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DTSTART;TZID=America/Denver:20231115T171500
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UID:submissions.supercomputing.org_SC23_sess402_bof217@linklings.com
SUMMARY:Two Worlds Collide:  Forging Sustainable Coupled HPC Simulation/De
 ep Learning Applications from Hardware to Algorithm
DESCRIPTION:Ada Sedova (Oak Ridge National Laboratory (ORNL)), Venkatram V
 ishwanath (Argonne National Laboratory (ANL)), Wesley Brewer (Oak Ridge Na
 tional Laboratory (ORNL)), Duncan Riach (NVIDIA Corporation), J. Austin El
 lis (Advanced Micro Devices (AMD) Inc), Andrew Shao (Hewlett Packard Enter
 prise (HPE)), Riccardo Balin (Argonne National Laboratory (ANL)), Steve Po
 ole and NIck Hengartner (Los Alamos National Laboratory (LANL)), Daniel O'
 Malley (Leibniz Supercomputing Centre (LANL)), and Oscar Hernandez (Oak Ri
 dge National Laboratory (ORNL))\n\nThis Birds of a Feather session, “Two W
 orlds Collide: Forging Sustainable Coupled HPC Simulation/Deep Learning Ap
 plications from Hardware to Algorithm,” continues a series started in 2021
  with a theme of discussing and brainstorming solutions for a new paradigm
  in HPC: the coupling of simulation with machine learning for state-of-the
 -art research. In this installment, we focus on sustainability and assuran
 ce for coupled simulation and deep learning. We discuss the current state 
 and needs for enabling integration of HPC simulation with modern deep lear
 ning stacks to provide transformative scientific discoveries while deliver
 ing productivity, portability, and correctness for safety and mission crit
 ical applications.\n\nTag: Artificial Intelligence/Machine Learning\n\nReg
 istration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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