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Hello! This is the homepage of the High Performance Geo-Computing (HPGC) research group in Tsinghua University. Here, we accumulate all kinds of information that may interest you, and the members of the group, :).
The name describes the major focus of the group, which is to motivate the interaction between HPC and geoscience. The goal is to bridge the gap between the grand challenges in earth science, and the emerging computing methods and hardware platforms. Now, we are also focusing on the collaborative application of HPC and AI.
In one way, better supercomputing technologies would lead to better solutions or even scientific breakthroughs; and in the other way, science improvements would also guide the development of future supercomputing technologies. Moreover, the interaction between these two, I believe, would lead to successful synergy of methods, data sets, perspectives, and ideas.
We currently have 1 professor, 1 postdoc, 5 PhD students and 1 undergraduate student.
, non-linear earthquake simulation (2017, 10 million cores with a sustained performance of 18.9 Pflops)[2017 ACM Gordon Bell Prize], and atmospheric dynamic solver (2016, 10 million cores with a sustained performance of 7.95 Pflops)[2016 ACM Gordon Bell Prize] won the Gordon Bell Prizes of those years.
HPC+AI for Geophysics
HPC solutions for geophysics exploration used to be the main research focus of the group in the early days. We have collaborated with a number of oil and gas companies (Statoil and Saudi Aramco) and service companies (BGP and Schlumberger) to explore the potential of heterogeneous computing architectures in migration and imaging applications.
The recent trend jumps to AI-based methods to process seismic data, such as analysis of seismic ambient noise, separation of P- and S-wave, and PSF resolution enhancement. See more in [Geophysics]