A 36.2 dB High SNR and PVT/Leakage-Robust eDRAM Computing-In-Memory Macro With Segmented BL and Reference Cell Array
Author:
Affiliation:
1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
Funder
Institute of Information & Communications Technology Planning & Evaluation
Korea Government
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/9766072/09736994.pdf?arnumber=9736994
Reference15 articles.
1. 16.2 eDRAM-CIM: Compute-In-Memory Design with Reconfigurable Embedded-Dynamic-Memory Array Realizing Adaptive Data Converters and Charge-Domain Computing
2. SRIF: Scalable and Reliable Integrate and Fire Circuit ADC for Memristor-Based CIM Architectures
3. A low power in-memory multiplication and accumulation array with modified radix-4 input and canonical signed digit weights;xiao;arXiv 2101 02419,2021
4. 33.2 A Fully Integrated Analog ReRAM Based 78.4TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing
5. Learning multiple layers of features from tiny images;krizhevsky,2009
Cited by 17 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
1. Scaling-CIM: eDRAM In-Memory-Computing Accelerator With Dynamic-Scaling ADC and Adaptive Analog Operation;IEEE Journal of Solid-State Circuits;2024-08
2. A 1–8b Reconfigurable Digital SRAM Compute-in-Memory Macro for Processing Neural Networks;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-04
3. Compute-in-Memory with SAR ADC and 2T1C DRAM for MAC Operations;2024 International Conference on Electronics, Information, and Communication (ICEIC);2024-01-28
4. ZEBRA: A Zero-Bit Robust-Accumulation Compute-In-Memory Approach for Neural Network Acceleration Utilizing Different Bitwise Patterns;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22
5. eCIMC: A 603.1-TOPS/W eDRAM-Based Cryogenic In-Memory Computing Accelerator Supporting Boolean/Convolutional Operations;IEEE Journal of Solid-State Circuits;2024
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