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CUDA and MPI performances on the computation of Rossi-α distribution from pulsed neutron sources

机译:从脉冲中子源计算Rossi-α分布的CUDA和MPI性能

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摘要

This study presents the methodology to calculate the Rossi-a distribution for a subcritical assembly driven by an external pulsed neutron source through MCNP6 computer simulations. The Rossi-a distribution is obtained from the signal (e.g., ~3He(n,p) reactions) of a neutron detector placed in one experimental channel of the subcritical assembly. The detector signal is obtained from MCNP6 computer simulations modeling a single pulse of the external neutron source. The MCNP6 output data for a single pulse of the external neutron source must be processed to take into account the effect of delayed neutrons born in all previous source pulses. The calculation of the Rossi-α distribution from a pulsed neutron source is time consuming because of the huge amount of processed data. Consequently, the algorithms introduced in this work use parallel computing platforms, e.g., CUDA or MPI, to reduce the computing time.
机译:这项研究提出了一种方法,可通过MCNP6计算机仿真来计算由外部脉冲中子源驱动的亚临界组件的Rossi-a分布。 Rossi-a分布是从置于次临界组件的一个实验通道中的中子探测器的信号(例如〜3He(n,p)反应)获得的。探测器信号是通过对外部中子源的单个脉冲建模的MCNP6计算机仿真获得的。必须处理外部中子源的单个脉冲的MCNP6输出数据,以考虑到所有先前的源脉冲中产生的延迟中子的影响。由于需要处理大量数据,因此从脉冲中子源计算Rossi-α分布非常耗时。因此,这项工作中引入的算法使用并行计算平台(例如CUDA或MPI)来减少计算时间。

著录项

  • 来源
    《Annals of nuclear energy》 |2015年第1期|168-175|共8页
  • 作者

    Alberto Talamo;

  • 作者单位

    Nuclear Engineering Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Rossi-α; Subcritical; CUDA; MPI; MCNP;

    机译:罗西-α;亚临界CUDA;MPI;纳米碳纳米管;

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