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UID:submissions.supercomputing.org_SC24_sess624_bof123@linklings.com
SUMMARY:Artificial Intelligence and Machine Learning for HPC Workload Anal
 ysis
DESCRIPTION:Kadidia Konaté (Lawrence Berkeley National Laboratory (LBNL), 
 Advanced Light Source); Richard Gerber (Lawrence Berkeley National Laborat
 ory (LBNL)); Sergio Iserte (Barcelona Supercomputing Center (BSC)); and Dm
 itry Duplyakin (National Renewable Energy Laboratory (NREL))\n\nWe propose
  the first BoF on Artificial Intelligence and Machine Learning for HPC Wor
 kload Analysis to provide a much-needed opportunity not only for cutting-e
 dge research ideas to be shared, but also to bring together researchers ac
 ross the disciplines of data science, machine learning, statistics, applie
 d mathematics, systems design, systems monitoring, systems resilience, and
  hardware architecture to address a shared goal of better and more efficie
 nt monitoring and understanding of the usage of large-scale computing mach
 ines and facilities through artificial intelligence and machine learning.\
 n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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