An Efficient CNN Accelerator Using Inter-Frame Data Reuse of Videos on FPGAs

Convolutional neural networks (CNNs) have had great success when applied to computer vision technology, and many application-specific integrated circuit (ASIC) and field-programmable gate array (FPGA) CNN accelerators have been proposed. These accelerators primarily focus on the acceleration of a si...

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Bibliographic Details
Published in:	IEEE transactions on very large scale integration (VLSI) systems Vol. 30; no. 11; pp. 1 - 14
Main Authors:	Li, Shengzhao, Wang, Qin, Jiang, Jianfei, Sheng, Weiguang, Jing, Naifeng, Mao, Zhigang
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accelerators Algorithms Application specific integrated circuits Artificial neural networks Computer vision Convolution Convolutional neural network (CNN) Convolutional neural networks Digital signal processing Digital signal processors Efficiency Field programmable gate arrays field-programmable gate array (FPGA) accelerator incremental operation input similarity Microprocessors Neural networks Operators (mathematics) Quantization (signal) Signal processing algorithms video applications Videos Winograd algorithm
ISSN:	1063-8210, 1557-9999
Online Access:	Get full text
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