{"title":"iTimerC:使用有效的减少方法消除常见路径悲观情绪","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":"{\"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}","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}
iTimerC: Common path pessimism removal using effective reduction methods
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.