CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2017, Vol. 34 ›› Issue (1): 67-72.

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Pseudo-Random Numbers for Identical Results on Varying Numbers of Processors in Domain Decomposed Particle Monte Carlo Simulations

LI Gang1,2, ZHANG Baoyin1,2, DENG Li1,2, SHANGGUAN Danhua1,2, LI Rui2, MA Yan1,2, FU Yuanguang2, HU Xiaoli2   

  1. 1. Institute of Applied Physics and Computational Mathematics, Beijing 100094, China;
    2. CAEP Software Center for High Performance Numerical Simulation, Beijing 100088, China
  • Received:2015-10-27 Revised:2016-02-04 Online:2017-01-25 Published:2017-01-25

Abstract: Detailed modeling and massive tallying of nuclear reactors lead to memory overload for a single core processor.It could not be calculated by Monte Carlo particle transport with particle parallelism only.Domain decomposition is one of solutions.Domain decomposition needs to interchange particles between processors, so that inherit technique of pseudo-random number could not make identical results between serial and parallel.Two techniques of pseudo-random number are described to obtain identical results on different numbers of domains in a Monte Carlo particle simulation code.

Key words: pseudo-random number, Monte Carlo, domain decomposition, JCOGIN, JMCT

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