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A Parallel Technique for Partitioning Nodes of Weighted Graphs

机译:加权图节点划分的并行技术

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In this paper we describe the basic scheme of an algorithm for optimising graph partitions which arise in mapping an application represented by an undirected graph to parallel computers. We introduce the domain of a minimum and two kinds of operations, simple migration and subgraph migration. The first one consists of moving one vertex of a graph at a time and can be effectively used inside domains to reach local minima. The second is used to change the domain, when the first one cannot operate. Subgraph migration consists of moving a connected subgraph to get out of the local minimum. We give the properties and principles of subset migration, and demonstrate these by experimental results.
机译:在本文中,我们描述了一种优化图分区的算法的基本方案,该图分区是在将无向图表示的应用程序映射到并行计算机时出现的。我们介绍了最小域和两种操作,简单迁移和子图迁移。第一个包括一次移动一个图形的顶点,并且可以有效地在域内部使用以达到局部最小值。当第一个无法操作时,第二个用于更改域。子图迁移包括移动连接的子图以脱离局部最小值。我们给出了子集迁移的属性和原理,并通过实验结果进行了演示。

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