{"title":"基于FinFET技术的随机计算电路Vdd缩放极限研究","authors":"Xiaobo Jiang, Runsheng Wang, Shaofeng Guo, Ru Huang","doi":"10.23919/SNW.2017.8242341","DOIUrl":null,"url":null,"abstract":"The scaling limits of supply voltage (Vdd) in stochastic computing are investigated based on foundry-level 16/14nm FinFET technology, considering inherent, static and transient variations. Circuit functionality, EDP, arithmetic error are examined, indicating that transient variation induced arithmetic bias is the dominating factor.","PeriodicalId":424135,"journal":{"name":"2017 Silicon Nanoelectronics Workshop (SNW)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Investigation on the Vdd scaling limit of stochastic computing circuits based on FinFET technology\",\"authors\":\"Xiaobo Jiang, Runsheng Wang, Shaofeng Guo, Ru Huang\",\"doi\":\"10.23919/SNW.2017.8242341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The scaling limits of supply voltage (Vdd) in stochastic computing are investigated based on foundry-level 16/14nm FinFET technology, considering inherent, static and transient variations. Circuit functionality, EDP, arithmetic error are examined, indicating that transient variation induced arithmetic bias is the dominating factor.\",\"PeriodicalId\":424135,\"journal\":{\"name\":\"2017 Silicon Nanoelectronics Workshop (SNW)\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Silicon Nanoelectronics Workshop (SNW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/SNW.2017.8242341\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Silicon Nanoelectronics Workshop (SNW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SNW.2017.8242341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigation on the Vdd scaling limit of stochastic computing circuits based on FinFET technology
The scaling limits of supply voltage (Vdd) in stochastic computing are investigated based on foundry-level 16/14nm FinFET technology, considering inherent, static and transient variations. Circuit functionality, EDP, arithmetic error are examined, indicating that transient variation induced arithmetic bias is the dominating factor.