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Random numbers for parallel computers: Requirements and methods, with emphasis on GPUs

机译:并行计算机的随机数:要求和方法,重点是GPU

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摘要

We examine the requirements and the available methods and software to provide (or imitate) uniform random numbers in parallel computing environments. In this context, for the great majority of applications, independent streams of random numbers are required, each being computed on a single processing element at a time. Sometimes, thousands or even millions of such streams are needed. We explain how they can be produced and managed. We devote particular attention to multiple streams for GPU devices.
机译:我们研究了在并行计算环境中提供(或模仿)统一随机数的要求以及可用的方法和软件。在这种情况下,对于大多数应用程序,需要独立的随机数流,每个流一次在单个处理元素上进行计算。有时,需要成千上万个这样的流。我们解释了如何生产和管理它们。我们特别关注GPU设备的多个流。

著录项

  • 来源
    《Mathematics and computers in simulation》 |2017年第5期|13-17|共5页
  • 作者单位

    DIRO, Pavilion Aisenstadt, University de Montreal, C.P.6128, Succ. Centre-Ville, Montreal (QC), Canada H3C 3J7,Inria Rennes Bretagne Atlantique, Campus Universitaire de Beaulieu, 35042 Rennes Cedex, France;

    DIRO, Pavilion Aisenstadt, University de Montreal, C.P.6128, Succ. Centre-Ville, Montreal (QC), Canada H3C 3J7;

    DIRO, Pavilion Aisenstadt, University de Montreal, C.P.6128, Succ. Centre-Ville, Montreal (QC), Canada H3C 3J7;

    DIRO, Pavilion Aisenstadt, University de Montreal, C.P.6128, Succ. Centre-Ville, Montreal (QC), Canada H3C 3J7;

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

    Random number generators; Multiple streams; Parallel computing; Simulation; Monte Carlo;

    机译:随机数生成器;多流;并行计算模拟;蒙特卡洛;

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