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

• 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

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...