SOPC-based Implementation of Convolutional Neural Network

Xing Feng, Mingfei Jia, He Chen

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Convolutional Neural Network (CNN) is an algorithm widely used in the field of deep learning. Due to the large number of intensive parallel data operations, the use of CPU to implement the CNN serially consumes too much time. In view of the above research background, the System-on-a-Programmable-Chip (SOPC) implementation and acceleration modules of CNN are designed by using the Zynq-7035 development platform launched by Xilinx as the experimental platform. The experiment results show that our method is effective and efficiency for the target image classification on the development platform.

源语言英语
主期刊名ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728123455
DOI
出版状态已出版 - 12月 2019
活动2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, 中国
期限: 11 12月 201913 12月 2019

出版系列

姓名ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

会议

会议2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
国家/地区中国
Chongqing
时期11/12/1913/12/19

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引用此

Feng, X., Jia, M., & Chen, H. (2019). SOPC-based Implementation of Convolutional Neural Network. 在 ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 文章 9173337 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP47821.2019.9173337