Energy efficiency optimization of FPGA-based CNN accelerators with full data reuse and VFS

Energy efficiency optimization of FPGA-based CNN accelerators with full data reuse and VFS

Abstract—While FPGA has been recognized as a promising platform to accelerate Convolutional Neural Networks (CNNs) in embedded computing given its high flexibility and power efficiency, two challenges still have to be addressed to enhance its applicability on the edgecomputing paradigm. First, the p...

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Bibliographic Details
Main Authors: Jiang, Weixiong, Yu, Heng, Liu, Xinzhe, Ha, Yajun
Format: Conference or Workshop Item
Language:English
Published: 2019
Online Access:https://eprints.nottingham.ac.uk/60004/

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