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湖南大学 [11]

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	Parallel Learning for Legal Intelligence: A HANOI Approach Based on Unified Prompting 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 11 作者: Song, Zhuoyang; Huang, Min; Miao, Qinghai; Wang, Fei-Yue 收藏 \| 浏览/下载：4/0 \| 提交时间：2023/11/17 Index Ternis- Natural language processing (NLP) parallel learning (PL) parallel systems pretrained language model (PLM) prompt tuning
	DenseStream: A Novel Data Representation for Gradient Sparsification in Distributed Synchronous SGD Algorithms 会议论文澳大利亚昆士兰州, 2023年5月18-23日作者: Guangyao Li; Mingxue Liao; Yongyue Chao; Pin Lv 收藏 \| 浏览/下载：7/0 \| 提交时间：2023/06/28
	Layer-wise Top-k Gradient Sparsification for Distributed Deep Learning 会议论文中国广州, 2023年2月24-26日作者: Guangyao Li 收藏 \| 浏览/下载：4/0 \| 提交时间：2023/06/28
	Accelerating temporal action proposal generation via high performance computing 期刊论文 Frontiers of Computer Science, 2022, 卷号: 16, 期号: 4, 页码: 10 作者: T. Wang; S. Y. Lei; Y. Y. Jiang; C. Chang; H. Snoussi 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/06/13
	Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 1702-1712 作者: Cheng, Daning; Li, Shigang; Zhang, Hanping; Xia, Fen; Zhang, Yunquan 收藏 \| 浏览/下载：27/0 \| 提交时间：2021/12/01 Training Scalability Machine learning Machine learning algorithms Stochastic processes Task analysis Upper bound Parallel training algorithms training dataset scalability stochastic optimization methods
	WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system 期刊论文 JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2020, 卷号: 145, 页码: 202-216 作者: Cheng Daning; Li Shigang; Zhang Yunquan 收藏 \| 浏览/下载：35/0 \| 提交时间：2020/12/10 SGD Unbalanced workload SimuParallel SGD Distributed system
	Distributed machine learning load balancing strategy in cloud computing services 期刊论文 WIRELESS NETWORKS, 2020, 卷号: 26, 期号: 8, 页码: 5517-5533 作者: Li, Mingwei; Zhang, Jilin; Wan, Jian; Ren, Yongjian; Zhou, Li 收藏 \| 浏览/下载：40/0 \| 提交时间：2020/12/10 Mobile service computing Cloud service Distributed machine learning Load balancing Adaptive fast reassignment
	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

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