New paradigm of FPGA-based computational intelligence from surveying the implementation of DNN accelerators

With the rapid development of Artificial Intelligence, Internet of Things, 5G, and other technologies, a number of emerging intelligent applications represented by image recognition, voice recognition, autonomous driving, and intelligent manufacturing have appeared. These applications require effici...

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Veröffentlicht in:	Design automation for embedded systems Jg. 26; H. 1; S. 1 - 27
Hauptverfasser:	You, Yang, Chang, Yinghui, Wu, Weikang, Guo, Bingrui, Luo, Hongyin, Liu, Xiaojie, Liu, Bijing, Zhao, Kairong, He, Shan, Li, Lin, Guo, Donghui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2022 Springer Springer Nature B.V
Schlagworte:	Acceleration Algorithms Application-specific integrated circuits Artificial intelligence CAE) and Design Circuits and Systems Co-design Comparative analysis Computer-Aided Engineering (CAD Custom integrated circuits Cycle ratio Data mining Digital integrated circuits Energy efficiency Engineering Field programmable gate arrays Hardware Intelligence Intelligent manufacturing systems Internet of Things Machine learning Moore's law Object recognition Power consumption Special Purpose and Application-Based Systems Voice recognition DNN accelerators In-memory computation Field programmable gate array (FPGA) Embedded implementation Software/hardware co-design
ISSN:	0929-5585, 1572-8080
Online-Zugang:	Volltext
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