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PADCIM: A 1966.9-TOPS/W 2.09%-RMSE Probabilistic Approximate Dynamic-Logic Based Digital Computing-in-Memory Macro in 40nm

  • Wente Yi
  • , Zhenyu Xue
  • , Tianshuo Bai
  • , Lehao Tan
  • , Han Zhang
  • , Jingcheng Gu
  • , Jintao Mo
  • , Wenjia Wang
  • , Biao Pan*
  • , Weisheng Zhao
  • *Corresponding author for this work
  • Beihang University

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

Abstract

This work presents a 1966.9-TOPS/W 2.09%-RMSE digital computing-in-memory (CIM) macro named PADCIM. It has three key features: 1) Probabilistic approximate adder tree (PAAT) coupled with delay clock chain, achieve high energy efficiency and low RMSE while resolving slope deviation. 2) Full dynamic-logic computing circuits (FDCC) combined with NP-Domino cascading, reduce chip power and area. 3) XOR-based multi-bit computation scheme (XMCS) integrated with bias-error compensation, enable accurate binary and multi-bit computations. Fabricated in 40 nm technology, PADCIM demonstrates 1.12 × higher energy efficiency and 1.92 × lower RMSE than the SOTA ADCIM. It further achieves up to 1.70 × higher energy efficiency over 28 nm / 12 nm-nodes chips, while delivering 87.56% (1b/1b) and 91.19% (4b/1b) inference accuracy on CIFAR-10.

Original languageEnglish
Title of host publicationProceedings - 51st IEEE European Solid-State Electronics Research Conference, ESSERC 2025
PublisherIEEE Computer Society
Pages429-432
Number of pages4
ISBN (Electronic)9798331525392
DOIs
StatePublished - 2025
Event51st IEEE European Solid-State Electronics Research Conference, ESSERC 2025 - Munich, Germany
Duration: 8 Sep 202511 Sep 2025

Publication series

NameEuropean Solid-State Circuits Conference
ISSN (Print)1930-8833

Conference

Conference51st IEEE European Solid-State Electronics Research Conference, ESSERC 2025
Country/TerritoryGermany
CityMunich
Period8/09/2511/09/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Digital computing-in-memory
  • full dynamic-logic
  • multi-bit computation
  • probabilistic approximate

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