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  • 标题:GPU-Accelerated Parallel FDTD on Distributed Heterogeneous Platform
  • 本地全文:下载
  • 作者:Ronglin Jiang ; Shugang Jiang ; Yu Zhang
  • 期刊名称:International Journal of Antennas and Propagation
  • 印刷版ISSN:1687-5869
  • 电子版ISSN:1687-5877
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1155/2014/321081
  • 出版社:Hindawi Publishing Corporation
  • 摘要:This paper introduces a (finite difference time domain) FDTD code written in Fortran and CUDA for realistic electromagnetic calculations with parallelization methods of Message Passing Interface (MPI) and Open Multiprocessing (OpenMP). Since both Central Processing Unit (CPU) and Graphics Processing Unit (GPU) resources are utilized, a faster execution speed can be reached compared to a traditional pure GPU code. In our experiments, 64 NVIDIA TESLA K20m GPUs and 64 INTEL XEON E5-2670 CPUs are used to carry out the pure CPU, pure GPU, and CPU
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