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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:15/0  |  提交时间:2023/07/12
Atmospheric general circulation model  3-D decomposition  leap-format finite-difference  heterogeneous acceleration  
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:35/0  |  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