{"title":"Channel routing of multiterminal nets","authors":"Shaodi Gao, M. Kaufmann","doi":"10.1145/179812.179927","DOIUrl":null,"url":null,"abstract":"This paper presents a new algorithm for channel routing of multiterminal nets. We first transform any multiterminal problem of density d to a socalled extended simple channel routing problem (ESCRP ) of density 3d/2+O(√dlog d), which will then be solved with channel width w ≤3d/2+O(√dlog d) in the knock-knee model. The same strategy can be used for routing in the other two models: The channel width is w ≤ 3d/2+O(√dlog d)+O(f) in the Manhattan model, where f is the flux of the problem, and w ≤ 3d/2+O(√dlogd) in the unit-vertical-overlap model. In all three cases we improve the best known upper bounds.","PeriodicalId":153779,"journal":{"name":"28th Annual Symposium on Foundations of Computer Science (sfcs 1987)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"28th Annual Symposium on Foundations of Computer Science (sfcs 1987)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/179812.179927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45
Abstract
This paper presents a new algorithm for channel routing of multiterminal nets. We first transform any multiterminal problem of density d to a socalled extended simple channel routing problem (ESCRP ) of density 3d/2+O(√dlog d), which will then be solved with channel width w ≤3d/2+O(√dlog d) in the knock-knee model. The same strategy can be used for routing in the other two models: The channel width is w ≤ 3d/2+O(√dlog d)+O(f) in the Manhattan model, where f is the flux of the problem, and w ≤ 3d/2+O(√dlogd) in the unit-vertical-overlap model. In all three cases we improve the best known upper bounds.