Optimizing energy efficiency of CNN-based object detection with dynamic voltage and frequency scaling

Optimizing energy efficiency of CNN-based object detection with dynamic voltage and frequency scaling

On the one hand, accelerating convolution neural networks (CNNs) on FPGAs requires ever increasing high energy efficiency in the edge computing paradigm. On the other hand, unlike normal digital algorithms, CNNs maintain their high robustness even with limited timing errors. By taking advantage of t...

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Bibliographic Details
Main Authors: Jiang, Weixiong, Yu, Heng, Zhang, Jiale, Wu, Jiaxuan, Luo, Shaobo, Ha, Yajun
Format: Article
Language:English
Published: Chinese Institute of Electronics 2020
Subjects:
CNN; FPGA; DVFS; object detection
Online Access:https://eprints.nottingham.ac.uk/60946/

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