Haohuan Fu

Haohuan Fu, Professor of Tsinghua University, focused on cross-integration research of High Performance Computing, AI and Earth system science, and has made significant contributions in scaling over tens of millions of heterogeneous cores for a series of key applications (e.g. climate model, earthquake simulation, etc.). Professor Fu has published more than 200 journal and conference papers, and have led multiple key research and development programs.

Professor Fu won three ACM Gordon Bell Prizes, the highest award in the field of high performance computing (fully-implicit atmospheric dynamic solver in 2016, non-linear earthquake simulation in 2017, and large-scale quantum circuit simulation in 2021), also won 2016 Tsinghua-Inspur Computational Earth Science Young Researcher Award, 2017 Chinese Institute of Electronics Award For Science and Technology Advancements (Only 14 worldwide), 2020 China Youth May Fourth Medal, 2022 Tsinghua University: Team of Excellence , 2022 CCF HPC China: The Best HPC Application Nomination, 2023 Wu Wenjun Award for AI Science and Technology Advancements (Second Class), and 2024 CCF HPC China: The Best HPC Application Nomination.

The HPGC research group leaded by Professor Fu focus on cross-integration research of Computer science, Artificial Intelligence and Earth system science, and keep resolving the physical world problems in a digital model, generally enabled by cutting-edge parallel computers. Mainly includes:

Design and realize the high-precision earth system key circle simulation software, which is scalable, convenient, and efficient to 100-peta or even exa-scale supercomputers, with tens of millions of cores.

Explore the automatic data processing methods that can efficiently analyze large spatial and temporal scale observation data.

The fusion development of the above numerical simulation software and big data analysis software.

Our group have undertaken a number of projects such as the key Research and development plan of the Ministry of Science and Technology, the National Natural Science Foundation of China, and have cooperated with Huawei, Microsoft, IBM, Intel, Norway Oil, Aramco, CNPC, Schlumberger and many other enterprises.

We are constantly looking for students and postdocs!

2005 – 2009: PhD, Department of Computing, Imperial College, UK

2003 – 2005: MPhil, Department of CS, City University of Hong Kong

1999 – 2003: B.E., DCST, Tsinghua University

2018 - present, Tsinghua University, Professor

2010 - 2018, Tsinghua University, Associate Professor

2009 – 2010, Department of Geophysics, Stanford University, Postdoc

1.Extreme-Scale Computing on Heterogeneous Supercomputers: one of my research interest is to explore the numerical methods, parallelization schemes, performance tuning techniques, as well as redesigning strategies for mapping some of the most challenging scientific applications, such as atmospheric modeling, and earthquake simulation, onto emerging many-core, and reconfigurable architectures, and to enable depiction of extreme-scale scientific scenarios on leadership peta to exa-scale supercomputers.

2.Data Mining Methods for Analyzing Scientific Data Sets: facing a fast growth in the volume of data from both observations and simulations, we explore parallel data mining methods, enabled by the emerging heterogeneous architectures, to acclerate the process of making new discoveries.

3.Fusion of the above two.

4.Application-specific hardware customization.

[1] Lixian Zhang, Zhehao Ren, Bin Chen, Peng Gong, Bing Xu, Haohuan Fu, “A prolonged artificial nighttime-light dataset of China (1984-2020)”, Scientific Data,pp. 414, 2024.

[2] L Zhang, S Yuan, R Dong, J Zheng, B Gan, D Fang, Y Liu, H Fu, “SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images”, International Journal of Applied Earth Observation and Geoinformation, 2024.

[3] X Duan, Q Shao, J Weng, B Schmidt, L Gan, G Li, H Fu, W Xue, W Liu, et al.“Bio-esmd: A data centric implementation for large-scale biological system simulation on sunway taihulight supercomputer”, IEEE Transactions on Parallel and Distributed Systems 34 (3), 881-893, 2023.

[4] Yong Liu, Xin Liu, Fang Li, Haohuan Fu, Yuling Yang, Jiawei Song, Pengpeng Zhao, Zhen Wang, Dajia Peng, Huarong Chen, Chu Guo, Heliang Huang, Wenzhao Wu, Dexun Chen, “Closing the “quantum supremacy” gap: achieving real-time simulation of a random quantum circuit using a new Sunway supercomputer”, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp, 1-12, 2021 .

[5] Haohuan Fu, Junfeng Liao, Nan Ding, et al., Redesigning CAM-SE for Peta-Scale Climate Modeling Performance and Ultra-High Resolution on Sunway TaihuLight, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), 12 pages, 2017 .

[6] Haohuan Fu, Junfeng Liao, Wei Xue, Lanning Wang, et al., Refactoring and Optimizing the Community Atmosphere Model (CAM) on the Sunway TaihuLight Supercomputer, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC16), pp. 969-980, Salt Lake City, Utah, US, 2016.

2023 Wu Wenjun Artificial Intelligence Science and Technology Award, Second Prize in Science and Technology Progress, Chinese Association for Artificial Intelligence

2022 Science and Technology Award, Science and Technology Progress First Prize, China Electronics Society

2021 ACM Gordon Bell Prize (random quantum circuit simulation, forth author and co-corresponding author)

2021 NSFC Distinguished Young Scientist Fund (Division of Multi-Disciplinary Research)

2020 May 4th Youth Medal of China

2018 May 4th Youth Medal of Jiangsu Province

2017 Top 10 Research Achievements of Tsinghua University

2017 ACM Gordon Bell Prize (non-linear earthquake simulation, lead author)

2016 ACM Gordon Bell Prize (atmospheric dynamic solver, third author and co-corresponding author)

2015 Tsinghua-Inspur Computational Earth Science Young Researcher Award

2015 Best Paper Award (3 out of 278 submissions), IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

2015 Significant Paper in 25 Years, one of the 27 papers selected from the 1,765 publications in the first 25 years of the International Conference on Field Programmable Logic and Application (FPL)

2008 Best Paper Award, International Conference on Field Programmable Technology (FPT)

2007 Best Poster Award, Computer System Research Day, Imperial College London