An Energy-Efficient Method for Recurrent Neural Network Inference in Edge Cloud Computing

An Energy-Efficient Method for Recurrent Neural Network Inference in Edge Cloud Computing

Recurrent neural networks (RNNs) are widely used to process sequence-related tasks such as natural language processing. Edge cloud computing systems are in an asymmetric structure, where task managers allocate tasks to the asymmetric edge and cloud computing systems based on computation requirements...

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Bibliographic Details
Main Authors:	Chao Chen, Weiyu Guo, Zheng Wang, Yongkui Yang, Zhuoyu Wu, Guannan Li
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Symmetry
Subjects:	recurrent neural network energy optimization machine learning edge computing deep learning artificial neural network
Online Access:	https://www.mdpi.com/2073-8994/14/12/2524

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