An SRAM-based Error-Free Time Domain Pulse Train Computing-In-Memory Macro achieving 226.14 TOPS/W and 5.782 TOPS/mm2

Edward Jongyoon Choi, Jiho Chun, Byeongseon Choi, Sohmyung Ha, Ik Joon Chang, Minkyu Je

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

Abstract

This paper presents an SRAM-based input bit configurable pulse-train computing-in-memory (CIM) macro for edge devices. The proposed macro computes matrix-vector-multiplications (MVM) in a bit-wise manner, generating pulse trains to overcome the limited signal margin and variations occurring in analog time-domain SRAM-based CIM macros. Furthermore, the system architecture comprises an error-free dynamic OR gate discharge computation, effectively addressing the non-linearity associated with analog computation methods. It also incorporates a dual pulse counter, which enhances the throughput of the system while maintaining high energy efficiency. The prototype 4Kb pulse train SRAM CIM was implemented using 28-nm CMOS technology, achieving 226.14 TOPS/W energy efficiency and a 5.14× increase in area efficiency compared to the state-of-the-art reaching 5.782 TOPS/mm2.

Original languageEnglish (US)
Title of host publicationProceedings - International SoC Design Conference 2024, ISOCC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages119-120
Number of pages2
ISBN (Electronic)9798350377088
DOIs
StatePublished - 2024
Event21st International System-on-Chip Design Conference, ISOCC 2024 - Sapporo, Japan
Duration: Aug 19 2024Aug 22 2024

Publication series

NameProceedings - International SoC Design Conference 2024, ISOCC 2024

Conference

Conference21st International System-on-Chip Design Conference, ISOCC 2024
Country/TerritoryJapan
CitySapporo
Period8/19/248/22/24

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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