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On parallel push-relabel based algorithms for bipartite maximum matching

机译:基于并行推送重标记的二分法最大匹配算法

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We study multithreaded push-relabel based algorithms for computing maximum cardinality matching in bipartite graphs. Matching is a fundamental combinatorial problem with applications in a wide variety of problems in science and engineering. We are motivated by its use in the context of sparse linear solvers for computing the maximum transversal of a matrix. Other applications can be found in many fields such as bioinformatics (Azad et al., 2010) [4], scheduling (Timmer and Jess, 1995) [27], and chemical structure analysis (John, 1995) [14]. We implement and test our algorithms on several multi-socket multicore systems and compare their performance to state-of-the-art augmenting path-based serial and parallel algorithms using a test set comprised of a wide range of real-world instances.
机译:我们研究了基于多线程推入重标记的算法,用于计算二部图中的最大基数匹配。匹配是一个基本的组合问题,在科学和工程学中的各种问题中都有应用。我们在稀疏线性求解器的上下文中使用它来计算矩阵的最大横截面,这激发了我们的动力。其他应用可以在许多领域中找到,例如生物信息学(Azad等,2010)[4],调度(Timmer和Jess,1995)[27]以及化学结构分析(John,1995)[14]。我们在多个多路多核系统上实施和测试我们的算法,并使用包含大量实际实例的测试集,将其性能与最新的基于增强路径的串行和并行算法进行比较。

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