{"title":"Iterative compaction: an improved approach to graph and circuit bisection","authors":"J. Haralambides, F. Makedon","doi":"10.1109/EDAC.1991.206462","DOIUrl":null,"url":null,"abstract":"Given a graph G=(V,E), graph bisection is the problem of finding a partition of the vertex set V in two equal-sized subsets V/sub 1/ and V/sub 2/ so that the number of edges between them is minimized. This problem has important applications in circuit partitioning, testing, VLSI design and other network-related problems that apply the divide-and-conquer strategy. The authors introduce a new heuristic approach, called iterative compaction (IC), which employees a node degree based matching and iterative graph compaction. This gives a significant improvement over the performance of known bisection algorithms in both time and quality of the results.<<ETX>>","PeriodicalId":425087,"journal":{"name":"Proceedings of the European Conference on Design Automation.","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the European Conference on Design Automation.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDAC.1991.206462","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
Given a graph G=(V,E), graph bisection is the problem of finding a partition of the vertex set V in two equal-sized subsets V/sub 1/ and V/sub 2/ so that the number of edges between them is minimized. This problem has important applications in circuit partitioning, testing, VLSI design and other network-related problems that apply the divide-and-conquer strategy. The authors introduce a new heuristic approach, called iterative compaction (IC), which employees a node degree based matching and iterative graph compaction. This gives a significant improvement over the performance of known bisection algorithms in both time and quality of the results.<>