中国科学院计算技术研究所机构知识库

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发表日期：2021

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	Many-core acceleration of the first-principles all-electron quantum perturbation calculations 期刊论文 COMPUTER PHYSICS COMMUNICATIONS, 2021, 卷号: 267, 页码: 8 作者:  Shang, Honghui;  Duan, Xiaohui;  Li, Fang;  Zhang, Libo;  Xu, Zhiqian;  Liu, Kan;  Luo, Haiwen;  Ji, Yingrui;  Zhao, Wenxuan;  Xue, Wei;  Chen, Li;  Zhang, Yunquan 收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01 Density-functional perturbation theory  Many-core architecture  Linear scaling  MPI  Numeric atomic orbitals
	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
	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