静态随机存取存储器
电压
功率消耗
低压
功率(物理)
电气工程
边距(机器学习)
MOSFET
电子工程
计算机科学
晶体管
材料科学
工程类
物理
量子力学
机器学习
作者
Wenjuan Lu,Yixiao Lu,Lanzhi Dong,Chunyu Peng,Xiulong Wu,Zhiting Lin,Junning Chen
出处
期刊:Electronics
[Multidisciplinary Digital Publishing Institute]
日期:2022-10-20
卷期号:11 (20): 3392-3392
被引量:5
标识
DOI:10.3390/electronics11203392
摘要
In this paper, a Tunnel FETs (TFETs) and MOSFETs hybrid integrated 9T SRAM (HI-9T) with data-aware write technique is proposed. This structure solves the problem of excessive static power consumption caused by forward p-i-n current in the conventional 7T TFET SRAM (CV-7T), and the problem of weakened writing ability caused by the use of the TFET-stacked structure of the most advanced combined access 10T TFET SRAM (CA-10T). The simulation results demonstrate that the static power consumption of HI-9T is reduced by three orders of magnitude compared with CV-7T at a 0.6 V supply voltage and the ability to maintain data is more stable. Compared with CA-10T, the write margin (WM) of HI-9T is increased by about 2.4 times and the write latency is reduced by 54.8% at 0.5 V supply voltage. HI-9T still has good writing ability under the 0.6 V supply voltage and the CA-10T cannot write normally. Therefore, HI-9T has good overall performance and is more advantageous in ultra-low power applications.
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