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Parallel Algorithms for Maximal Cliques in Circle Graphs and Unrestricted Depth Search

Published online by Cambridge University Press:  23 June 2010

E. N. Cáceres ,
S. W. Song  and
J. L. Szwarcfiter
E. N. Cáceres
Affiliation:
Universidade Federal de Mato Grosso do Sul, Faculdade de Computação, 79070-900 Campo Grande, MS, Brazil; edson@facom.ufms.br
S. W. Song
Affiliation:
Universidade de São Paulo, Instituto de Matemática e Estatística, 05508-900 São Paulo, SP, Brazil; visiting professor of Universidade Federal do ABC; song@ime.usp.br
J. L. Szwarcfiter
Affiliation:
Universidade Federal do Rio de Janeiro, Instituto de Matemática, Núcleo de Computação Eletrônica and COPPE, 21.945-970 Rio de Janeiro, RJ, Brazil; jayme@nce.ufrj.br
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Abstract

We present parallel algorithms on the BSP/CGM model, with p processors, to count and generate all the maximal cliques of a circle graph with n vertices and m edges. To count the number of all the maximal cliques, without actually generating them, our algorithm requires O(log p) communication rounds with O(nm/p) local computation time. We also present an algorithm to generate the first maximal clique in O(log p) communication rounds with O(nm/p) local computation, and to generate each one of the subsequent maximal cliques this algorithm requires O(log p) communication rounds with O(m/p) local computation. The maximal cliques generation algorithm is based on generating all maximal paths in a directed acyclic graph, and we present an algorithm for this problem that uses O log (p) communication rounds with O(m/p) local computation for each maximal path. We also show that the presented algorithms can be extended to the CREW PRAM model.

Keywords

BSP/CGM algorithmPRAM algorithmcircle graphmaximal cliqueunrestricted depth search.
Type
Research Article
Information
RAIRO - Theoretical Informatics and Applications , Volume 44 , Issue 3 , July 2010 , pp. 293 - 311
Copyright
© EDP Sciences, 2010

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