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UID:DSC-20179
DTSTART;TZID=Europe/Berlin:20231023T100000
SEQUENCE:1695737982
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20231023T150000
URL:https://dresden-science-calendar.org/calendar/en/detail/20179
LOCATION:Online\,   
SUMMARY:Werner: ScaDS.AI-Tutorial: Machine Learning on HPC - Introduction
CLASS:PUBLIC
DESCRIPTION:Speaker: Elias Werner\, Lalith Manjunath\, Dr. Sunna Torge\nIns
 titute of Speaker: ScaDS.AI Dresden/Leipzig\nTopics:\n\n Location:\n  Name
 : Online ()\n  Street:  \n  City:  \n  Phone: \n  Fax: \nDescription: Due 
 to the heterogeneity of ML applications\, the motivation to switch to an H
 PC system can be manifold\, e.g. due to large memory requirements\, GPU us
 age or increase of computation speed. The course presents how a typical ML
  workflow can be realized in the HPC environment. It is possible to switch
  to the HPC system at different points in the workflow - depending on the 
 requirements. The development of ML applications is often done by collabor
 ative work within groups\, which is also taken into account in the impleme
 ntation of the ML workflow.
DTSTAMP:20260405T213513Z
CREATED:20230926T141942Z
LAST-MODIFIED:20230926T141942Z
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