{"title":"A low-Power SRAM with charge cycling based read and write assist scheme","authors":"Hanzun Zhang, S. Jia, Jiancheng Yang, Yuan Wang","doi":"10.1109/ICSICT49897.2020.9278282","DOIUrl":null,"url":null,"abstract":"In a SRAM array, the largest power consumer is pre-charging or voltage switching on bit-lines in read or write operations. The paper presents a bit-line charge cycling based read and write assist circuit for static random-access memory. With help of the assist circuit, the BLs charges wasted in conventional design is reused for BLs pre-charging in next period. The proposed array is simulated in SMIC 14nm FinFET process with a supply voltage of 0.8V. Simulation results show that a 23%-43% power reduction is achieved compared with conventional designs.","PeriodicalId":6727,"journal":{"name":"2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT)","volume":"27 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 15th International Conference on Solid-State & Integrated Circuit Technology (ICSICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSICT49897.2020.9278282","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
In a SRAM array, the largest power consumer is pre-charging or voltage switching on bit-lines in read or write operations. The paper presents a bit-line charge cycling based read and write assist circuit for static random-access memory. With help of the assist circuit, the BLs charges wasted in conventional design is reused for BLs pre-charging in next period. The proposed array is simulated in SMIC 14nm FinFET process with a supply voltage of 0.8V. Simulation results show that a 23%-43% power reduction is achieved compared with conventional designs.