Towards Near LLC Speed STT-MRAM Sensing Using Reconfigurable Clock Trimming

Xiaoyun Tian, Zhong-Jian Bian, Hao Cai
{"title":"Towards Near LLC Speed STT-MRAM Sensing Using Reconfigurable Clock Trimming","authors":"Xiaoyun Tian, Zhong-Jian Bian, Hao Cai","doi":"10.1109/ICTA56932.2022.9963110","DOIUrl":null,"url":null,"abstract":"Spin-transfer-torque magnetic random access memory (STT-MRAM) shows great potential to replace mainstream working memories thanks to its high energy efficiency and endurance. As RAM-like applications require higher speed, it is preferred to use a robust current-type sense amplifier (SA) with complex operating timing, which limits their working speed. The timing generated by the inverter chain is greatly affected by the process, voltage, and temperature (PVT) variations. In this work, a clock trimming sensing scheme is proposed to increase sensing speed and solve PVT variation in current-type SA. Since the timing is generated through voltage difference sampling between differential inputs, this scheme can achieve stable and fast sensing over a wide temperature range. According to the simulation results, the proposed scheme can sense data within 8-ns (near LLC working speed) and save up to 45.6% of energy consumption compared to the traditional SAs.","PeriodicalId":325602,"journal":{"name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTA56932.2022.9963110","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

Spin-transfer-torque magnetic random access memory (STT-MRAM) shows great potential to replace mainstream working memories thanks to its high energy efficiency and endurance. As RAM-like applications require higher speed, it is preferred to use a robust current-type sense amplifier (SA) with complex operating timing, which limits their working speed. The timing generated by the inverter chain is greatly affected by the process, voltage, and temperature (PVT) variations. In this work, a clock trimming sensing scheme is proposed to increase sensing speed and solve PVT variation in current-type SA. Since the timing is generated through voltage difference sampling between differential inputs, this scheme can achieve stable and fast sensing over a wide temperature range. According to the simulation results, the proposed scheme can sense data within 8-ns (near LLC working speed) and save up to 45.6% of energy consumption compared to the traditional SAs.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用可重构时钟微调实现近LLC速度STT-MRAM传感
自旋转移转矩磁随机存取存储器(STT-MRAM)由于其高能效和耐用性,显示出取代主流工作存储器的巨大潜力。由于类ram应用需要更高的速度,因此首选使用具有复杂操作时序的鲁棒电流型感测放大器(SA),这限制了它们的工作速度。逆变器链产生的时序受工艺、电压和温度(PVT)变化的影响很大。本文提出了一种时钟微调传感方案,以提高电流型SA的传感速度,解决PVT变化问题。由于时序是通过差分输入之间的电压差采样产生的,因此该方案可以在很宽的温度范围内实现稳定和快速的传感。仿真结果表明,该方案可以在8ns(接近LLC工作速度)的范围内感知数据,与传统的sa相比,可节省45.6%的能耗。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A 4.2-to-5.6 GHz Transformer-Based PMOS-only Stacked-gm VCO in 28-nm CMOS A 0.58-pJ/bit 56-Gb/s PAM-4 Optical Receiver Frontend with an Envelope Tracker for Co-Packaged Optics in 40-nm CMOS CVD Monolayer tungsten-based PMOS Transistor with high performance at Vds = -1 V A 1000 fps Spiking Neural Network Tracking Algorithm for On-Chip Processing of Dynamic Vision Sensor Data Hardware Based RISC-V Instruction Set Randomization
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1