Dynamic constant time parallel graph algorithms with sub-linear work

Jonas Schmidt, T. Schwentick
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Abstract

The paper proposes dynamic parallel algorithms for connectivity and bipartiteness of undirected graphs that require constant time and $O(n^{1/2+\epsilon})$ work on the CRCW PRAM model. The work of these algorithms almost matches the work of the $O(\log n)$ time algorithm for connectivity by Kopelowitz et al. (2018) on the EREW PRAM model and the time of the sequential algorithm for bipartiteness by Eppstein et al. (1997). In particular, we show that the sparsification technique, which has been used in both mentioned papers, can in principle also be used for constant time algorithms in the CRCW PRAM model, despite the logarithmic depth of sparsification trees.
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具有次线性功的动态常数时间并行图算法
本文提出了需要恒定时间的无向图的连通性和二分性的动态并行算法,并对CRCW PRAM模型进行了$O(n^{1/2+\epsilon})$研究。这些算法的工作几乎与Kopelowitz等人(2018)在EREW PRAM模型上的$O(\log n)$连接时间算法的工作和Eppstein等人(1997)的两部分顺序算法的时间相匹配。特别是,我们表明,尽管稀疏化树的对数深度,但在上述两篇论文中使用的稀疏化技术原则上也可以用于CRCW PRAM模型中的常数时间算法。
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