{"title":"Improved parallel algorithms for finding connected components","authors":"K. W. Chong, Tak-Wah Lam","doi":"10.1109/ICAPP.1995.472217","DOIUrl":null,"url":null,"abstract":"Finding the connected components of a graph is a basic computational problem. In recent years, there were several exciting results in breaking the log/sup 2/ n-time barrier to finding connected components on parallel machines using shared memory without concurrent-write capability. This paper further presents two new parallel algorithms both using less than log/sup 2/ n time. The merit of the first algorithm is that it uses only a sublinear number of processors, yet retains the time complexity of the fastest existing algorithm. The second algorithm is slightly slower but its work (i.e., the time-processor product) is closer to optimal than all previous algorithms using less than log/sup 2/ n time.<<ETX>>","PeriodicalId":448130,"journal":{"name":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1995.472217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Finding the connected components of a graph is a basic computational problem. In recent years, there were several exciting results in breaking the log/sup 2/ n-time barrier to finding connected components on parallel machines using shared memory without concurrent-write capability. This paper further presents two new parallel algorithms both using less than log/sup 2/ n time. The merit of the first algorithm is that it uses only a sublinear number of processors, yet retains the time complexity of the fastest existing algorithm. The second algorithm is slightly slower but its work (i.e., the time-processor product) is closer to optimal than all previous algorithms using less than log/sup 2/ n time.<>