{"title":"Monte Carlo simulation in VDDmin modeling across Fab process","authors":"Huiping Guo, Yang Yang, Jiang Bowen","doi":"10.1109/ACQED.2012.6320499","DOIUrl":null,"url":null,"abstract":"VDDmin is defined as the lowest supply voltage at which a device can produce correct logic states. It is typically obtained by performing a binary or linear supply voltage search. VDDmin or very-low voltage (VLV) testing is a non-IDDQ defect based test method that has been shown to be an effective method to screen manufacturing defects [1, 2, 3, 4]. It is taken as an indicator of device performance and reliability. Monte Carlo simulation is a random sampling based computational methodology, used extensively for engineering analysis [5, 6, 7]. This paper discuss a VDDmin determination methodology base on-Monte Carlo simulation, case study is presented to illustrate that this approach can precisely predict yield impact due to process shift.","PeriodicalId":161858,"journal":{"name":"2012 4th Asia Symposium on Quality Electronic Design (ASQED)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 4th Asia Symposium on Quality Electronic Design (ASQED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACQED.2012.6320499","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
VDDmin is defined as the lowest supply voltage at which a device can produce correct logic states. It is typically obtained by performing a binary or linear supply voltage search. VDDmin or very-low voltage (VLV) testing is a non-IDDQ defect based test method that has been shown to be an effective method to screen manufacturing defects [1, 2, 3, 4]. It is taken as an indicator of device performance and reliability. Monte Carlo simulation is a random sampling based computational methodology, used extensively for engineering analysis [5, 6, 7]. This paper discuss a VDDmin determination methodology base on-Monte Carlo simulation, case study is presented to illustrate that this approach can precisely predict yield impact due to process shift.