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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  
Automatic Generation of High-Performance FFT Kernels on Arm and X86 CPUs 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 1925-1941
作者:  Li, Zhihao;  Jia, Haipeng;  Zhang, Yunquan;  Chen, Tun;  Yuan, Liang;  Vuduc, Richard
收藏  |  浏览/下载:56/0  |  提交时间:2020/12/10
AutoFFT  FFT  code generation  template  DFT  
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