Kazi Fatima Sharif, Riazul Islam, S. Biswas, V. Groza
{"title":"4 Transistor and 2 memristor based memory","authors":"Kazi Fatima Sharif, Riazul Islam, S. Biswas, V. Groza","doi":"10.1109/ISCAIE.2017.8074946","DOIUrl":null,"url":null,"abstract":"This research proposed a new type of memory cell designed by using only nMOS transistors of 16nm, 22nm and 45nm (Arizona State University Predictive Technologies Model) PTM models and memristors. The memory cell consumes less power and also occupies minimum amount of silicon area. The stability of the data during successive read operation and noise margin are in the promising range. Extensive simulation results demonstrate the validity and competency of the proposed model in the sector of time delay, static noise margin and power consumption.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAIE.2017.8074946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This research proposed a new type of memory cell designed by using only nMOS transistors of 16nm, 22nm and 45nm (Arizona State University Predictive Technologies Model) PTM models and memristors. The memory cell consumes less power and also occupies minimum amount of silicon area. The stability of the data during successive read operation and noise margin are in the promising range. Extensive simulation results demonstrate the validity and competency of the proposed model in the sector of time delay, static noise margin and power consumption.
本研究提出了一种仅使用16nm、22nm和45nm的nMOS晶体管(Arizona State University Predictive Technologies Model) PTM模型和忆阻器设计的新型存储电池。该存储单元功耗更低,占用的硅面积也更小。连续读取过程中数据的稳定性和噪声裕度都在较好的范围内。大量的仿真结果证明了该模型在时延、静态噪声裕度和功耗方面的有效性和胜任性。