Rongfen Lin

According to our database, Rongfen Lin authored at least 12 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

TensorMD: Scalable Tensor-Diagram based Machine Learning Interatomic Potential on Heterogeneous Many-Core Processors.

Xin Chen, Yucheng Ouyang, Xin Chen, Zhenchuan Chen, Rongfen Lin, Xingyu Gao, Lifang Wang, Fang Li, Yin Liu, Honghui Shang, Haifeng Song

CoRR, 2023

5 ExaFlop/s HPL-MxP Benchmark with Linear Scalability on the 40-Million-Core Sunway Supercomputer.

Rongfen Lin, Xinhui Yuan, Wei Xue, Wanwang Yin, Jienan Yao, Junda Shi, Qiang Sun, Chaobo Song, Fei Wang

Proceedings of the International Conference for High Performance Computing, 2023

Rapid simulations of atmospheric data assimilation of hourly-scale phenomena with modern neural networks.

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

Proceedings of the International Conference for High Performance Computing, 2023

2022

Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer.

Mingfan Li, Junshi Chen, Qian Xiao, Fei Wang, Qingcai Jiang, Xuncheng Zhao, Rongfen Lin, Hong An, Xiao Liang, Lixin He

IEEE Trans. Parallel Distributed Syst., 2022

Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer.

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

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

swFLOW: A large-scale distributed framework for deep learning on Sunway TaihuLight supercomputer.

Mingfan Li, Han Lin, Junshi Chen, Jose Monsalve Diaz, Qian Xiao, Rongfen Lin, Fei Wang, Guang R. Gao, Hong An

Inf. Sci., 2021

Extreme-scale <i>ab initio</i> quantum raman spectra simulations on the leadership HPC system in China.

Honghui Shang, Fang Li, Yunquan Zhang, Libo Zhang, You Fu, Yingxiang Gao, Yangjun Wu, Xiaohui Duan, Rongfen Lin, Xin Liu, Ying Liu, Dexun Chen

Proceedings of the International Conference for High Performance Computing, 2021

TensorKMC: kinetic Monte Carlo simulation of 50 trillion atoms driven by deep learning on a new generation of Sunway supercomputer.

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

Proceedings of the International Conference for High Performance Computing, 2021

2020

Distributed deep learning system for cancerous region detection on Sunway TaihuLight.

Guofeng Lv, Mingfan Li, Hong An, Han Lin, Junshi Chen, Wenting Han, Qian Xiao, Fei Wang, Rongfen Lin

CCF Trans. High Perform. Comput., 2020

Compiler Optimizing for Power Efficiency of On-Chip Memory.

Wei Wu, Qi Zhu, Fei Wang, Rongfen Lin, Fengbin Qi

Proceedings of the Advanced Computer Architecture - 13th Conference, 2020

2017

Towards Highly Efficient DGEMM on the Emerging SW26010 Many-Core Processor.

Lijuan Jiang, Chao Yang, Yulong Ao, Wanwang Yin, Wenjing Ma, Qiao Sun, Fangfang Liu, Rongfen Lin, Peng Zhang

Proceedings of the 46th International Conference on Parallel Processing, 2017

2009

Solving Nonsmooth Interval Equations with Slopes.

Rongfen Lin, Hao Jiang, Lizhi Cheng

Proceedings of the 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2009