
Summary: A parallel randomized algorithm for finding the connected components of an undirected graph is presented. The algorithm has an expected running time of \(T=O(\log(n))\) with \(P=O((m+n)/\log(n))\) processors, where \(m\) is the number of edges and \(n\) is the number of vertices. The algorithm is optimal in the sense that the product \(P\cdot T\) is a linear function of the input size. The algorithm requires \(O(m+n)\) space, which is the input size, so it is optimal in space as well.
Connectivity, connected components, Graph theory (including graph drawing) in computer science, Analysis of algorithms and problem complexity, Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.), parallel randomized algorithm, Paths and cycles, CRCW
Connectivity, connected components, Graph theory (including graph drawing) in computer science, Analysis of algorithms and problem complexity, Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.), parallel randomized algorithm, Paths and cycles, CRCW
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