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基于集群系统的3D格点Monte Carlo算法并行实现
引用本文:雷咏梅,蒋英,冯捷.基于集群系统的3D格点Monte Carlo算法并行实现[J].上海大学学报(英文版),2002,6(4):319-324.
作者姓名:雷咏梅  蒋英  冯捷
作者单位:SchoolofComputerEngineeringandScience,ShanghaiUniversity,Shanghai200072,China
基金项目:SupportedbyScienceFoundationofShanghaiMunicipalCom missionofEducation (0 1A0 1)
摘    要:This paper presents a new approach to parallelize 3D lattice Monte Carlo algorithms used in the numerical simulation of polymer on ZiQiang 2000-a cluster of symmetric multiprocessors(SMPs).The combined load for cell and energy calculations over the time step is balanced together to form a single spatial decomposition.Basic aspects and strategies of running Monte Carlo calculations on parallel computers are studied.Different steps involved in porting the software on a parallel architecture based on ZiQiang 2000 running under Linux and MPI are described briefly.It is found that parallelization becomes more advantageous when either the lattice is very large or the model contains many cells and chains.

关 键 词:集群系统  3D格点Monte  Carlo算法  并行算法  并行计算
收稿时间:20 December 2001

Implementation of 3D lattice Monte Carlo simulation on a cluster of symmetric multiprocessors
Yong-Mei Lei Ph. D.,Ying Jiang,Jie Feng.Implementation of 3D lattice Monte Carlo simulation on a cluster of symmetric multiprocessors[J].Journal of Shanghai University(English Edition),2002,6(4):319-324.
Authors:Yong-Mei Lei Ph D  Ying Jiang  Jie Feng
Institution:School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China
Abstract:This paper presents a new approach to parallelize 3D lattice Monte Carlo algorithms used in the numerical simulation of polymer on ZiQiang 2000 a cluster of symmetric multiprocessors (SMPs). The combined load for cell and energy calculations over the time step is balanced together to form a single spatial decomposition. Basic aspects and strategies of running Monte Carlo calculations on parallel computers are studied. Different steps involved in porting the software on a parallel architecture based on ZiQiang 2000 running under Linux and MPI are described briefly. It is found that parallelization becomes more advantageous when either the lattice is very large or the model contains many cells and chains.
Keywords:parallel computing  Monte Carlo method  3D simulation  
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