Main Page
Welcome Message
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.
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, 2 postdocs, and 9 PhD students. We are constantly looking for new talents to join the group as students or postdocs.
Recent Research Highlights
AI for Remote Sensing
Exploring the AI-based methods to analyze and understand the remote sensing images has been one of our group's major focus.
Our efforts include: (1) transferring existing land cover maps to a higher resolution (e.g.: 10m to 3m) through learning with noisy labels, thus minimizing the manual efforts involved; (2) generalized deep learning networks to detect specific objects (e.g.: buildings, roads, trees, etc.) in remote sensing images; (3) super-resolution and fusion methods to integrate historical remote sensing data sets with different spatial resolutions and spectrums.
Extreme-Scale Simulation on Supercomputers
这里写高性能方面的总体介绍，包括21年GB奖， 17年GB以及16年GB的介绍
HPC+AI for Geophysics
According to scientists, the Sun is pretty big.[1] In fact, it is very big.[footnotes 1]
Notes
- ↑ Take their word for it. Don't look directly at the sun!
References
- ↑ E. Miller, The Sun, (New York: Academic Press, 2005), 23–25.