Ultra-high-speed accelerator architecture for convolutional neural network based on processing-in-memory using resistive random access memory

Ultra-high-speed accelerator architecture for convolutional neural network based on processing-in-memory using resistive random access memory

Processing-in-Memory (PIM) based on Resistive Random Access Memory (RRAM) is an emerging acceleration architecture for artificial neural networks. This paper proposes an RRAM PIM accelerator architecture that does not use Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters (DACs). A...

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書目詳細資料
Main Authors:	Wang, Hongzhe, Wang, Junjie, Hu, Hao, Li, Guo, Hu, Shaogang, Yu, Qi, Liu, Zhen, Chen, Tupei, Zhou, Shijie, Liu, Yang
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Electrical and electronic engineering RRAM Convolutional Neural Network
在線閱讀:	https://hdl.handle.net/10356/169464
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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