Coarse Grained Parallel Algorithms for Detecting Convex Bipartite Graphs
WG '00 Proceedings of the 26th International Workshop on Graph-Theoretic Concepts in Computer Science
Coarse grained parallel algorithms for graph matching
Parallel Computing
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
A CGM algorithm solving the longest increasing subsequence problem
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
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We present a coarse grained parallel algorithm for computing a maximum matching in a convex bipartite graph G = (A; B; E).For p processors with N=p memory per processor, N = jAj +jBj, N=p = p, the algorithm requires O(log p) communication rounds and O(Tsequ( n p ; m p ) + n p log p) local computation, where n = jAj, m = jBj and Tsequ(n; m) is the sequential time complexity for the problem. For the BSP model, this implies O(log p) supersteps with O(gN + g n p log p) communication cost and O(Tsequ( n p ; m p ) + n p log p) local computation.