The parallel computation of time-dependent Monte Carlo transport

Author

Li, Deng ; Jie, Liu ; Zhang Wenyong ; Guoxing, Yuan ; Zhengfeng, Huang ; Haiyan, Xu ; Ruihong, Wang ; Shu, Li

Author_Institution

Lab. Commun. Phys., Inst. of Appl. Phys. & Computational Math., Beijing, China

fYear

2003

fDate

6-9 Oct. 2003

Firstpage

223

Lastpage

229

Abstract

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.

Keywords

Monte Carlo methods; input-output programs; multiprocessing systems; parallel algorithms; processor scheduling; I/O models; Monte Carlo method; low-cost communication; multiple processors; parallel computation; particle transport problem; scattering source communication; Concurrent computing; Conferences; Monte Carlo methods; Parallel processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel Processing Workshops, 2003. Proceedings. 2003 International Conference on

ISSN

1530-2016

Print_ISBN

0-7695-2018-9

Type

conf

DOI

10.1109/ICPPW.2003.1240374

Filename

1240374