期刊文献+

颗粒复合材料代表体元并行建模算法研究 被引量:3

A Study of Grain Packing Model Algorithm Based on Parallel Computing
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摘要 为了利用细观力学方法研究复合固体推进剂材料的力学性能,需要建立具有代表性的推进剂细观胞元模型,针对当前算法普遍存在的计算效率低下问题,依据分子动力学思想生成颗粒堆积模型的性能特性,通过分析负载均衡和消息通信,提出了并行模型的三个准则,设计了区域分解的并行策略,并利用共享存储并行和分布式存储并行两级并行手段实现了并行算法。最后在IBMBladeCenter集群平台上通过实例证明算法可以缓解负载均衡并缩减通信开销,上述试验数据验证了算法的高效性,达到了提高胞元生成效率的目的。 A micromechanical model of composite propellant needs to be built for the mechanical analysis of composite propellant,so a parallel algorithm is designed with domain decomposition based on analysing the computing performance of the serial packing model algorithm based on Molecular Dynamics.The parallel algorithm implemented by MPI+OpenMP improves the efficiency of packing model.Finally,through the performance test on the IBM BladeCenter cluster,the simulation experiments prove that the method can improve load balance and decrease inter-process communication.Some collected data verify the efficency of the algorithm.
出处 《计算机仿真》 CSCD 北大核心 2010年第1期46-49,共4页 Computer Simulation
关键词 颗粒堆积模型 域分解 分布式并行 共享存储并行 并行算法 Random packing Domain decomposition MPICH OpenMP Parallel algorithm
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共引文献138

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