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水质预报系统的MPI+OpenMP并行优化研究
引用本文:李春. 水质预报系统的MPI+OpenMP并行优化研究[J]. 河北工程大学学报(社会科学版), 2015, 32(2): 77-81
作者姓名:李春
作者单位:河北工程大学 信息与电气工程学院, 河北 邯郸 056038
基金项目:河北省自然科学基金项目(F2015402077)
摘    要:OpenMP(Open Multi-Processing)能够在共享存储环境中获得理想的并行性能,MPI+OpenMP混合并行编程模型更贴近于多核心集群的体系结构。在多核心集群上进行实验,混合模型相对串行程序可缩短95%的运算时间,加速比超过20。实验结果表明,该混合模型比纯MPI并行的系统具有更优的加速比和扩展性,是对纯MPI并行系统的一种改进。

关 键 词:多核心集群  水质预报系统  消息传递接口  开放式多处理  混合并行编程模型

Research on MPI+OpenMP parallel optimization of water quality forecast system
LI Chun. Research on MPI+OpenMP parallel optimization of water quality forecast system[J]. , 2015, 32(2): 77-81
Authors:LI Chun
Affiliation:School of Information and Electrical Engineering, Hebei University of Engineering, Hebei Handan 056038, China
Abstract:OpenMP(Open Multi-Processing)can achieve an ideal parallel performance on shared storage system. MPI+OpenMP hybrid parallel programming model is closer to the architecture of multi-core clusters. The hybrid model on the multi-core cluster was executed. The test results showed that the hybrid parallel programming model could reduce 95% of the run time of the serial program. And its parallel speed-up ratio was more than 20. This paper shows the hybrid parallel model is an improvement of the pure MPI parallel system with better speed-up ratio and scalability.
Keywords:multi-core cluster  water quality forecast system  MPI  OpenMP  hybrid parallel programming model
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