S. K. Khatamifard, M. Resch, N. Kim, Ulya R. Karpuzcu
{"title":"VARIUS-TC: A modular architecture-level model of parametric variation for thin-channel switches","authors":"S. K. Khatamifard, M. Resch, N. Kim, Ulya R. Karpuzcu","doi":"10.1109/ICCD.2016.7753353","DOIUrl":null,"url":null,"abstract":"Under aggressive miniaturization, unconventional digital switches rapidly come to light, which introduce new sources of variation in design parameters, and hence challenge the manufacturing process further. As a result, performance and power of manufactured hardware becomes greatly unpredictable. Characterizing variation-incurred unpredictability at early stages of the design necessitates dependable architecture-level models of variation, which distill device- and circuit-level details to accurately evaluate system-level implications. In this paper, we introduce a modular architecture-level model of parametric variation to address this challenge. As a case study, we refine our discussion to a representative class of emerging thin-channel switches, FinFETs.","PeriodicalId":297899,"journal":{"name":"2016 IEEE 34th International Conference on Computer Design (ICCD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 34th International Conference on Computer Design (ICCD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2016.7753353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Under aggressive miniaturization, unconventional digital switches rapidly come to light, which introduce new sources of variation in design parameters, and hence challenge the manufacturing process further. As a result, performance and power of manufactured hardware becomes greatly unpredictable. Characterizing variation-incurred unpredictability at early stages of the design necessitates dependable architecture-level models of variation, which distill device- and circuit-level details to accurately evaluate system-level implications. In this paper, we introduce a modular architecture-level model of parametric variation to address this challenge. As a case study, we refine our discussion to a representative class of emerging thin-channel switches, FinFETs.