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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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浏览/检索结果:
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Redesigning OpenKMC for Multi-Component Trillion-Atom Simulations on the New Sunway Supercomputer
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 7, 页码: 1997-2010
作者:
Xu, Lei
;
Shang, Honghui
;
Chen, Xin
;
Zhang, Yunquan
;
Wang, Lifang
;
Gao, Xingyu
;
Song, Haifeng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/04
Metals
Computational modeling
Monte Carlo methods
Kinetic theory
Aging
Steel
Silicon
Atomic kinetic Monte Carlo
many-core processor
scalability
AGCM-3DLF: Accelerating Atmospheric General Circulation Model via 3-D Parallelization and Leap-Format
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 3, 页码: 766-780
作者:
Cao, Hang
;
Yuan, Liang
;
Zhang, He
;
Zhang, Yunquan
;
Wu, Baodong
;
Li, Kun
;
Li, Shigang
;
Zhang, Minghua
;
Lu, Pengqi
;
Xiao, Junmin
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/07/12
Atmospheric general circulation model
3-D decomposition
leap-format finite-difference
heterogeneous acceleration
An Accurate and Efficient Large-Scale Regression Method Through Best Friend Clustering
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 11, 页码: 3129-3140
作者:
Li, Kun
;
Yuan, Liang
;
Zhang, Yunquan
;
Chen, Gongwei
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/12/07
Clustering algorithms
Training
Mathematical models
Computational modeling
Libraries
Kernel
Support vector machines
Distributed machine learning
scalable algorithm
large-scale clustering
parallel regression
Adaptive Federated Learning With Non-IID Data
期刊论文
COMPUTER JOURNAL, 2022, 页码: 15
作者:
Zeng, Yan
;
Mu, Yuankai
;
Yuan, Junfeng
;
Teng, Siyuan
;
Zhang, Jilin
;
Wan, Jian
;
Ren, Yongjian
;
Zhang, Yunquan
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/07/12
Federated Learning
Model Aggregation
Non-IID
Scaling Poisson Solvers on Many Cores via MMEwald
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 8, 页码: 1888-1901
作者:
Wu, Mingchuan
;
Wu, Yangjun
;
Shang, Honghui
;
Liu, Ying
;
Cui, Huimin
;
Li, Fang
;
Duan, Xiaohui
;
Zhang, Yunquan
;
Feng, Xiaobing
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2022/06/21
Optimization
Bandwidth
Supercomputers
Electric potential
Boundary conditions
Electrostatics
Silicon
Poisson solver
architecture-specific optimizations
many-core processor
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:38/0
  |  
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:37/0
  |  
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:37/0
  |  
提交时间:2021/12/01
Density-functional perturbation theory
Linear scaling
MPI
Numeric atomic orbitals
Density-function theory
WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system
期刊论文
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2020, 卷号: 145, 页码: 202-216
作者:
Cheng Daning
;
Li Shigang
;
Zhang Yunquan
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2020/12/10
SGD
Unbalanced workload
SimuParallel SGD
Distributed system
Accelerated LiDAR data processing algorithm for self-driving cars on the heterogeneous computing platform
期刊论文
IET COMPUTERS AND DIGITAL TECHNIQUES, 2020, 卷号: 14, 期号: 5, 页码: 201-209
作者:
Li, Wei
;
Liang, Jun
;
Zhang, Yunquan
;
Jia, Haipeng
;
Xiao, Lin
;
Li, Qing
收藏
  |  
浏览/下载:118/0
  |  
提交时间:2020/12/10
feature extraction
optical radar
optimisation
optical information processing
traffic engineering computing
mobile robots
automobiles
accelerated LiDAR data processing algorithm
self-driving cars
heterogeneous computing platform
optimisation
NVIDIA Tegra X2 computing platform
feature extraction
obstacle clustering