Analog spike processing with high scalability and low energy consumption using thermal degree of freedom in phase transition materials

T. Yajima, T. Nishimura, A. Toriumi

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

2 Citations (Scopus)

Abstract

Spike integration and threshold processing are the basic signal processing in brain-inspired computing, such as deep learning, reservoir computing etc. In such processes, analog technology is essential for suppressing energy consumption. However, analog technology often faces problems in miniaturization due to deteriorated noise tolerance by scaling and intrinsically large analog elements such as capacitors. Here, we propose to exploit a thermal degree of freedom in phase transition materials for scalable and noise-tolerant analog spike processing. We focus on a two-terminal metal-insulator-transition VO2 device, where quasi-adiabatic Joule heating enables efficient spike integration, and metal-insulator transition implements threshold processing. This VO2 device is highly scalable, consuming only ∼1fJ/spike (smallest so far) according to the simulation. By using this device, fully autonomous spike integration and threshold processing are also demonstrated. Exploiting the quasi-adiabatic thermal degree of freedom will facilitate scalable and energy-efficient analog implementation for a wide range of brain-inspired computing.

Original languageEnglish
Title of host publication2018 IEEE Symposium on VLSI Technology, VLSI Technology 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages27-28
Number of pages2
ISBN (Electronic)9781538642160
DOIs
Publication statusPublished - Oct 25 2018
Externally publishedYes
Event38th IEEE Symposium on VLSI Technology, VLSI Technology 2018 - Honolulu, United States
Duration: Jun 18 2018Jun 22 2018

Publication series

NameDigest of Technical Papers - Symposium on VLSI Technology
Volume2018-June
ISSN (Print)0743-1562

Conference

Conference38th IEEE Symposium on VLSI Technology, VLSI Technology 2018
Country/TerritoryUnited States
CityHonolulu
Period6/18/186/22/18

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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