{"title":"用于MOS VLSI电路的交互式统计设计工具","authors":"T. Yu, S. Kang, I. Hajj, T. Trick","doi":"10.1109/ICCAD.1988.122454","DOIUrl":null,"url":null,"abstract":"iEDISON optimizes the transistor sizes of a circuit so that its performance is least sensitive to manufacturing process fluctuations. iEDISON considers three methods for design optimization, namely, the response surface method, the Taguchi method, and the nonnested experimental design method. These methods use experimental designs and regression models to explore the statistical performance variations. The efficiency of the system is demonstrated by an example on clock-skew minimization.<<ETX>>","PeriodicalId":285078,"journal":{"name":"[1988] IEEE International Conference on Computer-Aided Design (ICCAD-89) Digest of Technical Papers","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"iEDISON: an interactive statistical design tool for MOS VLSI circuits\",\"authors\":\"T. Yu, S. Kang, I. Hajj, T. Trick\",\"doi\":\"10.1109/ICCAD.1988.122454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"iEDISON optimizes the transistor sizes of a circuit so that its performance is least sensitive to manufacturing process fluctuations. iEDISON considers three methods for design optimization, namely, the response surface method, the Taguchi method, and the nonnested experimental design method. These methods use experimental designs and regression models to explore the statistical performance variations. The efficiency of the system is demonstrated by an example on clock-skew minimization.<<ETX>>\",\"PeriodicalId\":285078,\"journal\":{\"name\":\"[1988] IEEE International Conference on Computer-Aided Design (ICCAD-89) Digest of Technical Papers\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988] IEEE International Conference on Computer-Aided Design (ICCAD-89) Digest of Technical Papers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAD.1988.122454\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] IEEE International Conference on Computer-Aided Design (ICCAD-89) Digest of Technical Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.1988.122454","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
iEDISON: an interactive statistical design tool for MOS VLSI circuits
iEDISON optimizes the transistor sizes of a circuit so that its performance is least sensitive to manufacturing process fluctuations. iEDISON considers three methods for design optimization, namely, the response surface method, the Taguchi method, and the nonnested experimental design method. These methods use experimental designs and regression models to explore the statistical performance variations. The efficiency of the system is demonstrated by an example on clock-skew minimization.<>