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UID:pretalx-euroscipy-2023-STXCKT@pretalx.com
DTSTART;TZID=CET:20230817T160500
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DESCRIPTION:Handling and analyzing massive data sets is highly important fo
 r the vast majority of research communities\, but it is also challenging\,
  especially for those communities without a background in high-performance
  computing (HPC). The Helmholtz Analytics Toolkit (Heat) library offers a 
 solution to this problem by providing memory-distributed and hardware-acce
 lerated array manipulation\, data analytics\, and machine learning algorit
 hms in Python\, targeting the usage by non-experts in HPC.\n\nIn this pres
 entation\, we will provide an overview of Heat's current features and capa
 bilities and discuss its role in the ecosystem of distributed array comput
 ing and machine learning in Python.
DTSTAMP:20260413T021734Z
LOCATION:HS 120
SUMMARY:The Helmholtz Analytics Toolkit (Heat) and its role in the landscap
 e of massively-parallel scientific Python - Fabian Hoppe
URL:https://pretalx.com/euroscipy-2023/talk/STXCKT/
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