A tunable magnetic skyrmion neuron cluster for energy efficient artificial neural network

Zhezhi He, Deliang Fan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

Artificial neuron is one of the fundamental computing unit in brain-inspired artificial neural network. The standard CMOS based artificial neuron designs to implement non-Unear neuron activation function typically consist of large number of transistors, which inevitably causes large area and power consumption. There is a need for novel nanoelectronic device that can intrinsically and efficiently implement such complex non-Unear neuron activation function. Magnetic skyrmions are topologically stable chiral spin textures due to Dzyaloshinskii-Moriya interaction in bulk magnets or magnetic thin films. They are promising next-generation information carrier owing to ultra-small size (sub-10nm), high speed (>100n]/s) with ultra-low depinning current density (MA/cm2) and high defect tolerance compared to conventional magnetic domain wall motion devices. In this work, to the best of our knowledge, we are the first to propose a threshold-tunable artificial neuron based on magnetic skyrmion. Meanwhile, we propose a Skyrmion Neuron Cluster (SNC) to approximate non-linear soft-limiting neuron activation functions, such as the most popular sigmoid function. The device to system simulation indicates that our proposed SNC leads to 98.74% recognition accuracy in deep learning Convolutional Neural Network (CNN) with MNIST handwritten digits dataset Moreover, the energy consumption of our proposed SNC is only 3.1 fj/step, which is more than two orders lower than that of CMOS counterpart.

Original languageEnglish (US)
Title of host publicationProceedings of the 2017 Design, Automation and Test in Europe, DATE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages350-355
Number of pages6
ISBN (Electronic)9783981537093
DOIs
StatePublished - May 11 2017
Externally publishedYes
Event20th Design, Automation and Test in Europe, DATE 2017 - Swisstech, Lausanne, Switzerland
Duration: Mar 27 2017Mar 31 2017

Publication series

NameProceedings of the 2017 Design, Automation and Test in Europe, DATE 2017

Other

Other20th Design, Automation and Test in Europe, DATE 2017
CountrySwitzerland
CitySwisstech, Lausanne
Period3/27/173/31/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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