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DTSTAMP:20230831T095742Z
LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230627T183000
DTEND;TZID=Europe/Stockholm:20230627T192000
UID:submissions.pasc-conference.org_PASC23_sess119_key102@linklings.com
SUMMARY:IK02 - A View of Post-Exascale Computational Science and the Emerg
 ing Mix of HPC, AI, and Quantum
DESCRIPTION:Keynote, Public Lecture\n\nRick Stevens (Argonne National Labo
 ratory, University of Chicago)\n\nIn this talk, I will outline my vision o
 f the evolution of computational science over the next twenty years. The e
 mergence of new platforms will complement and challenge traditional high-p
 erformance computing (HPC), impacting the types of problems we work on, th
 e platforms that centers design and deploy, and the research that gets fun
 ded. As we launch into the post-exascale epoch, we face a computing landsc
 ape that is quite different from the one that motivated the international 
 push for exascale HPC systems. We see the emergence of powerful AI methods
  from generative language models that will transform research and teaching
  (and exams!), to AI-HPC hybrid (or surrogate) models that promise orders 
 of magnitude performance gains for some problems. Quantum computers and al
 gorithms also show potential to greatly impact computational science. I wi
 ll discuss how these capabilities could change the landscape of problems r
 esearchers pursue, and when and how the scientific computing community may
  evolve as it absorbs new approaches, sorting through what is real and wor
 ks, and what is not ready for scientific application. Future platforms mus
 t be designed for the problems that the community wants to solve in the ne
 ar term, while also leading us to new approaches that offer sustained impa
 ct across many disciplines.\n\nSession Chair: Michael A. Heroux (Sandia Na
 tional Laboratories, St. John's University)
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