Intrinsic Capacitance based Multi bit Computing in Memory

Young Kyu Lee, Minjune Yeo, Seokhee Cho, Seong Ook Jung

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

Abstract

Computing in memory (CIM) technique is being researched for process multiply-And-Accumulate operation which is used in deep neural networks efficiently. Conventional CIM architecture only supports binary neural network which has lower accuracy. Some approaches use capacitor for multi bit operation. However, because capacitor has large size, the area efficiency of CIM macro is degraded. This paper proposes CIM macro structure that supports multi bit operation using parasitic capacitance of transistor. The proposed structure does not need additional capacitor and thus, it can achieve area efficient multi bit operation.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2021, ISOCC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages361-362
Number of pages2
ISBN (Electronic)9781665401746
DOIs
Publication statusPublished - 2021
Event18th International System-on-Chip Design Conference, ISOCC 2021 - Jeju Island, Korea, Republic of
Duration: 2021 Oct 62021 Oct 9

Publication series

NameProceedings - International SoC Design Conference 2021, ISOCC 2021

Conference

Conference18th International System-on-Chip Design Conference, ISOCC 2021
Country/TerritoryKorea, Republic of
CityJeju Island
Period21/10/621/10/9

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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