{"title":"o(log4 n) time parallel maximal matching algorithm using linear number of processors","authors":"Alak Kumar Datta, Ranjan Kumar Sen†","doi":"10.1080/1063719042000208827","DOIUrl":null,"url":null,"abstract":"Computing maximal matching of a graph having n vertices in parallel within time using a linear number of processors on the EREW-PRAM is an open problem [Karp, R.M. and Ramachandran, V. (1990) “Parallel algorithms for shared-memory machines”, In: van Leeuwen, J., ed., Handbook of Theoretical Computer Science, Vol. A, pp 869–941]. In this paper, we resolve this by presenting a parallel algorithm on the EREW-PRAM that works in time using O(n) number of processors, where Δ(G) is the degree of the graph.","PeriodicalId":406098,"journal":{"name":"Parallel Algorithms and Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Parallel Algorithms and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/1063719042000208827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Computing maximal matching of a graph having n vertices in parallel within time using a linear number of processors on the EREW-PRAM is an open problem [Karp, R.M. and Ramachandran, V. (1990) “Parallel algorithms for shared-memory machines”, In: van Leeuwen, J., ed., Handbook of Theoretical Computer Science, Vol. A, pp 869–941]. In this paper, we resolve this by presenting a parallel algorithm on the EREW-PRAM that works in time using O(n) number of processors, where Δ(G) is the degree of the graph.