First Demonstration of Innovative 3D AND-Type Fully-Parallel Convolution Block with Ultra-High Area-and Energy-Efficiency

  • Jangsaeng Kim
  • , Jiseong Im
  • , Jonghyun Ko
  • , Soochang Lee
  • , Dongseok Kwon
  • , Wonjun Shin
  • , Joon Hwang
  • , Ryun Han Koo
  • , Woo Young Choi
  • , Jong Ho Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We propose for the first time a novel 3D AND-type flash memory array for a fully-parallel convolution block (FPCB) designed to realize compute-in-memory technology. By leveraging the structural advantages of 3D AND-type cells, the FPCB achieves area- and energy-efficient convolution and fully-connected operations with full memory utilization. In the convolution operation, the FPCB significantly reduces the number of cells and line resistance by a factor of about 10-4 or less (for the ImageNet dataset). Compared to conventional crossbars, the FPCB reduces ~96% and ~74% of area occupancy and energy consumption, respectively.

Original languageEnglish
Title of host publication2023 International Electron Devices Meeting, IEDM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350327670
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 International Electron Devices Meeting, IEDM 2023 - San Francisco, United States
Duration: 9 Dec 202313 Dec 2023

Publication series

NameTechnical Digest - International Electron Devices Meeting, IEDM
ISSN (Print)0163-1918

Conference

Conference2023 International Electron Devices Meeting, IEDM 2023
Country/TerritoryUnited States
CitySan Francisco
Period9/12/2313/12/23

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