In-Memory Computing Architecture for a Convolutional Neural Network Based on Spin Orbit Torque MRAM

In-Memory Computing Architecture for a Convolutional Neural Network Based on Spin Orbit Torque MRAM

Recently, numerous studies have investigated computing in-memory (CIM) architectures for neural networks to overcome memory bottlenecks. Because of its low delay, high energy efficiency, and low volatility, spin-orbit torque magnetic random access memory (SOT-MRAM) has received substantial attention...

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Bibliographic Details
Main Authors: Jun-Ying Huang, Jing-Lin Syu, Yao-Tung Tsou, Sy-Yen Kuo, Ching-Ray Chang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Electronics
Subjects:
convolution neural network
computing in memory
processing in memory
distributed arithmetic
MRAM
SOT-MRAM
Online Access:https://www.mdpi.com/2079-9292/11/8/1245

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