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A resource-adaptive tensor decomposition method for convolutional neural networks

XIE Xiaoyan REN Xun ZHU Yun YU Jinhao JIN Luochen YANG Tianjiao

High Technology Letters2025，Vol.31Issue(4)：P.355-364,10.

High Technology Letters2025，Vol.31Issue(4)：P.355-364,10.DOI:10.3772/j.issn.1006-6748.2025.04.005

A resource-adaptive tensor decomposition method for convolutional neural networks

XIE Xiaoyan ¹REN Xun ¹ZHU Yun ²YU Jinhao ¹JIN Luochen ¹YANG Tianjiao¹

作者信息

1. School of Computer,Xi’an University of Posts and Telecommunications,Xi’an 710121,P.R.China
2. School of Electronic Engineering,Xi’an University of Posts and Telecommunications,Xi’an 710121,P.R.China
折叠

摘要

关键词

tensor decomposition/operator parallelism/convolutional neural network(CNN)

分类

信息技术与安全科学

引用本文复制引用

XIE Xiaoyan,REN Xun,ZHU Yun,YU Jinhao,JIN Luochen,YANG Tianjiao..A resource-adaptive tensor decomposition method for convolutional neural networks[J].High Technology Letters,2025,31(4):P.355-364,10.

基金项目

Supported by the National Science and Technology Major Project of China(No.2022ZD0119003) （No.2022ZD0119003）

the National Natural Science Foundation of China(No.61834005). （No.61834005）

High Technology Letters

ISSN：1006-6748

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