A high‐capacity and nonvolatile spintronic associative memory hardware accelerator

Autor: Mahan Rezaei, Abdolah Amirany, Mohammad Hossein Moaiyeri, Kian Jafari
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: IET Circuits, Devices and Systems, Vol 17, Iss 4, Pp 205-212 (2023)
Druh dokumentu: article
ISSN: 1751-8598
1751-858X
DOI: 10.1049/cds2.12160
Popis: Abstract Significant progress has been made in manufacturing emerging technologies in recent years. This progress implemented in‐memory‐computing and neural networks, one of today's hottest research topics. Over time, the need to process complex tasks has increased. This need causes the emergence of intelligent processors. A nonvolatile associative memory based on spintronic synapses utilising magnetic tunnel junction (MTJ) and carbon nanotube field‐effect transistors (CNTFET)‐based neurons is proposed. The proposed design uses the MTJ device because of its fascinating features, such as reliable reconfiguration and nonvolatility. At the same time, CNTFET has overcome conventional complementary metal‐oxide‐semiconductor shortcomings like the short channel effect, drain‐induced barrier lowering, and poor hole mobility. The proposed design is simulated in the presence of process variations. The proposed design aims to increase the number of weights generated in the synapse for higher memory capacity and accuracy. The effect of different tunnel magnetoresistance (TMR) values (100%, 200%, and 300%) on the performance and accuracy of the proposed design has also been investigated. This investigation shows that the proposed design performs well even with a low TMR value, which is very important and remarkable from the fabrication point of view.
Databáze: Directory of Open Access Journals
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