中国科学院计算技术研究所机构知识库

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	AGCM-3DLF: Accelerating Atmospheric General Circulation Model via 3-D Parallelization and Leap-Format 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 3, 页码: 766-780 作者:  Cao, Hang;  Yuan, Liang;  Zhang, He;  Zhang, Yunquan;  Wu, Baodong;  Li, Kun;  Li, Shigang;  Zhang, Minghua;  Lu, Pengqi;  Xiao, Junmin 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 Atmospheric general circulation model  3-D decomposition  leap-format finite-difference  heterogeneous acceleration
	An Accurate and Efficient Large-Scale Regression Method Through Best Friend Clustering 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 11, 页码: 3129-3140 作者:  Li, Kun;  Yuan, Liang;  Zhang, Yunquan;  Chen, Gongwei 收藏  |  浏览/下载：27/0  |  提交时间：2022/12/07 Clustering algorithms  Training  Mathematical models  Computational modeling  Libraries  Kernel  Support vector machines  Distributed machine learning  scalable algorithm  large-scale clustering  parallel regression
	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：33/0  |  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：47/0  |  提交时间：2020/12/10 SGD  Unbalanced workload  SimuParallel SGD  Distributed system