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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: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  
The static parallel distribution algorithms for hybrid density-functional calculations in HONPAS package 期刊论文
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2020, 卷号: 34, 期号: 2, 页码: 159-168
作者:  Qin, Xinming;  Shang, Honghui;  Xu, Lei;  Hu, Wei;  Yang, Jinlong;  Li, Shigang;  Zhang, Yunquan
收藏  |  浏览/下载:45/0  |  提交时间:2020/12/10
Distributed algorithms  hybrid density-functional calculations  HONPAS package  electron repulsion integrals  parallel implementation  
Cache-Oblivious MPI All-to-All Communications Based on Morton Order 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2018, 卷号: 29, 期号: 3, 页码: 542-555
作者:  Li, Shigang;  Zhang, Yunquan;  Hoefler, Torsten
收藏  |  浏览/下载:50/0  |  提交时间:2019/12/10
cache-oblivious algorithms  collective communication  NUMA  MPI_Alltoall  MPI_Allgather  neighborhood collectives  
A Cross-Platform SpMV Framework on Many-Core Architectures 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2016, 卷号: 13, 期号: 4, 页码: 25
作者:  Zhang, Yunquan;  Li, Shigang;  Yan, Shengen;  Zhou, Huiyang
收藏  |  浏览/下载:38/0  |  提交时间:2019/12/12
SpMV  segmented scan  BCCOO  OpenCL  CUDA  GPU  Intel MIC  parallel algorithms