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Short Paper: Maintenance of Strongly Connected Component in Shared-Memory Graph

机译:简短论文:在共享内存图中维护强连接的组件

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In this paper, we present an on-line fully dynamic algorithm for maintaining strongly connected component of a directed graph in a shared memory architecture. The edges and vertices are added or deleted concurrently by fixed number of threads. To the best of our knowledge, this is the first work to propose using linearizable concurrent directed graph and is build using both ordered and unordered list-based set. We provide an empirical comparison against sequential and coarse-grained. The results show our algorithm's throughput is increased between 3 to 6x depending on different workload distributions and applications. We believe that there are huge applications in the on-line graph. Finally, we show how the algorithm can be extended to community detection in on-line graph.
机译:在本文中,我们介绍了一种在线完全动态动态算法,用于在共享内存架构中维护有向图的强连接组件。通过固定数量的线程同时添加或删除边缘和顶点。据我们所知,这是第一个建议使用可直链并发定向图的工作,并使用有序和无序列表的集合构建。我们提供了对顺序和粗粒的实证比较。结果表明,根据不同的工作负载分布和应用,我们的算法的吞吐量增加到3到6倍。我们认为在线图中存在巨大的应用。最后,我们展示了如何将算法扩展到在线图中的社区检测。

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