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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20250626T234542Z
LOCATION:B309
DTSTART;TZID=America/New_York:20241117T120500
DTEND;TZID=America/New_York:20241117T121000
UID:submissions.supercomputing.org_SC24_sess736_ws_pdswwip112@linklings.co
 m
SUMMARY:Reducing I/O Bottleneck for Pretraining AI Foundation Models for C
 limate
DESCRIPTION:Gabriele Padovani (University of Trento, Italy); Awais Khan (O
 ak Ridge National Laboratory (ORNL)); Sandro Fiore (University of Trento, 
 Italy); and Valentine Anantharaj (Oak Ridge National Laboratory (ORNL))\n\
 nThe High-Velocity AI Cache (HVAC) mechanism promises to improve I/O perfo
 rmance by 12% while pertaining large foundation models for climate.\n\nTag
 : Data Movement and Memory, I/O, Storage, Archive\n\nRegistration Category
 : Workshop Reg Pass\n\nSession Chairs: Suren Byna (The Ohio State Universi
 ty, Lawrence Berkeley National Laboratory (LBNL)); Dean Hildebrand (Google
  LLC); Anthony Kougkas (Illinois Institute of Technology, Argonne National
  Laboratory (ANL)); Jay Lofstead (Sandia National Laboratories, University
  of New Mexico); and Bing Xie (Microsoft Corporation)\n\n
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