T. Choi, H. Choi, J.H. Choi, H. Choo, H. Jung, H.Y. Kim, T. Song, J. Kye, S. Jung
{"title":"Accurate High-Sigma Mismatch Model for Low Power Design in Sub-7nm Technology","authors":"T. Choi, H. Choi, J.H. Choi, H. Choo, H. Jung, H.Y. Kim, T. Song, J. Kye, S. Jung","doi":"10.23919/VLSIT.2019.8776509","DOIUrl":null,"url":null,"abstract":"High-sigma yield simulation analysis based on accurate SPICE mismatch model is required for high volume product design. Especially for the low power design in sub-7nm technology, the non-Gaussian behavior of the transistor drain currents $(I_{\\text{ds}})$ is intensifying due to large mismatch variation. To achieve reliable high-sigma simulation, SPICE mismatch model needs to accurately reflect the non-Gaussian $I_{\\text{ds}}$ distribution obtained from the silicon data. Gaussian distribution modeling of channel resistance factor $(R_{\\text{ch}_{-}\\text{f}})$ and source/drain external resistance $(R_{\\text{ext}})$ is proven to be effective to model the skewed Gaussian distribution shape of massive silicon Ids data.","PeriodicalId":6752,"journal":{"name":"2019 Symposium on VLSI Technology","volume":"9 1","pages":"T106-T107"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Symposium on VLSI Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/VLSIT.2019.8776509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
High-sigma yield simulation analysis based on accurate SPICE mismatch model is required for high volume product design. Especially for the low power design in sub-7nm technology, the non-Gaussian behavior of the transistor drain currents $(I_{\text{ds}})$ is intensifying due to large mismatch variation. To achieve reliable high-sigma simulation, SPICE mismatch model needs to accurately reflect the non-Gaussian $I_{\text{ds}}$ distribution obtained from the silicon data. Gaussian distribution modeling of channel resistance factor $(R_{\text{ch}_{-}\text{f}})$ and source/drain external resistance $(R_{\text{ext}})$ is proven to be effective to model the skewed Gaussian distribution shape of massive silicon Ids data.