2003 International Conference on Parallel Processing Workshops (ICPPW'03)
The Parallel Communication of Time-Dependent Monte Carlo Transport
Kaohsiung, Taiwan
October 06-October 09
ISBN: 0-7695-2018-9
Deng Li, Institute of Applied Physics and Computational Mathematics, Beijing, China
Liu Jie, National University of Defense Technology, Changsha, China
Zhang Wenyong, National University of Defense Technology, Changsha, China
Yuan Guoxing, Institute of Applied Physics and Computational Mathematics, Beijing, China
Huang Zhengfeng, Institute of Applied Physics and Computational Mathematics, Beijing, China
Xu Haiyan, Institute of Applied Physics and Computational Mathematics, Beijing, China
Wang Ruihong, Institute of Applied Physics and Computational Mathematics, Beijing, China
Li Shu, Institute of Applied Physics and Computational Mathematics, Beijing, China
Parallel Monte Carlo methods are successful because particles are typically independent and easily distributed to multiple processors. For time-dependent Monte Carlo particle transport problem, due to the communication of each time-step about scattering source attribute and meshes, it reduces the parallel efficiency and limits enlarge of parallel scale. We research parallel computation of two types of time-dependent particle transport problems. Adaptive processor assignment in parallel computation and three parallel I/O models with low-cost communication are presented. The optimized processor choice is obtained. We propose a scheme that is based upon Monte Carlo layered sample technique. It is used to treat communication of scattering source. The parallel expandability is greatly improved. The large speedups over the basic methods are obtained.
Citation:
Deng Li, Liu Jie, Zhang Wenyong, Yuan Guoxing, Huang Zhengfeng, Xu Haiyan, Wang Ruihong, Li Shu, "The Parallel Communication of Time-Dependent Monte Carlo Transport," icppw, pp.223, 2003 International Conference on Parallel Processing Workshops (ICPPW'03), 2003