A Parallel Processing CNN Accelerator on Embedded Devices Based on Optimized MobileNet-Reference-Cited by-同舟云学术

A Parallel Processing CNN Accelerator on Embedded Devices Based on Optimized MobileNet

Published:2023-11-01 Issue:21 Volume:10 Page:18844-18852
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Yang Dingkun¹^ORCID,Luo Zhiyong²

Affiliation:

1. School of Advanced Manufacturing Engineering, the Engineering Research Center for Information and Intelligence, and the Key Laboratory of Intelligent Computing for Big Data, Chongqing University of Posts and Telecommunications, Chongqing, China

2. School of Advanced Manufacturing Engineering and the Engineering Research Center for Information and Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10288305/10130090.pdf?arnumber=10130090

Reference33 articles.

1. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks

2. Going Deeper with Embedded FPGA Platform for Convolutional Neural Network

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4. A high performance FPGA-based accelerator for large-scale convolutional neural networks;li;Proc 16th Int Conf Field Program Logic Appl (FPL),2016

5. A CNN Accelerator on FPGA Using Depthwise Separable Convolution

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