An efficient loop tiling framework for convolutional neural network inference accelerators

An efficient loop tiling framework for convolutional neural network inference accelerators

Abstract Convolutional neural networks (CNNs) have been widely applied in the field of computer vision due to their inherent advantages in image feature extraction. However, it is difficult to implement CNNs directly on embedded platforms owing to excessive calculations of CNNs. Field Programmable G...

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Bibliographic Details
Main Authors: Hongmin Huang, Xianghong Hu, Xueming Li, Xiaoming Xiong
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:IET Circuits, Devices and Systems
Subjects:
field programmable gate arrays
convolutional neural nets
hardware accelerators
inference mechanisms
Online Access:https://doi.org/10.1049/cds2.12091
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https://doi.org/10.1049/cds2.12091

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