Esteban Garzón, R. Taco, L. Prócel, L. Trojman, M. Lanuzza
{"title":"Voltage and Technology Scaling of DMTJ-based STT-MRAMs for Energy-Efficient Embedded Memories","authors":"Esteban Garzón, R. Taco, L. Prócel, L. Trojman, M. Lanuzza","doi":"10.1109/LASCAS53948.2022.9789054","DOIUrl":null,"url":null,"abstract":"This work presents energy advantages allowed by the technology and voltage scaling of spin-transfer torque mag-netic random access memories (STT-MRAMs) based on perpen-dicular double-barrier magnetic tunnel junction (DMTJ), with two reference layers. DMTJ is benchmarked against the single-barrier MTJ (SMTJ) -based alternative, and a comprehensive evaluation is carried out through a cross-layer simulation frame-work, considering state-of-the-art Verilog-A based SMTJ and DMTJ compact models, along with a 0.8V FinFET technology. Simulation results show that, thanks to the lower voltage op-erating point, DMTJ-based STT-MRAM allows energy savings for write/read operations of about 38%/45%, as compared to its SMTJ-based counterpart. Moreover, scaling from the 28 nm down to the 20 nm node, the DMTJ-based memory cell improves write/read energy of about 29%/33% at the expense of longer access times.","PeriodicalId":356481,"journal":{"name":"2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LASCAS53948.2022.9789054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This work presents energy advantages allowed by the technology and voltage scaling of spin-transfer torque mag-netic random access memories (STT-MRAMs) based on perpen-dicular double-barrier magnetic tunnel junction (DMTJ), with two reference layers. DMTJ is benchmarked against the single-barrier MTJ (SMTJ) -based alternative, and a comprehensive evaluation is carried out through a cross-layer simulation frame-work, considering state-of-the-art Verilog-A based SMTJ and DMTJ compact models, along with a 0.8V FinFET technology. Simulation results show that, thanks to the lower voltage op-erating point, DMTJ-based STT-MRAM allows energy savings for write/read operations of about 38%/45%, as compared to its SMTJ-based counterpart. Moreover, scaling from the 28 nm down to the 20 nm node, the DMTJ-based memory cell improves write/read energy of about 29%/33% at the expense of longer access times.