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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Bibliographic Details
Main Authors: Wang, Hongzhe, Wang, Junjie, Hu, Hao, Li, Guo, Hu, Shaogang, Yu, Qi, Liu, Zhen, Chen, Tupei, Zhou, Shijie, Liu, Yang
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
RRAM
Convolutional Neural Network
Online Access:https://hdl.handle.net/10356/169464

Internet

https://hdl.handle.net/10356/169464

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