F. M. Bayat, X. Guo, M. Klachko, N. Do, K. Likharev, D. Strukov
{"title":"Model-based high-precision tuning of NOR flash memory cells for analog computing applications","authors":"F. M. Bayat, X. Guo, M. Klachko, N. Do, K. Likharev, D. Strukov","doi":"10.1109/DRC.2016.7548449","DOIUrl":null,"url":null,"abstract":"High-precision individual cell tuning was experimentally demonstrated, for the first time, in analog integrated circuits redesigned from a commercial NOR flash memory. The tuning is fully automatic, and relies on a write-verify algorithm, with the optimal amplitude of each write pulse determined from runtime measurements, using a compact model of cell's dynamics, fitted to experimental results. The algorithm has allowed tuning of each cell of a 100-cell array to any desired state within a 4-orders-of-magnitude dynamic range. With 10 write pulses, the average tuning accuracy is about 3%, while with 35 pulses the precision reaches ~0.3%. Taking into account the dynamic range, the last number is equivalent to ~1,500 levels, i.e. 10+ bits.","PeriodicalId":310524,"journal":{"name":"2016 74th Annual Device Research Conference (DRC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 74th Annual Device Research Conference (DRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRC.2016.7548449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
High-precision individual cell tuning was experimentally demonstrated, for the first time, in analog integrated circuits redesigned from a commercial NOR flash memory. The tuning is fully automatic, and relies on a write-verify algorithm, with the optimal amplitude of each write pulse determined from runtime measurements, using a compact model of cell's dynamics, fitted to experimental results. The algorithm has allowed tuning of each cell of a 100-cell array to any desired state within a 4-orders-of-magnitude dynamic range. With 10 write pulses, the average tuning accuracy is about 3%, while with 35 pulses the precision reaches ~0.3%. Taking into account the dynamic range, the last number is equivalent to ~1,500 levels, i.e. 10+ bits.