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APPLICATION OF MPI-IO IN PARALLEL PARTICLE TRANSPORT MONTE-CARLO SIMULATION

机译:MPI-IO在并行粒子传输蒙特卡洛模拟中的应用

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Parallel computers are increasingly being used to run large-scale applications that also have huge input/output (I/O) requirements. However, many applications usually obtain poor I/O performance on parallel machines. In this paper, we will address the parallel I/O of a parallel particle transport Monte-Carlo simulation code (PTMC) on a parallel computer. This paper shows that, without careful treatments, the I/O overheads will ultimately dominate the elapsed simulation time. Fortunately, we have successfully designed the parallel MPI I/O methods for it. In particular, for a benchmark application MAP6 with 105 steps of 100,000 samples, we have elevated the speedup from 10 with 64 processors to 56 with 90 processors. Moreover, our method is scalable for a larger number of CPUs and a larger number of samples.
机译:越来越多的并行计算机用于运行大型应用程序,这些应用程序也具有巨大的输入/输出(I / O)要求。但是,许多应用程序通常在并行计算机上获得较差的I / O性能。在本文中,我们将在并行计算机上处​​理并行粒子传输蒙特卡洛模拟代码(PTMC)的并行I / O。本文表明,如果不进行认真的处理,I / O开销最终将主导所经过的仿真时间。幸运的是,我们已经为它成功设计了并行MPI I / O方法。特别是,对于具有105个步骤(100,000个样本)的基准测试应用MAP6,我们已将速度从64个处理器的10个提高到90个处理器的56个。而且,我们的方法可扩展用于更多的CPU和更多的样本。

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