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UID:DSC-22211
DTSTART;TZID=Europe/Berlin:20251009T100000
SEQUENCE:1755689145
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20251009T150000
URL:https://www.dresden-science-calendar.de/calendar/en/detail/22211
LOCATION:Online\,   
SUMMARY:Binder: Tutorial: Machine Learning on HPC – Introduction
CLASS:PUBLIC
DESCRIPTION:Speaker: Prof. Alexander Binder\, Dr. Paramita Mirza\, Dr. Pete
 r Winkler\nInstitute of Speaker: ScaDS.AI Dresden/Leipzig\nTopics:\n\n Loc
 ation:\n  Name: Online (Room link will be announced after registration.)\n
   Street:  \n  City:  \n  Phone: \n  Fax: \nDescription: Due to the hetero
 geneity of Machine Learning applications\, the motivation to switch to an 
 HPC system can be manifold\, e.g. due to large memory requirements\, GPU u
 sage or increase of computation speed. The course presents how a typical M
 achine Learning workflow can be realized in the HPC environment. It is pos
 sible to switch to the HPC system at different points in the workflow – 
 depending on the requirements. The development of Machine Learning applica
 tions is often done by collaborative work within groups\, which is also ta
 ken into account in the implementation of the Machine Learning workflow.
DTSTAMP:20260818T095143Z
CREATED:20250820T082906Z
LAST-MODIFIED:20250820T112545Z
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