A 28-nm RRAM Computing-in-Memory Macro Using Weighted Hybrid 2T1R Cell Array and Reference Subtracting Sense Amplifier for AI Edge Inference

Author:

Ye Wang1ORCID,Wang Linfang1ORCID,Zhou Zhidao1,An Junjie1,Li Weizeng1,Gao Hanghang1,Li Zhi1,Yue Jinshan1ORCID,Hu Hongyang1ORCID,Xu Xiaoxin1ORCID,Yang Jianguo1ORCID,Liu Jing1ORCID,Shang Dashan1ORCID,Zhang Feng1ORCID,Tian Jinghui2,Dou Chunmeng1ORCID,Liu Qi2ORCID,Liu Ming2

Affiliation:

1. Laboratory of Microelectronics Devices and Integrated Technology, State Key Laboratory of Fabrication Technologies for Integrated Circuits, Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China

2. Frontier Institute of Chip and System, State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai, China

Funder

National Key Research and Development Program

NSFC

Strategic Priority Research Program of the Chinese Academy of Sciences

Project of Ministry of Education (MOE) Innovation Platform

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Reference47 articles.

1. A 4 Mb embedded SLC resistive-RAM macro with 7.2 ns read-write random-access time and 160 ns MLC-access capability;sheu;IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers,2011

2. A 40 nm 64 Kb 26.56 TOPS/W 2.37 Mb/mm2 RRAM binary/compute-in-memory macro with 4.23x improvement in density and75% use of sensing dynamic range;spetalnick;IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers,2022

3. Design Challenges and Solutions of Emerging Nonvolatile Memory for Embedded Applications

4. A 40-nm 118.44-TOPS/W Voltage-Sensing Compute-in-Memory RRAM Macro With Write Verification and Multi-Bit Encoding

5. Embedded 1 Mb ReRAM in 28 nm CMOS with 0.27-to-1 V read using swing-sample-and-couple sense amplifier and self-boost-write-termination scheme;chang;IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers,2014

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3