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WinoNet:Reconfigurable look-up table-based Winograd accelerator for arbitrary precision convolutional neural network inference

Wang Chengcheng Li He Cao Yanpeng Song Changjun Yu Feng Tang Yongming

东南大学学报：英文版2022，Vol.38Issue(4)：P.332-339,8.

东南大学学报：英文版2022，Vol.38Issue(4)：P.332-339,8.DOI:10.3969/j.issn.1003-7985.2022.04.002

WinoNet:Reconfigurable look-up table-based Winograd accelerator for arbitrary precision convolutional neural network inference

Wang Chengcheng ¹Li He ¹Cao Yanpeng ¹Song Changjun ¹Yu Feng ¹Tang Yongming¹

作者信息

1. School of Electronic Science and Engineering,Southeast University,Nanjing 210096,China
折叠

摘要

关键词

quantized neural networks/look-up table(LUT)-based multiplier/Winograd algorithm/arbitrary precision

分类

信息技术与安全科学

引用本文复制引用

Wang Chengcheng,Li He,Cao Yanpeng,Song Changjun,Yu Feng,Tang Yongming..WinoNet:Reconfigurable look-up table-based Winograd accelerator for arbitrary precision convolutional neural network inference[J].东南大学学报：英文版,2022,38(4):P.332-339,8.

基金项目

The Academic Colleges and Universities Innovation Program 2.0(No.BP0719013)。（No.BP0719013）

东南大学学报：英文版

ISSN：1003-7985

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