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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.  相似文献   
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根据现代教育理论,以及中师化学教学大纲、教材的要求,结合学生的学情和自己的教学实践,自己突破传统的教学模式,本着把学生从化学科学的门外导进去,再引出来的原则,以求在学习化学知识的同时,培养其科学品质和科学思维方式为总体构思,在化学教学中实施了四程序教...  相似文献   
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In this paper,a novel hybrid method is presented for finding global optimization of an objective function.Based on the interval computation,this hybrid method combines interval deterministic method and stochastic evolution method.It can find global optimization quickly while ensuring the deterministic and stability of the algorithm.When using interval computation,extra width constraints accuracy of interval computation results.In this paper,a splitting method to reduce the extra width is introduced.This met...  相似文献   
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