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低温存内计算芯片设计研究综述

束宇豪 李怡霏 王禁城 刘伟强 哈亚军

集成电路与嵌入式系统2025,Vol.25Issue(8):23-30,8.
集成电路与嵌入式系统2025,Vol.25Issue(8):23-30,8.DOI:10.20193/j.ices2097-4191.2025.0046

低温存内计算芯片设计研究综述

Review on cryogenic in-memory computing chip design

束宇豪 1李怡霏 2王禁城 2刘伟强 1哈亚军2

作者信息

  • 1. 南京航空航天大学集成电路学院,南京 211106
  • 2. 上海科技大学信息科学与技术学院,上海 201210
  • 折叠

摘要

Abstract

With the rapid advancement of cutting-edge technologies such as artificial intelligence and quantum computing,the demand for high-performance computing chips continues to increase.However,traditional von Neumann architectures are increasingly constrained by the memory wall and power wall,making it difficult to meet the computing demands of data-intensive applications.Cryogenic in-memory computing combines the superior electrical properties of cryogenic CMOS devices with the high bandwidth and low latency ad-vantages of in-memory computing architectures,providing a new solution to overcome computing bottlenecks.This review summarizes the key characteristics of CMOS devices and various memory media at cryogenic temperatures,systematically reviews representative ar-chitectures,key implementations,and performance metrics of cryogenic in-memory computing in the fields of artificial intelligence and quantum computing.Moreover,this review analyzes the challenges and development trends at the levels of device technology,circuit systems,and EDA tools.

关键词

低温CMOS/存内计算/人工智能/量子纠错/量子计算/存储器

Key words

cryogenic CMOS/in-memory computing/artificial intelligence/quantum error correction/quantum computing/memory

分类

信息技术与安全科学

引用本文复制引用

束宇豪,李怡霏,王禁城,刘伟强,哈亚军..低温存内计算芯片设计研究综述[J].集成电路与嵌入式系统,2025,25(8):23-30,8.

基金项目

国家自然科学基金项目(U2441247,62425404) (U2441247,62425404)

张江实验室 ()

集成电路与嵌入式系统

1009-623X

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