Convolutional Neural Network Acceleration Techniques Based on FPGA Platforms: Principles, Methods, and Challenges

As the complexity of convolutional neural networks (CNN) continues to increase, efficient deployment on computationally constrained hardware platforms has become a significant challenge. Against this backdrop, field-programmable gate arrays (FPGA) emerge as an up-and-coming CNN acceleration platform...

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Autors principals:	Li Gao, Zhongqiang Luo, Lin Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-10-01
Col·lecció:	Information
Matèries:	CNN FPGA accelerated design algorithm optimization hardware acceleration co-optimization
Accés en línia:	https://www.mdpi.com/2078-2489/16/10/914
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Convolutional Neural Network Acceleration Techniques Based on FPGA Platforms: Principles, Methods, and Challenges

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