Comparative analysis of parallelised shortest path algorithms using Open MP

Uditi, M. Arun
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引用次数: 1

Abstract

This paper presents parallel implementations and includes performance analysis of three prominent graph algorithms (i.e., Bellman Ford, Floyd-Warshall and Dijkstra) used for finding the all-pairs of shortest paths. The algorithm implementations were parallelized using Open MP (Open Multi-Processing). Their performances were measured on 4 different configurations i.e. dual core i3, quad core i5, quad core i7 and 8 core processors. This paper also presents a comparative study of serial and parallel implementations of these algorithms keeping execution time and number of graph nodes as the parameter. Finally, the results show that, execution time can be reduced using parallel implementation for larger number of graph nodes. Also, the conclusions are drawn for the best algorithm to be used which works for all the graph nodes with less execution time.
并行最短路径算法的比较分析
本文介绍了并行实现,并包括三种著名的图算法(即Bellman Ford, Floyd-Warshall和Dijkstra)的性能分析,用于寻找最短路径的全对。算法实现采用Open MP (Open Multi-Processing)并行化。它们的性能在四种不同的配置上进行了测试,即双核i3、四核i5、四核i7和八核处理器。本文还以执行时间和图节点数为参数,对这些算法的串行和并行实现进行了比较研究。最后,实验结果表明,对于较大数量的图节点,采用并行实现可以减少执行时间。最后,给出了适用于所有图节点且执行时间更短的最佳算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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