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首页> 外文期刊>Mathematical Problems in Engineering >Parallel Numerical Simulations of Three-Dimensional Electromagnetic Radiation with MPI-CUDA Paradigms
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Parallel Numerical Simulations of Three-Dimensional Electromagnetic Radiation with MPI-CUDA Paradigms

机译:MPI-CUDA范例对三维电磁辐射的并行数值模拟

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摘要

Using parallel computation can enhance the performance of numerical simulation of electromagnetic radiation and get great runtime reduction. We simulate the electromagnetic radiation calculation based on the multicore CPU and GPU Parallel Architecture Clusters by using MPI-OpenMP and MPI-CUDA hybrid parallel algorithm. This is an effective solution comparing to the traditional finite-difference time-domain method which has a shortage in the calculation of the electromagnetic radiation on the problem of inadequate large data space and time. What is more, we use regional segmentation, subregional data communications, consolidation, and other methods to improve procedures nested parallelism and finally verify the correctness of the calculation results. Studying these two hybrid models of parallel algorithms run on the high-performance cluster computer, we draw the conclusion that both models are suitable for large-scale numerical calculations, and MPI-CUDA hybrid model can achieve higher speedup.
机译:使用并行计算可以提高电磁辐射数值模拟的性能,并大大减少运行时间。我们使用MPI-OpenMP和MPI-CUDA混合并行算法,模拟了基于多核CPU和GPU并行架构集群的电磁辐射计算。与传统的有限差分时域方法相比,这是一种有效的解决方案,该方法在数据空间和时间不足的问题上在电磁辐射的计算方面存在不足。此外,我们使用区域分割,次区域数据通信,合并和其他方法来改进嵌套嵌套程序的过程,并最终验证计算结果的正确性。研究在高性能集群计算机上运行的这两种并行算法的混合模型,我们得出的结论是,这两种模型都适合进行大规模数值计算,而MPI-CUDA混合模型可以实现更高的加速比。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第11期|823426.1-823426.9|共9页
  • 作者单位

    Shanghai Univ, Ctr High Performance Comp, Shanghai 200436, Peoples R China.;

    Shanghai Univ, Ctr High Performance Comp, Shanghai 200436, Peoples R China.;

    Shanghai Univ, Ctr High Performance Comp, Shanghai 200436, Peoples R China.;

    Shanghai Univ, Ctr High Performance Comp, Shanghai 200436, Peoples R China.;

    Shanghai Univ, Ctr High Performance Comp, Shanghai 200436, Peoples R China.;

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