Magnetic domain wall based synaptic and activation function generator for neuromorphic accelerators
Name
1909.06026.pdf
Description
Submitted version
Size
1.08 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Siddiqui, Saima Afroz
Dutta, Sumit
Tang, Astera S.
Liu, Luqiao
Ross, Caroline A.
Baldo, Marc A
Date Issued
December 2019
Journal
Nano Letters
Publisher
American Chemical Society (ACS)
Citation
Siddiqui, Saima A. et al. “Magnetic domain wall based synaptic and activation function generator for neuromorphic accelerators.” Nano Letters, 20, 2 (December 2019): 1033–1040 © 2019 The Author(s)
Version
Original manuscript
Abstract
Magnetic domain walls are information tokens in both logic and memory devices and hold particular interest in applications such as neuromorphic accelerators that combine logic in memory. Here, we show that devices based on the electrical manipulation of magnetic domain walls are capable of implementing linear, as well as programmable nonlinear, functions. Unlike other approaches, domain-wall-based devices are ideal for application to both synaptic weight generators and thresholding in deep neural networks. Prototype micrometer-size devices operate with 8 ns current pulses and the energy consumption required for weight modulation is ≤16 pJ. Both speed and energy consumption compare favorably to other synaptic nonvolatile devices, with the expected energy dissipation for scaled 20 nm devices close to that of biological neurons.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1021/ACS.NANOLETT.9B04200
