Solving Extreme-Scale Problems on Sunway Supercomputers

Defined as the fastest computers in the world by the name, supercomputers have been important tools for making scientific discoveries and technology breakthroughs. In this talk, we will introduce a series of Sunway Supercomputers, which demonstrate a superb example of integrating tens of millions of cores into a high-resolution numerical simulator or a large-scale machine learning engine, and bringing opportunities for widening our knowledge boundaries in various domains. Application examples include ultra-high-resolution climate modeling and earthquake simulation, close-to-real-time quantum circuit simulation, and weakly-supervised learning to achieve nation-scale land cover mapping. Through these examples, we discuss the key issues and potential of combining supercomputing and AI technologies for solving the major challenges that we face.


Bio: Haohuan Fu is a professor in the Department of Earth System Science, Tsinghua University, and the deputy director of the National Supercomputing Center in Wuxi. Fu has his BE (2003) in CS from Tsinghua University, MPhil (2005) in CS from City University of Hong Kong, and PhD(2009) in computing from Imperial College London. His research work focuses on supercomputing architecture and software, leading to three ACM Gordon Bell Prizes (nonhydrostatic atmospheric dynamic solver in 2016, nonlinear earthquake simulation in 2017, and random quantum circuit simulation in 2021).