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dc.contributor.authorNikolopoulos, Stavros D.en
dc.date.accessioned2015-11-24T17:02:51Z-
dc.date.available2015-11-24T17:02:51Z-
dc.identifier.issn1063-7192-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11100-
dc.rightsDefault Licence-
dc.titlePARALLEL BLOCK-FINDING USING DISTANCE MATRICESen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primary10.1080/10637199608915561-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate1996-
heal.abstractWe present a fast parallel algorithm for finding the blocks or biconnected components of an undirected graph G = (V,E ) having n vertices and m edges. Our techniques arc based on partitioning the vertex set V into adjacency-level sets using information contained in the distance matrix D of the graph. Let t D and p D be the time and number of processors, respectively, for the computation of the distance matrix of a graph G on a CRCW-PRAM computational model. We show that the location of all cut vertices and bridges of a graph can be done in time O(logδ + t D) by using O(n m/t d) processors, where δ is the maximum degree of a vertex in G. Based on these results, we define a digraph G d and we prove certain properties on its distance matrix leading to a parallel block-finding algorithm running in time O(logδ + t D) with O(n m/t D) processors on the same computational model. We also show that other connectivity-related problems can be efficiently solved using distance matrices.en
heal.publisherTaylor & Francisen
heal.journalNameParallel Algorithms and Applicationsen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
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