A fast GPU algorithm for biconnected components

Mihir Wadwekar, Kishore Kothapalli
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引用次数: 7

Abstract

Finding the articulation points and the biconnected components of an undirected graph has been a problem of huge interest in graph theory. Over the years, several sequential and parallel algorithms have been presented for this problem. Our paper here presents and implements a fast parallel algorithm on GPU which is to the best of our knowledge the first such attempt and also the fastest implementation across architectures. The implementation is on an average 4x faster then the next best implementation. We also apply an edge-pruning technique which results in a further 2x speedup for dense graphs.
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双连接组件的快速GPU算法
寻找无向图的连接点和双连通分量一直是图论研究的热点问题。多年来,已经提出了几种顺序和并行算法来解决这个问题。我们在这里提出并实现了一个GPU上的快速并行算法,据我们所知,这是第一次这样的尝试,也是跨架构最快的实现。该实现比次优实现平均快4倍。我们还应用了一种边缘修剪技术,使密集图的速度提高了2倍。
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