{"title":"iTimerC: Common path pessimism removal using effective reduction methods","authors":"Yu-Ming Yang, Yu-Wei Chang, I. Jiang","doi":"10.1109/ICCAD.2014.7001414","DOIUrl":null,"url":null,"abstract":"Static timing analysis is a key process to guarantee timing closure for modern IC designs. Nevertheless, fast growing design complexities and increasing on-chip variations complicate this process. To capture more accurate timing performance of a design, common path pessimism removal is prevalent to eliminate artificially induced pessimism in clock paths during timing analysis. To avoid exhaustive exploration on all paths in a design, in this paper, we present a novel timing analysis framework removing common path pessimism based on block-based static timing analysis, timing graph reduction, and dynamic bounding. Experimental results show that the proposed method is highly scalable, especially with short runtimes for large-scale designs. Moreover, our approach outperforms TAU 2014 timing contest winners, generating accurate results and achieving more than 2.13X speedups.","PeriodicalId":426584,"journal":{"name":"2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.2014.7001414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
Static timing analysis is a key process to guarantee timing closure for modern IC designs. Nevertheless, fast growing design complexities and increasing on-chip variations complicate this process. To capture more accurate timing performance of a design, common path pessimism removal is prevalent to eliminate artificially induced pessimism in clock paths during timing analysis. To avoid exhaustive exploration on all paths in a design, in this paper, we present a novel timing analysis framework removing common path pessimism based on block-based static timing analysis, timing graph reduction, and dynamic bounding. Experimental results show that the proposed method is highly scalable, especially with short runtimes for large-scale designs. Moreover, our approach outperforms TAU 2014 timing contest winners, generating accurate results and achieving more than 2.13X speedups.