静态随机存取存储器
计算机科学
网络拓扑
功率(物理)
能源消耗
电子工程
随机存取
可靠性(半导体)
功率消耗
晶体管
消散
拓扑(电路)
理论(学习稳定性)
电气工程
工程类
计算机网络
计算机硬件
电压
物理
机器学习
热力学
量子力学
作者
Neetu Rathi,Anil Kumar,Neeraj Gupta,Sanjay Kumar Singh
标识
DOI:10.1109/devic57758.2023.10134887
摘要
The growing demand for low-power static random access memory (SRAM) cells in Internet of Things (IoT) devices has led to the development of various SRAM cell topologies that minimize power consumption while maintaining performance and stability. In this paper, we have analyzed various SRAM designs based on different parameters, such as power dissipation, delay, area, energy, and stability. It is observed that 6T SRAM cell, consisting of six transistors, is the most widely used topology due to its simplicity and low area requirements. However, larger cells such as 8T,9T, and 10T have been developed to improve stability and reduce power consumption, although they require more area. It has been observed8 T work better for read delay while 9T works better for 9 Scaling down SRAM cells to smaller feature sizes presents challenges in maintaining stability and reliability while minimizing power consumption.
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