Basma Hajri, Mohammad M. Mansour, A. Chehab, H. Aziza
{"title":"Oxide-based RRAM models for circuit designers: A comparative analysis","authors":"Basma Hajri, Mohammad M. Mansour, A. Chehab, H. Aziza","doi":"10.1109/DTIS.2017.7930176","DOIUrl":null,"url":null,"abstract":"Recently, Oxide-based random access memory devices (OxRAM) have shown the potential to outperform non-volatile memories due to their high scalability, high-speed, high-density, and low-energy operation. A critical requirement for using OxRAM at circuit level is a predictive model for device behavior that can be used in simulations, as well as a guide for circuit designers. The proper choice of the memory device model leads to a better understanding of the memory cell behavior, and also to a better exploitation of its unique properties in novel systems. This work is intended to help designers decide on the most appropriate memory cell model for circuit design. We present a comparative study of the different major existing OxRAM models tested within the same simulation environment.","PeriodicalId":328905,"journal":{"name":"2017 12th International Conference on Design & Technology of Integrated Systems In Nanoscale Era (DTIS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Conference on Design & Technology of Integrated Systems In Nanoscale Era (DTIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTIS.2017.7930176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
Recently, Oxide-based random access memory devices (OxRAM) have shown the potential to outperform non-volatile memories due to their high scalability, high-speed, high-density, and low-energy operation. A critical requirement for using OxRAM at circuit level is a predictive model for device behavior that can be used in simulations, as well as a guide for circuit designers. The proper choice of the memory device model leads to a better understanding of the memory cell behavior, and also to a better exploitation of its unique properties in novel systems. This work is intended to help designers decide on the most appropriate memory cell model for circuit design. We present a comparative study of the different major existing OxRAM models tested within the same simulation environment.