Mar 1, 2004 � In this paper we consider the problem of computing the connected components of the complement of a given graph.
The speed-up of this algorithm is optimal in the sense that the depth of the algorithm is of the order of the running time of the fastest known sequential�...
Abstract. In this paper, we consider the problem of computing the connected components of the complement of a given graph. We describe a simple.
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A simple sequential algorithm for the problem of computing the connected components of the complement of a given graph, which works on the input graph and�...
TL;DR: A simple sequential algorithm for the problem of computing the connected components of the complement of a given graph, which works on the input�...
Sep 21, 2010 � The following paper claims O(nω) and O(logn) time on a CREW-PRAM: "Optimal Parallel Algorithms for Transitive Closure and Point Location in�...
With an n-vertex cograph G represented by its parse tree as input, our algorithm finds a maximum matching in G in O(log n) time using O(n/log n) processors in�...
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May 12, 2020 � We have recently developed the distributed-memory parallel MCL (HipMCL) [8] algorithm that can cluster protein similarity networks with hundreds�...
CC_Random_Mate(L, E) if(|E| = 0) Return L //base case else. 1. Flip coins for all vertices. 2. For v where coin(v)=Heads, hook to arbitrary Tails neighbor w�...
Abstract—We present an efficient distributed memory parallel algorithm for computing connected components in undirected graphs.