Hybrid CMOS-memristor 4T-NVSRAM cell for low power applications

Atibhi Jadon, S. Akashe
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引用次数: 3

Abstract

Introduction to Memristor and Memristive devices in VLSI design and electronics add new features to both analog and digital circuit design. Memristor finds applications in different fields like memories with a non-volatile behaviour (NVRAM-Non-Volatile Random Access Memory), neural networks, robotics to mimic biological entities, Low-power and remote sensing applications, Analog computation and circuit Applications, Crossbar Latches, and Programmable Logic and Signal Processing. The basic property of Memristors is data storage, i.e. it serves as a memory element. This paper presents a hybrid combination of CMOS (Complimentary Metal-oxide Semiconductors) and the memristor to design a non-volatile load 4-Transistor (4T) Static Random Access Memory (SRAM) cell for Low Power applications. By combining the flexibility of MOS devices and the non-volatility of Memristors, storage circuitry shows potential to realize highly power-efficient and non-volatile storage systems. Memristor is a non-volatile element that memorizes the amount of charge passed through it while storing the information in the form of resistance. Simulations demonstrate the utility and functionality of the circuitry, where the memristor is precisely modeled using CAD tools. Simulation results are performed on Cadence virtuoso tool at 45nm technology. The results show that the proposed SRAM cell has the optimized results at a resistance of 10MΩ. The proposed circuit has Static Power (4.89×10-9 Watts), Dynamic Power (5.09×10-8 Watts) and Average Power (2.79×10-8 Watts).
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用于低功耗应用的混合cmos -记忆电阻4T-NVSRAM单元
介绍忆阻器和忆阻器件在VLSI设计和电子添加新的功能,模拟和数字电路设计。忆阻器在不同领域都有应用,比如具有非易失性行为的存储器(nvram -非易失性随机存取存储器)、神经网络、模拟生物实体的机器人、低功耗和遥感应用、模拟计算和电路应用、交叉锁存器、可编程逻辑和信号处理。忆阻器的基本属性是数据存储,也就是说,它作为一个存储元件。本文提出了CMOS(互补金属氧化物半导体)和忆阻器的混合组合,以设计一种用于低功耗应用的非易失性负载4晶体管(4T)静态随机存取存储器(SRAM)单元。通过结合MOS器件的灵活性和忆阻器的非易失性,存储电路显示出实现高能效和非易失性存储系统的潜力。忆阻器是一种非易失性元件,它在以电阻的形式存储信息的同时,可以记住通过它的电荷量。仿真演示了电路的实用性和功能,其中使用CAD工具对忆阻器进行了精确建模。仿真结果在45纳米工艺的Cadence virtuoso工具上进行。结果表明,所提出的SRAM电池在电阻为10MΩ时具有优化结果。所提出的电路具有静态功率(4.89×10-9瓦)、动态功率(5.09×10-8瓦)和平均功率(2.79×10-8瓦)。
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