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边

边浩东 (Haodong Bian)

tsinghua university

8H指数
24论文数
317被引数
收录论文 6
发表时间
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PANA: A Fine-Grained Runtime-Adaptive Load Balancing for Parallel SpMV on Multicore CPUsPANA：面向多核CPU上并行稀疏矩阵向量乘的细粒度运行时自适应负载均衡
errPROCEEDINGS OF THE 31ST ACM SIGPLAN ANNUAL SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING, PPOPP 2026
IF0
err2026-01-01
err0
PREAI
errBian, Haodong; Zhang, Youhui; Fei, Xiang; Huang, Jianqiang; Wang, Xiaoying
err分享
err收藏
A review of lithium-ion battery state of charge estimation based on deep learning: Directions for improvement and future trends基于深度学习的锂离子电池荷电状态估计研究综述: 改进方向与未来趋势
errJOURNAL OF ENERGY STORAGE
IF9.8
err2022-08-01
err79
PREAI
errLiu, Yuefeng; He, Yingjie; Bian, Haodong; Guo, Wei; Zhang, Xiaoyan
err分享
err收藏
A simple and efficient storage format for SIMD-accelerated SpMV
errCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
IF4.1
err2021-06-20
err7
PREAI
errBian, Haodong; Huang, Jianqiang; Dong, Runting; Guo, Yuluo; Liu, Lingbin; Huang, Dongqiang; Wang, Xiaoying
err分享
err收藏
Helmholtz Solving and Performance Optimization in Global/Regional Assimilation and Prediction System
errTSINGHUA SCIENCE AND TECHNOLOGY
IF3.5
err2021-06-01
err3
errOAAI
errHuang, Jianqiang; Xue, Wei; Bian, Haodong; Yan, Wenxin; Wang, Xiaoying; Chen, Wenguang
err分享
err收藏
ALBUS: A method for efficiently processing SpMV using SIMD and Load balancing
errFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
IF6.1
err2021-03-01
err20
PREAI
errBian, Haodong; Huang, Jianqiang; Liu, Lingbin; Huang, Dongqiang; Wang, Xiaoying
err分享
err收藏
Using Cluster Analysis and Least Square Support Vector Machine to Predicting Power Demand for the Next-Day
errIEEE ACCESS
IF3.6
err2019-01-01
err11
errOAAI
errHuang, Jianqiang; Liang, Ye; Bian, Haodong; Wang, Xiaoying
err分享
err收藏

研究方向

数值算法并行优化（包括但不限于稀疏矩阵计算、线性解法器求解）非数值算法并行优化（以图算法为主，包括但不限于图算法）
合作学者
合作期刊
刘月峰 封面图
刘月峰 (Yuefeng Liu)
H 指数: 56 · 论文数: 291
陈文广 封面图
陈文广 (Wenguang Chen)
H 指数: 38 · 论文数: 304
张晓燕 封面图
张晓燕 (Xiaoyan Zhang)
H 指数: 38 · 论文数: 236
X
Xiaoying Wang
H 指数: 30 · 论文数: 302
L
Lingbin Liu
H 指数: 17 · 论文数: 49
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