Sebastien Fabrie, J. Echeverri, M. Vertregt, J. P. D. Gyvez
{"title":"标准单元库调整可变性容忍设计","authors":"Sebastien Fabrie, J. Echeverri, M. Vertregt, J. P. D. Gyvez","doi":"10.7873/DATE.2014.242","DOIUrl":null,"url":null,"abstract":"In today's semiconductor industry we see a move towards smaller technology feature sizes. These smaller feature sizes pose a problem due to mismatch between identical cells on a single die known as local variation. In this paper a library tuning method is proposed which makes a smart selection of cells in a standard cell library to reduce the design's sensitivity to local variability. This results in a robust IC design with an identifiable behavior towards local variations. Experimental results performed on a widely used microprocessor design synthesized for a high performance timing show that we can achieve a timing spread reduction of 37% at an area increase cost of 7%.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"24 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Standard cell library tuning for variability tolerant designs\",\"authors\":\"Sebastien Fabrie, J. Echeverri, M. Vertregt, J. P. D. Gyvez\",\"doi\":\"10.7873/DATE.2014.242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today's semiconductor industry we see a move towards smaller technology feature sizes. These smaller feature sizes pose a problem due to mismatch between identical cells on a single die known as local variation. In this paper a library tuning method is proposed which makes a smart selection of cells in a standard cell library to reduce the design's sensitivity to local variability. This results in a robust IC design with an identifiable behavior towards local variations. Experimental results performed on a widely used microprocessor design synthesized for a high performance timing show that we can achieve a timing spread reduction of 37% at an area increase cost of 7%.\",\"PeriodicalId\":6550,\"journal\":{\"name\":\"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)\",\"volume\":\"24 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7873/DATE.2014.242\",\"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 Design, Automation & Test in Europe Conference & Exhibition (DATE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7873/DATE.2014.242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Standard cell library tuning for variability tolerant designs
In today's semiconductor industry we see a move towards smaller technology feature sizes. These smaller feature sizes pose a problem due to mismatch between identical cells on a single die known as local variation. In this paper a library tuning method is proposed which makes a smart selection of cells in a standard cell library to reduce the design's sensitivity to local variability. This results in a robust IC design with an identifiable behavior towards local variations. Experimental results performed on a widely used microprocessor design synthesized for a high performance timing show that we can achieve a timing spread reduction of 37% at an area increase cost of 7%.