A High Swing and Low Power Associative Memory Based on Emerging Technologies

Mahan Rezaei, Arefe Amirany, Mohammad Hossein Moaiyaeri, Kian Jafari
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Abstract

Over time, the need to process complex tasks has increased. This need leads to intelligent processors. This paper proposed a robust nonvolatile associative memory based on spintronic synapses utilizing magnetic tunnel junction (MTJ) and carbon nanotube field-effect transistors (CNTFET)-based neurons. The Proposed synapse produces more weights with more distance between them. The proposed design uses the MTJ device because of its fascinating nonvolatility feature. At the same time, CNTFET has overcome the conventional CMOS shortcomings like the short channel effect and low hole mobility. The proposed design is simulated in the presence of process variations. The proposed design in this paper produces 2.2 times more weights with the same number of MTJs compared to a similar design, and this advantage has a high impact on the capacity of the implemented associative memory.
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基于新兴技术的高摆幅低功耗联想存储器
随着时间的推移,处理复杂任务的需求增加了。这种需求导致了智能处理器的出现。利用磁隧道结(MTJ)和碳纳米管场效应晶体管(CNTFET)神经元,提出了一种基于自旋电子突触的鲁棒非易失性联想记忆。提议的突触之间的距离越大,产生的权重越大。由于MTJ器件具有迷人的非易失性,因此提出的设计使用了MTJ器件。同时,CNTFET克服了传统CMOS的短沟道效应和低空穴迁移率等缺点。在存在工艺变化的情况下对所提出的设计进行了仿真。与类似的设计相比,本文提出的设计在相同数量的mtj下产生的权重是2.2倍,这一优势对实现的联想存储器的容量有很大的影响。
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