A Vision for All-Spin Neural Networks: A Device to System Perspective

Spin-transfer torque (STT) mechanisms in vertical and lateral spin valves and magnetization reversal/domain wall motion with spin-orbit torque (SOT) have opened up new possibilities of efficiently mimicking "neural" and "synaptic" functionalities with much lower area and energy c...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2016-12, Vol.63 (12), p.2267-2277
Main Authors: Sengupta, Abhronil, Roy, Kaushik
Format: Article
Language:English
Subjects:
Circuit design
CMOS
Domain walls
Energy consumption
Magnetic tunnel junction
Magnetic tunneling
Magnetization reversal
Microprocessors
Neural networks
neuromorphic computing
Neuromorphics
Neurons
Perpendicular magnetic anisotropy
Spin valves
spintronics
Switches
Synapses
Torque
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Summary:Spin-transfer torque (STT) mechanisms in vertical and lateral spin valves and magnetization reversal/domain wall motion with spin-orbit torque (SOT) have opened up new possibilities of efficiently mimicking "neural" and "synaptic" functionalities with much lower area and energy consumption compared to CMOS implementations. In this paper, we review various STT/SOT devices that can provide a compact and area-efficient implementation of artificial neurons and synapses. We provide a device-circuit-system perspective and envision design of an All-Spin neuromorphic processor (with different degrees of bio-fidelity) that can be potentially appealing for ultra-low power cognitive applications.
ISSN:1549-8328
1558-0806
DOI:10.1109/TCSI.2016.2615312