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

Abhronil Sengupta; Kaushik Roy

doi:10.1109/TCSI.2016.2615312

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

Abhronil Sengupta, Kaushik Roy

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

48 Scopus citations

Abstract

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.

Original language	English (US)
Article number	7755884
Pages (from-to)	2267-2277
Number of pages	11
Journal	IEEE Transactions on Circuits and Systems I: Regular Papers
Volume	63
Issue number	12
DOIs	https://doi.org/10.1109/TCSI.2016.2615312
State	Published - Dec 2016

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/TCSI.2016.2615312

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abstract = "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.",

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

Abstract

All Science Journal Classification (ASJC) codes

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