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MCNP程序并行计算性能分析 被引量:6

Analysis of parallel computing performance of the code MCNP
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摘要 并行计算可以有效地减少MCNP程序的计算时间。利用MPI消息传递软件,可以在安装Win-dows操作系统的PC集群上实现MCNP5的并行计算。MCNP程序的并行计算性能与所计算问题的类型、复杂程度及参数设置等因素有关,对此进行了分析并提出了改善MCNP程序并行计算性能的措施。 Parallel computing can reduce the running time of the code MCNP effectively. With the MPI message transmitting software, MCNP5 can achieve its parallel computing on PC cluster with Windows operating system. Parallel computing performance of MCNP is influenced by factors such as the type, the complexity level and the parameter configuration of the computing problem. This paper analyzes the parallel computing performance of MCNP regarding with these factors and gives measures to improve the MCNP parallel computing performance.
出处 《核科学与工程》 CSCD 北大核心 2006年第4期301-306,共6页 Nuclear Science and Engineering
关键词 MCNP 并行计算 MCNP parallel computing
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参考文献5

  • 1蒙特卡罗方法.清华大学讲义.
  • 2都志辉.高性能并行编程技术-MPI并行程序设计[M].北京:清华大学出版社,2001..
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  • 4Charles D.Harmon Ⅱ,et al.Criticality Calculations with MCNP:A Primer[R].Los Alamos National Laboratory,1994.
  • 5Nathan Carstens.Building a Beowulf Cluster for MCNP Performance; A Low Cost Solution[R].MIT Department of Nuclear Engineering,2003.

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