{"title":"Formulation of static circuit optimization with reduced size, degeneracy and redundancy by timing graph manipulation","authors":"C. Visweswariah, A. Conn","doi":"10.1109/ICCAD.1999.810656","DOIUrl":null,"url":null,"abstract":"Static circuit optimization implies sizing of transistors and wires on a static timing basis, taking into account all paths through a circuit. Previous methods of formulating static circuit optimization produced problem statements that are very large and contain inherent redundancy and degeneracy. In this paper, a method of manipulating the timing formulation is presented which produces a dramatically more compact optimization problem, and reduces redundancy and degeneracy. The circuit optimization is therefore more efficient and effective. Numerical results to demonstrate these improvements are presented.","PeriodicalId":6414,"journal":{"name":"1999 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (Cat. No.99CH37051)","volume":"26 1","pages":"244-251"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (Cat. No.99CH37051)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.1999.810656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 38
Abstract
Static circuit optimization implies sizing of transistors and wires on a static timing basis, taking into account all paths through a circuit. Previous methods of formulating static circuit optimization produced problem statements that are very large and contain inherent redundancy and degeneracy. In this paper, a method of manipulating the timing formulation is presented which produces a dramatically more compact optimization problem, and reduces redundancy and degeneracy. The circuit optimization is therefore more efficient and effective. Numerical results to demonstrate these improvements are presented.