Considerations Of Integrating Computing-In-Memory And Processing-In-Sensor Into Convolutional Neural Network Accelerators For Low-Power Edge Devices-Reference-Cited by-同舟云学术

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Considerations Of Integrating Computing-In-Memory And Processing-In-Sensor Into Convolutional Neural Network Accelerators For Low-Power Edge Devices

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 Symposium on VLSI Circuits
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Author:

Tang Kea-Tiong,Wei Wei-Chen,Yeh Zuo-Wei,Hsu Tzu-Hsiang,Chiu Yen-Cheng,Xue Cheng-Xin,Kuo Yu-Chun,Wen Tai-Hsing,Ho Mon-Shu,Lo Chung-Chuan,Liu Ren-Shuo,Hsieh Chih-Cheng,Chang Meng-Fan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8766307/8777931/08778074.pdf?arnumber=8778074

Cited by 3 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. A Compilation Framework for SRAM Computing-in-Memory Systems With Optimized Weight Mapping and Error Correction;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-08

2. A collective AI via lifelong learning and sharing at the edge;Nature Machine Intelligence;2024-03-22

3. PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-01

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