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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:40/0  |  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  
Hybrid-optimization strategy for the communication of large-scale Kinetic Monte Carlo simulation 期刊论文
COMPUTER PHYSICS COMMUNICATIONS, 2017, 卷号: 211, 页码: 113-123
作者:  Wu, Baodong;  Li, Shigang;  Zhang, Yunquan;  Nie, Ningming
收藏  |  浏览/下载:48/0  |  提交时间:2019/12/12
Kinetic Monte Carlo  Communication aggregation  Shared memory  Neighborhood collectives  
Automatic tuning of sparse matrix-vector multiplication on multicore clusters 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2015, 卷号: 58, 期号: 9, 页码: 14
作者:  Li ShiGang;  Hu ChangJun;  Zhang JunChao;  Zhang YunQuan
收藏  |  浏览/下载:53/0  |  提交时间:2019/12/13
SpMV  PGAS  hybridization  model-driven  multicore clusters