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LOCATION:240-241-242
DTSTART;TZID=America/Chicago:20251118T103000
DTEND;TZID=America/Chicago:20251118T120000
UID:submissions.supercomputing.org_SC25_sess345_pan103@linklings.com
SUMMARY:Let’s Not Bicker About Who Trains Whom: HPC and AI in the Golden A
 ge of Self-Taught Machines
DESCRIPTION:Pete Beckman (Northwestern University); Jack Dongarra (Univers
 ity of Tennessee, Knoxville); Rosa Badia (Barcelona Supercomputing Center 
 (BSC)); Anshu Dubey (Argonne National Laboratory (ANL)); Satoshi Matsuoka 
 (RIKEN Center for Computational Science (R-CCS)); Jean-Yves Berthou (Inria
 ); and Giri Chukkapalli (NVIDIA Corporation)\n\nHPC and AI are now partner
 s—but come from different cultures and traditions. Where can they align? H
 ow will scientists, algorithms, and AI models be trained? The Internationa
 l Post-Exascale Project (inpex.science) brings together experts from Europ
 e, the United States, and Japan to tackle challenges in HPC beyond the exa
 scale era. At a recent global workshop, participants explored AI-HPC conve
 rgence, software sustainability, digital continuum strategies, generative 
 AI, and how scientists will be trained in AI—and by AI. In a world of AI c
 oders, massive science-tuned LLMs, and vast stores of untapped data, how c
 an our global community collaborate to move both HPC and AI forward? Join 
 our panelists as they debate opposing viewpoints on the future of these tw
 o fields. Will GenAI turn today’s HPC developers into the COBOL coders of 
 tomorrow—or will HPC scientists harness AI to accelerate discovery?\n\nTag
 : AI, Machine Learning, & Deep Learning, Applications & Application Framew
 orks, Parallel Programming Methods, Models, Languages, & Environments\n\nR
 ecording: Livestreamed, Recorded\n\nRegistration Category: Technical Progr
 am Reg Pass\n\nSession Chairs: Pete Beckman (Northwestern University) and 
 Jack Dongarra (University of Tennessee, Knoxville; Oak Ridge National Labo
 ratory (ORNL))\n\n
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