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浏览/检索结果: 共72条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 IrGEMM: An Input-Aware Tuning Framework for Irregular GEMM on ARM and X86 CPUs 期刊论文  OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 9, 页码: 1672-1689 作者:  Wei, Cunyang;  Jia, Haipeng;  Zhang, Yunquan;  Yao, Jianyu;  Li, Chendi   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/12/06 Kernel  Libraries  Computer architecture  Tuning  Layout  Optimization  Codes  Batch GEMM  code generation  compact GEMM  dynamic programming  TSMM   A global dataset of terrestrial evapotranspiration and soil moisture dynamics from 1982 to 2020 期刊论文  OAI收割 SCIENTIFIC DATA, 2024, 卷号: 11, 期号: 1, 页码: 16 作者:  Zhang, Kun;  Chen, Huiling;  Ma, Ning;  Shang, Shasha;  Wang, Yunquan   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/07/24 Redesigning OpenKMC for Multi-Component Trillion-Atom Simulations on the New Sunway Supercomputer 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：27/0  |  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  OAI收割 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   |  收藏  |  浏览/下载：19/0  |  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  OAI收割 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：37/0  |  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  OAI收割 COMPUTER JOURNAL, 2022, 页码: 15 作者:  Zeng, Yan;  Mu, Yuankai;  Yuan, Junfeng;  Teng, Siyuan;  Zhang, Jilin   |  收藏  |  浏览/下载：20/0  |  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  OAI收割 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   |  收藏  |  浏览/下载：49/0  |  提交时间：2022/06/21 Optimization  Bandwidth  Supercomputers  Electric potential  Boundary conditions  Electrostatics  Silicon  Poisson solver  architecture-specific optimizations  many-core processor   Daytime and nighttime warming has no opposite effects on vegetation phenology and productivity in the northern hemisphere 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 822, 页码: 12 作者:  Zhu, Gaofeng;  Wang, Xufeng;  Xiao, Jingfeng;  Zhang, Kun;  Wang, Yunquan   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/09/21 Multicollinearity  Spring phenology  Autumn phenology  Asymmetric warming  Vegetation activity  Gross primary production   Many-core acceleration of the first-principles all-electron quantum perturbation calculations 期刊论文  OAI收割 COMPUTER PHYSICS COMMUNICATIONS, 2021, 卷号: 267, 页码: 8 作者:  Shang, Honghui;  Duan, Xiaohui;  Li, Fang;  Zhang, Libo;  Xu, Zhiqian   |  收藏  |  浏览/下载：48/0  |  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  OAI收割 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：46/0  |  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