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