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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトル2018 IEEE Symposium on VLSI Technology, VLSI Technology 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ27-28
ページ数2
ISBN(電子版)9781538642160
DOI
出版ステータス出版済み - 10 25 2018
外部発表はい
イベント38th IEEE Symposium on VLSI Technology, VLSI Technology 2018 - Honolulu, 米国
継続期間: 6 18 20186 22 2018

出版物シリーズ

名前Digest of Technical Papers - Symposium on VLSI Technology
2018-June
ISSN(印刷版)0743-1562

会議

会議38th IEEE Symposium on VLSI Technology, VLSI Technology 2018
Country米国
CityHonolulu
Period6/18/186/22/18

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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