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An efficient, robust, domain-decomposition algorithm for particle Monte Carlo

机译:一种高效,鲁棒的粒子蒙特卡洛域分解算法

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A previously described algorithm [T.A. Brunner, T.J. Urbatsch, T.M. Evans, N.A. Gentile, Comparison of four parallel algorithms for domain decomposed implicit Monte Carlo, Journal of Computational Physics 212 (2) (2006) 527-539] for doing domain decomposed particle Monte Carlo calculations in the context of thermal radiation transport has been improved. It has been extended to support cases where the number of particles in a time step are unknown at the beginning of the time step. This situation arises when various physical processes, such as neutron transport, can generate additional particles during the time step, or when particle splitting is used for variance reduction. Additionally, several race conditions that existed in the previous algorithm and could cause code hangs have been fixed. This new algorithm is believed to be robust against all race conditions. The parallel scalability of the new algorithm remains excellent.
机译:先前描述的算法[T.A.布鲁纳(T.J.乌尔巴契Evans,NA Gentile,用于域分解隐式蒙特卡洛的四种并行算法的比较,《计算物理学杂志》 212(2)(2006)527-539]改进了在热辐射输运情况下进行域分解粒子蒙特卡洛计算的方法。它已扩展为支持在时间步骤开始时未知时间步骤中粒子数量的情况。当各种物理过程(例如中子传输)在时间步长中生成额外的粒子时,或者将粒子分裂用于减少方差时,就会出现这种情况。此外,修复了先前算法中存在的几种竞态条件,这些竞态条件可能导致代码挂起。据信,这种新算法在所有比赛条件下均具有鲁棒性。新算法的并行可扩展性仍然很出色。

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