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TZID:Europe/Stockholm
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20210916T132455Z
LOCATION:Ernesto Bertarelli
DTSTART;TZID=Europe/Stockholm:20210709T150000
DTEND;TZID=Europe/Stockholm:20210709T153000
UID:submissions.pasc-conference.org_PASC21_sess151_msa302@linklings.com
SUMMARY:In-Situ Machine Learning for Intelligent Data Capture on Exascale 
 Platforms
DESCRIPTION:Minisymposium\n\nIn-Situ Machine Learning for Intelligent Data
  Capture on Exascale Platforms\n\nDavis\n\nWe present a framework for deve
 loping in-situ anomaly detection algorithms with minimal communication and
  storage requirements, and describe a variety of spatial and temporal anom
 aly detection methodologies developed therein. We demonstrate the efficacy
  of these algorithms in the domains of fluid dynamics, combustion, and cli
 mate modeling.\n\nDomain: CS and Math, Emerging Applications, Climate and 
 Weather, Physics, Engineering
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