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浏览/检索结果: 共8条，第1-8条 帮助 限定条件 发表日期：2019    内容类型：期刊论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 moDNN: Memory Optimal Deep Neural Network Training on Graphics Processing Units 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 3, 页码: 646-661 作者:  Hu, Xiaobo Sharon;  Han, Yinhe;  Chen, Danny Ziyi;  Chen, Xiaoming 收藏  |  浏览/下载：34/0  |  提交时间：2019/04/03 Deep neural networks  graphics processing units  memory usage   A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks. 期刊论文 IEEE Transactions on Parallel & Distributed Systems, 2019, 卷号: Vol.30 No.5, 页码: 965-976 作者:  Chen, Jianguo;  Li, Kenli;  Bilal, Kashif;  Zhou, Xu;  Li, Keqin 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/13 Acceleration  bi-layered parallel computing  Big data  Computational modeling  Computer architecture  convolutional neural networks  deep learning  distributed computing  Parallel processing  Task analysis  Training   A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks 期刊论文 IEEE Transactions on Parallel and Distributed Systems, 2019, 卷号: Vol.30 No.5, 页码: 965-976 作者:  Jianguo Chen;  Kenli Li;  Kashif Bilal;  xu zhou;  Keqin Li 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/13 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   A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks 期刊论文 IEEE Transactions on Parallel & Distributed Systems, 2019, 卷号: Vol.30 No.5, 页码: 965-976 作者:  Chen, JG;  Li, KL;  Bilal, K;  Zhou, X;  Li, KQ 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/13 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   A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks. 期刊论文 IEEE Transactions on Parallel & Distributed Systems, 2019, 卷号: Vol.30 No.5, 页码: 965-976 作者:  Chen, Jianguo;  Li, Kenli;  Bilal, Kashif;  Zhou, Xu;  Li, Keqin 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/17 Acceleration  bi-layered parallel computing  Big data  Computational modeling  Computer architecture  convolutional neural networks  deep learning  distributed computing  Parallel processing  Task analysis  Training   A Bi-layered Parallel Training Architecture for Large-Scale Convolutional Neural Networks 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: Vol.30 No.5, 页码: 965-976 作者:  Chen, JG;  Li, KL;  Bilal, K;  Zhou, X;  Li, KQ 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/17 Big data  bi-layered parallel computing  convolutional neural networks  deep learning  distributed computing   Parameter Communication Consistency Model for Large-Scale Security Monitoring Based on Mobile Computing 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 171884-171897 作者:  Yang, Rui;  Zhang, Jilin;  Wan, Jian;  Zhou, Li;  Shen, Jing 收藏  |  浏览/下载：2/0  |  提交时间：2020/12/10 Mobile computing  security monitoring  distributed machine learning  limited synchronous parallel model  parameter server   Model Aggregation Method for Data Parallelism in Distributed Real-Time Machine Learning of Smart Sensing Equipment 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 172065-172073 作者:  Fan, Yuchen;  Zhang, Jilin;  Zhao, Nailiang;  Ren, Yongjian;  Wan, Jian 收藏  |  浏览/下载：1/0  |  提交时间：2020/12/10 Distributed machine learning  stochastic gradient descent  model aggregation method  smart sensing equipment