AFE-CIM: A Current-Domain Compute-In-Memory Macro for Analog-to-Feature Extraction

Author:

Sharma Sudarshan1,Wang Wei-Chun1,DeLude Coleman1,Lee Minah1,Rahman Nael Mizanur1,Kidambi Narasimha Vasishta1,Romberg Justin1,Mukhopadhyay Saibal1

Affiliation:

1. Georgia Institute of Technology,Department of Electrical and Computer Engineering,Atlanta,GA,USA

Publisher

IEEE

Reference9 articles.

1. A Charge-Domain Scalable-Weight In-Memory Computing Macro With Dual-SRAM Architecture for Precision-Scalable DNN Accelerators

2. 16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications;chih;ISSCC,2021

3. A 40nm 64kb 26.56TOPS/W 2.37Mb/ mm2 RRAM Binary/Compute-in-Memory Macro with 4.23x Improvement in Density and >75 Use of Sensing Dynamic Range;spetalnick,2022

4. A 32.2 TOPS/W SRAM Compute-in-Memory Macro Employing a Linear 8-bit C-2C Ladder for Charge Domain Computation in 22nm for Edge Inference

5. Broadband Beamforming via Linear Embedding;delude;arXiv preprint arXiv 2206 07143,2022

Cited by 6 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. Coupled 7T 1C SRAM based in-memory computing architecture with gain/offset error auto-compensated SAR ADC;Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design;2024-08-05

2. Measurement of Aging Effect on an Analog Computing-In-Memory Macro in 28nm CMOS;2024 IEEE International Reliability Physics Symposium (IRPS);2024-04-14

3. BeamCIM: A Compute-In-Memory based Broadband Beamforming Accelerator using Linear Embedding;2024 IEEE Radio and Wireless Symposium (RWS);2024-01-21

4. An 11T1C Bit-Level-Sparsity-Aware Computing-in-Memory Macro With Adaptive Conversion Time and Computation Voltage;IEEE Transactions on Circuits and Systems I: Regular Papers;2024

5. Energy-Efficient Sensor Platform using Reliable Analog-to-Feature Extraction;2023 IEEE SENSORS;2023-10-29

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