Research on Convolutional Neural Network Inference Acceleration and Performance Optimization for Edge Intelligence

Research on Convolutional Neural Network Inference Acceleration and Performance Optimization for Edge Intelligence

In recent years, edge intelligence (EI) has emerged, combining edge computing with AI, and specifically deep learning, to run AI algorithms directly on edge devices. In practical applications, EI faces challenges related to computational power, power consumption, size, and cost, with the primary cha...

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Bibliographic Details
Main Authors: Yong Liang, Junwen Tan, Zhisong Xie, Zetao Chen, Daoqian Lin, Zhenhao Yang
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
FPGA
HLS
edge intelligence
deep learning
heterogeneous computing
Online Access:https://www.mdpi.com/1424-8220/24/1/240

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https://www.mdpi.com/1424-8220/24/1/240

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