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DTSTART;TZID=America/Denver:20231113T133500
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UID:submissions.supercomputing.org_SC23_sess454_misc195@linklings.com
SUMMARY:EduHPC23 – Invited Talk by Kathy Yelick: Educating Post Exascale H
 PC Leaders
DESCRIPTION:Kathy Yelick (University of California at Berkeley, Lawrence B
 erkeley National Laboratory (LBNL))\n\nThe first generation of exascale co
 mputing systems is coming online along with new application capabilities a
 nd system software.  At the same time, demands for high performance comput
 ing continue to grow for more powerful simulations, adoption of machine le
 arning methods, and huge data analysis problems arising from new instrumen
 ts and increasingly ubiquitous devices.  In its broadest sense, computatio
 nal science research is expanding beyond physical and life sciences into s
 ocial sciences, public policy, and even the humanities.\n\nConcurrent with
  these trends, chip technology is facing scaling limits, making it increas
 ingly difficult to meet these new demands.  Disruptions in the computing m
 arketplace, which include supply chain limitations, a shrinking set of sys
 tem integrators, and the growing influence of cloud providers are changing
  underlying assumptions about how to acquire and deploy future supercomput
 ers.  At the same time, there are discussions around the role of AI/ML and
  quantum computing. \n\nHow do we educate students for a post-exascale wor
 ld?  A finite set of computational motifs represent much of the parallel c
 omputing workload in modeling and simulation.  Should the HPC community fo
 cus on those or should they be expanded to include data analytics and mach
 ine learning approaches?  Finally, what are the workforce needs for the fu
 ture of high end computing?\n\nTag: Education, Heterogeneous Computing, Re
 producibility, State of the Practice, Sustainability\n\nRegistration Categ
 ory: Workshop Reg Pass\n\nSession Chairs: David P. Bunde (Knox College); S
 ushil K. Prasad (University of Texas at San Antonio); Satish Puri (Missour
 i University of Science and Technology); Apan Qasem (Texas State Universit
 y); and George K. Thiruvathukal (Loyola University, Chicago; Argonne Natio
 nal Laboratory (ANL))\n\n
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