A reconfigurable processor for mix-precision CNNs on FPGA

To solve the problem of low computing efficiency of existing accelerators for convolutional neural network (CNNs), which caused by the inability to adapt to the characteristics of computing mode and caching for the mixed-precision quantized CNNs model, we propose a reconfigurable CNN processor in th...

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Bibliographic Details
Main Authors: CHANG Libo, ZHANG Shengbing
Format: Article
Language:zho
Published: EDP Sciences 2022-04-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
Online Access:https://www.jnwpu.org/articles/jnwpu/full_html/2022/02/jnwpu2022402p344/jnwpu2022402p344.html