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Optimizing the LINPACK Algorithm for Large-Scale PCIe-Based CPU-GPU Heterogeneous Systems 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 2367-2380
作者:  Tan, Guangming;  Shui, Chaoyang;  Wang, Yinshan;  Yu, Xianzhi;  Yan, Yujin
收藏  |  浏览/下载:38/0  |  提交时间:2021/12/01
Pipeline processing  Graphics processing units  Computer architecture  Supercomputers  Clustering algorithms  Programming  Optimization  LINPACK algorithm  software pipeline  performance model  heterogeneous computing  cluster  
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  
Improve the Resolution and Parallel Performance of the Three-Dimensional Refine Algorithm in RELION Using CUDA and MPI 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 2, 页码: 583-595
作者:  Zhang, Jingrong;  Wang, Zihao;  Liu, Zhiyong;  Zhang, Fa
收藏  |  浏览/下载:37/0  |  提交时间:2021/12/01
Memory management  Graphics processing units  Arrays  Statistical analysis  Three-dimensional displays  cryoEM  RELION  CUDA  statistical method  Top-k selection  
Efficient parallel linear scaling method to get the response density matrix in all-electron real-space density-functional perturbation theory 期刊论文
COMPUTER PHYSICS COMMUNICATIONS, 2021, 卷号: 258, 页码: 11
作者:  Shang, Honghui;  Liang, WanZhen;  Zhang, Yunquan;  Yang, Jinlong
收藏  |  浏览/下载:34/0  |  提交时间:2021/12/01
Density-functional perturbation theory  Linear scaling  MPI  Numeric atomic orbitals  Density-function theory