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Rongfen Lin
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2020 – today
- 2023
- [c8]Rongfen Lin, Xinhui Yuan, Wei Xue, Wanwang Yin, Jienan Yao, Junda Shi, Qiang Sun, Chaobo Song, Fei Wang:
5 ExaFlop/s HPL-MxP Benchmark with Linear Scalability on the 40-Million-Core Sunway Supercomputer. SC 2023: 54:1-54:13 - [c7]Yiyuan Li, Xiting Ju, Yi Xiao, Qilong Jia, Yongxiao Zhou, Simeng Qian, Rongfen Lin, Bin Yang, Shupeng Shi, Xin Liu, Jie Gao, Zhen Wang, Sha Liu, Jian Tan, Xuan Wang, Zhengding Hu, Limin Yan, Wei Xue:
Rapid simulations of atmospheric data assimilation of hourly-scale phenomena with modern neural networks. SC 2023: 79:1-79:13 - [i1]Xin Chen, Yucheng Ouyang, Xin Chen, Zhenchuan Chen, Rongfen Lin, Xingyu Gao, Lifang Wang, Fang Li, Yin Liu, Honghui Shang, Haifeng Song:
TensorMD: Scalable Tensor-Diagram based Machine Learning Interatomic Potential on Heterogeneous Many-Core Processors. CoRR abs/2310.08439 (2023) - 2022
- [j3]Mingfan Li, Junshi Chen, Qian Xiao, Fei Wang, Qingcai Jiang, Xuncheng Zhao, Rongfen Lin, Hong An, Xiao Liang, Lixin He:
Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer. IEEE Trans. Parallel Distributed Syst. 33(11): 2846-2859 (2022) - [c6]Honghui Shang, Li Shen, Yi Fan, Zhiqian Xu, Chu Guo, Jie Liu, Wenhao Zhou, Huan Ma, Rongfen Lin, Yuling Yang, Fang Li, Zhuoya Wang, Yunquan Zhang, Zhenyu Li:
Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer. SC 2022: 14:1-14:14 - 2021
- [j2]Mingfan Li, Han Lin, Junshi Chen, Jose Monsalve Diaz, Qian Xiao, Rongfen Lin, Fei Wang, Guang R. Gao, Hong An:
swFLOW: A large-scale distributed framework for deep learning on Sunway TaihuLight supercomputer. Inf. Sci. 570: 831-847 (2021) - [c5]Honghui Shang, Fang Li, Yunquan Zhang, Libo Zhang, You Fu, Yingxiang Gao, Yangjun Wu, Xiaohui Duan, Rongfen Lin, Xin Liu, Ying Liu, Dexun Chen:
Extreme-scale ab initio quantum raman spectra simulations on the leadership HPC system in China. SC 2021: 6 - [c4]Honghui Shang, Xin Chen, Xingyu Gao, Rongfen Lin, Lifang Wang, Fang Li, Qian Xiao, Lei Xu, Qiang Sun, Leilei Zhu, Fei Wang, Yunquan Zhang, Haifeng Song:
TensorKMC: kinetic Monte Carlo simulation of 50 trillion atoms driven by deep learning on a new generation of Sunway supercomputer. SC 2021: 73 - 2020
- [j1]Guofeng Lv, Mingfan Li, Hong An, Han Lin, Junshi Chen, Wenting Han, Qian Xiao, Fei Wang, Rongfen Lin:
Distributed deep learning system for cancerous region detection on Sunway TaihuLight. CCF Trans. High Perform. Comput. 2(4): 348-361 (2020) - [c3]Wei Wu, Qi Zhu, Fei Wang, Rongfen Lin, Fengbin Qi:
Compiler Optimizing for Power Efficiency of On-Chip Memory. ACA 2020: 290-303
2010 – 2019
- 2017
- [c2]Lijuan Jiang, Chao Yang, Yulong Ao, Wanwang Yin, Wenjing Ma, Qiao Sun, Fangfang Liu, Rongfen Lin, Peng Zhang:
Towards Highly Efficient DGEMM on the Emerging SW26010 Many-Core Processor. ICPP 2017: 422-431
2000 – 2009
- 2009
- [c1]Rongfen Lin, Hao Jiang, Lizhi Cheng:
Solving Nonsmooth Interval Equations with Slopes. SYNASC 2009: 142-149
Coauthor Index
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