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	A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks
	Jianguo Chen; Kenli Li; Kashif Bilal; xu zhou; Keqin Li; Philip S. Yu
刊名	IEEE Transactions on Parallel and Distributed Systems
	2019
卷号	Vol.30 No.5页码:965-976
关键词	Training Computer architecture Computational modeling Parallel processing Task analysis Distributed computing Acceleration Big data bi-layered parallel computing convolutional neural networks deep learning distributed computing
ISSN号	1045-9219;1558-2183
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4610112
专题	湖南大学
作者单位	1.College of Computer Science and Electronic Engineering, Hunan University, Changsha, China 2.COMSATS University Islamabad, Abbottabad, Pakistan 3.Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA
推荐引用方式 GB/T 7714	Jianguo Chen,Kenli Li,Kashif Bilal,et al. A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks[J]. IEEE Transactions on Parallel and Distributed Systems,2019,Vol.30 No.5:965-976.
APA	Jianguo Chen,Kenli Li,Kashif Bilal,xu zhou,Keqin Li,&Philip S. Yu.(2019).A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks.IEEE Transactions on Parallel and Distributed Systems,Vol.30 No.5,965-976.
MLA	Jianguo Chen,et al."A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks".IEEE Transactions on Parallel and Distributed Systems Vol.30 No.5(2019):965-976.

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