Model-based high-precision tuning of NOR flash memory cells for analog computing applications

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.
基于模型的模拟计算应用的NOR闪存单元高精度调谐
高精度单个单元调谐首次在从商用NOR闪存重新设计的模拟集成电路中得到实验证明。调整是完全自动的,并依赖于写入验证算法,每个写入脉冲的最佳幅度由运行时测量确定,使用细胞动力学的紧凑模型,与实验结果相匹配。该算法允许在4个数量级的动态范围内将100个单元数组中的每个单元调整到任何所需的状态。当写入脉冲数为10时,平均调谐精度约为3%,而当写入脉冲数为35时,平均调谐精度可达~0.3%。考虑到动态范围,最后一个数字相当于~ 1500个电平,即10+位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信