and thus how to optimize the HPCG source code for different heterogeneous computing platforms to achieve a higher floating-point computation rate has already become a new hot issue in HPC field. In the paper, we used the CPU + MIC heterogeneous computing platforms, and successfully ported HPCG to the platform. Through the analysis of HPCG source code and optimization for CPU + MIC platforms, practical significance and the value of further research is put forward. Results of performing the benchmark indicate that the design of optimization methods is reasonable and has facilitated the speedup of HPCG benchmark.
  • 关键词:HPCG benchmark; HPL benchmark; MIC co-processor; heterogeneous ;computing
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