静态随机存取存储器
计算机科学
电阻随机存取存储器
边距(机器学习)
晶体管
非易失性存储器
访问时间
随机存取存储器
噪声裕度
随机存取
产量(工程)
功率(物理)
计算机硬件
模式(计算机接口)
电子工程
电气工程
电压
工程类
计算机网络
物理
机器学习
操作系统
量子力学
冶金
材料科学
作者
Zhiting Lin,Yong Wang,Chunyu Peng,Xiulong Wu,Xuan Li,Junning Chen
出处
期刊:IEEE Transactions on Very Large Scale Integration Systems
[Institute of Electrical and Electronics Engineers]
日期:2020-02-25
卷期号:28 (3): 607-619
被引量:16
标识
DOI:10.1109/tvlsi.2019.2953005
摘要
This article presents a new resistive random access memory (RRAM)-based average 7T1R nonvolatile static random access memory (nvSRAM). This multiple sharing (MS) 7T1R uses MS schemes in which some of the transistors play various roles. Therefore, the MS-7T1R can perform a decoupled read, enhance write capability, and improve the restore yield with a small area cost. Furthermore, the MS-7T1R can offer two alternative modes, i.e., a high speed and a stable mode. Compared with existing technologies, such as the previous 6T-based nvSRAMs, the results show that the proposed architecture provides a remarkable restore yield and ~154% improvement in the read static noise margin (at TT corner and stable mode). In addition, the read delay improves by ~23% (at TT corner and high-speed mode). The write "1" problem of the single bitline is effectively resolved with our proposed write strategy. The static write margin of "1" is improved by ~88.6% compared with the conventional 6T (β = 4) at a power of 1.2 V. In addition, dynamic power is effectively reduced by the use of the single bitline and sub-word-line driver technology.
科研通智能强力驱动
Strongly Powered by AbleSci AI