Multi-context TCAM based selective computing architecture for a low-power NN

Ren Arakawa, Naoya Onizawa, Jean Philippe Diguet, Takahiro Hanyu

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we propose an energy-efficient hardware architecture that consists of multipliers and a non-volatile Multi-Context Ternary Content-Addressable Memory (MC-TCAM), where a CMOS/magnetic tunnel junction (MTJ) devices-hybrid circuit technique is used. If the input data stored in MC-TCAMs is appeared, the corresponding multiplication result is obtained from the MC-TCAM, resulting in the energy-efficiency. In addition, as the upper bits of the input data could be cut in a target application, the memory capacity of the MC-TCAM becomes small, which reduces power consumption in the MC-TCAMs. In case of speech command recognition, the proposed architecture reduces the power consumption by 45% at the multiplication of a CNN keeping the accuracy using TSMC 65-nm CMOS and a MTJ model.

本文言語English
ホスト出版物のタイトル2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ117-118
ページ数2
ISBN(電子版)9781728109961
DOI
出版ステータスPublished - 2019 11
イベント26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 - Genoa, Italy
継続期間: 2019 11 272019 11 29

出版物シリーズ

名前2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019

Conference

Conference26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019
CountryItaly
CityGenoa
Period19/11/2719/11/29

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Optimization
  • Computer Networks and Communications
  • Hardware and Architecture

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