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PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Solving Extreme-Scale Problems on Sunway Supercomputers
DTSTART:20230613T101500
DTEND:20230613T111500
DTSTAMP:20260406T175102Z
UID:cc92c0cbb745ba4b3475e336bd7ba724023e916d7f2728e1926f3d74
CATEGORIES:Conferences - Seminars
DESCRIPTION:Haohuan Fu - Tsinghua University\nDefined as the fastest compu
 ters in the world by the name\, supercomputers have been important tools f
 or making scientific discoveries and technology breakthroughs. In this tal
 k\, we will introduce a series of Sunway Supercomputers\, which demonstrat
 e a superb example of integrating tens of millions of cores into a high-re
 solution numerical simulator or a large-scale machine learning engine\, an
 d bringing opportunities for widening our knowledge boundaries in various 
 domains. Application examples include ultra-high-resolution climate modeli
 ng and earthquake simulation\, close-to-real-time quantum circuit simulati
 on\, and weakly-supervised learning to achieve nation-scale land cover map
 ping. Through these examples\, we discuss the key issues and potential of 
 combining supercomputing and AI technologies for solving the major challen
 ges that we face.\n\n\nBio: Haohuan Fu is a professor in the Department of
  Earth System Science\, Tsinghua University\, and the deputy director of t
 he National Supercomputing Center in Wuxi. Fu has his BE (2003) in CS from
  Tsinghua University\, MPhil (2005) in CS from City University of Hong Kon
 g\, and PhD(2009) in computing from Imperial College London. His research 
 work focuses on supercomputing architecture and software\, leading to thre
 e ACM Gordon Bell Prizes (nonhydrostatic atmospheric dynamic solver in 201
 6\, nonlinear earthquake simulation in 2017\, and random quantum circuit s
 imulation in 2021).\n 
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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