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  • 标题:GPU Performnace of Conjugate Gradient Solver with Staggered Fermions
  • 本地全文:下载
  • 作者:H.J. Kim
  • 期刊名称:PoS - Proceedings of Science
  • 印刷版ISSN:1824-8039
  • 出版年度:2010
  • 卷号:2010
  • 出版社:SISSA, Scuola Internazionale Superiore di Studi Avanzati
  • 摘要:We report results of the performance test of GPUs obtained using the conjugate gradient (CG) algorithm for staggered fermions on the MILC fine lattice (283 96). We use GPUs of nVIDIA GTX 295 model for the test. When we turn off the MPI communication and use only a single GPU, the performance is 35 giga flops in double precision, which corresponds to 47% of the peak. When we turn on the MPI communication and use multi-GPUs, the performance is reduced down to 12.3 giga flops. The data transfer through the infiniband network and PCI-E bus I/O is a main bottle neck. We suggest two potential solutions of how to optimize the data transfer
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