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CGA: Accelerating BFS Through an Sparsity-Aware Adaptive Framework on Heterogeneous Platforms 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2026, 卷号: 37, 期号: 1, 页码: 45-59
作者:  Xu, Lei;  Jia, Haipeng;  Zhang, Yunquan
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Graphics processing units  Kernel  Vectors  Sparse matrices  Optimization  Machine learning algorithms  Throughput  Adaptation models  Multicore processing  Data transfer  Sparse matrix-sparse vector multiplication (SpMSpV)  sparse matrix-dense vector multiplication (SpMV)  multi-core CPU  GPU  adaptive performance optimization  machine learning  
Bridging the Gap between Transformer-Based Neural Networks and Tensor Networks for Quantum Chemistry 期刊论文
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2025, 页码: 14
作者:  Kan, Bowen;  Tian, Yingqi;  Wu, Yangjun;  Zhang, Yunquan;  Shang, Honghui
收藏  |  浏览/下载：34/0  |  提交时间：2025/06/25
IrGEMM: An Input-Aware Tuning Framework for Irregular GEMM on ARM and X86 CPUs 期刊论文
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;  Cao, Wenxuan
收藏  |  浏览/下载：54/0  |  提交时间：2024/12/06
Kernel  Libraries  Computer architecture  Tuning  Layout  Optimization  Codes  Batch GEMM  code generation  compact GEMM  dynamic programming  TSMM  
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：66/0  |  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：75/0  |  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：103/0  |  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：62/0  |  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：91/0  |  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：90/0  |  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：107/0  |  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