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UID:DSC-20593
DTSTART;TZID=Europe/Berlin:20240426T100000
SEQUENCE:1709892233
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20240426T150000
URL:https://www.dresden-science-calendar.de/calendar/de/detail/20593
LOCATION:Online\,   
SUMMARY:Politov: ScaDS.AI-Tutorial:Machine Learning on HPC - Introduction
CLASS:PUBLIC
DESCRIPTION:Speaker: Andrei Politov\, Carina Becker\, Mariela Sanchez\nInst
 itute of Speaker: ScaDS.AI Dresden/Leipzig\nTopics:\n\n Location:\n  Name:
  Online ()\n  Street:  \n  City:  \n  Phone: \n  Fax: \nDescription: Due t
 o the heterogeneity of Machine Learning applications\, the motivation to s
 witch to an HPC system can be manifold\, e.g. due to large memory requirem
 ents\, GPU usage or increase of computation speed. The course presents how
  a typical Machine Learning workflow can be realized in the HPC environmen
 t. It is possible to switch to the HPC system at different points in the w
 orkflow – depending on the requirements. The development of Machine Lear
 ning applications is often done by collaborative work within groups\, whic
 h is also taken into account in the implementation of the Machine Learning
  workflow.
DTSTAMP:20260416T041215Z
CREATED:20240308T100353Z
LAST-MODIFIED:20240308T100353Z
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