Parallel Shortest Paths with Negative Edge Weights

Parallel Shortest Paths with Negative Edge Weights
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具有负边权重的并行最短路径

DOI:
10.1145/3490148.3538583
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发表时间:
2022
期刊:
SPAA '22: Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures
影响因子:
--
通讯作者:
Russell, Katina
Russell, Katina
中科院分区:
--
文献类型:
--
作者:
Cao, Nairen;Fineman, Jeremy T.;Russell, Katina

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本文针对边权为整数(包括负)的单源最短路径问题,提出了一种并行版本的Goldberg算法。给定一个n个顶点,m条边,整数权值≥-N的输入图,我们的算法以Õ(m√n log n)的工作量和n5/4+o(1) log n的空间解决问题,两者都具有高概率。因此,我们的算法在实现至少m1/4- 0(1)并行性的同时,其工作原理与Goldberg的算法相似。为了生成我们的并行版本的Goldberg算法,我们解决了两个特定的距离限制的最短路径问题,这两个问题都有功Õ(m)和跨度√L·n1/2+o(1),其中L是距离限制。
This paper presents a parallel version of Goldberg's algorithm for the problem of single-source shortest paths with integer (including negatives) edge weights. Given an input graph with n vertices, m edges, and integer weights ≥-N, our algorithms solves the problem with Õ(m √n log N) work and n5/4+o(1) log N span, both with high probability. Our algorithm thus has work similar to Goldberg's algorithm while also achieving at least m1/4-o(1) parallelism. To generate our parallel version of Goldberg's algorithm, we solve two specific distance-limited shortest-path problems, both with work Õ(m) and span √L · n1/2+o(1), where L is the distance limit.
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发表时间: 2020
期刊: ACM SIGACT Symposium on Theory of Computing
影响因子: --
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