A General Purpose Branch and Bound Parallel Algorithm

A. Dimopoulos, C. Pavlatos, G. Papakonstantinou
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Abstract

In this paper a parallel algorithm for branch and bound applications is proposed. The algorithm is a general purpose one and it can be used to parallelize effortlessly any sequential branch and bound style algorithm, that is written in a certain format. It is a distributed dynamic scheduling algorithm, i.e. each node schedules the load of its cores, it can be used with different programming platforms and architectures and is a hybrid algorithm (OpenMP, MPI). To prove its validity and efficiency the proposed algorithm has been implemented and tested with numerous examples in this paper that are described in detail. A speed-up of about 9 has been achieved for the tested examples, for a cluster of three nodes with four cores each.
一种通用分支定界并行算法
本文提出了一种分支定界应用的并行算法。该算法是一种通用的算法,它可以毫不费力地并行化任何顺序分支和定界算法,这些算法都是以某种格式编写的。它是一种分布式动态调度算法,即每个节点调度其核心的负载,它可以在不同的编程平台和架构下使用,是一种混合算法(OpenMP, MPI)。为了证明该算法的有效性和高效性,本文对该算法进行了详细的实例实现和测试。对于测试的示例,对于三个节点,每个节点有四个核心的集群,已经实现了大约9的加速。
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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