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DTSTAMP:20260705T133658Z
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DTSTART:20210420T070000Z
DTEND:20210422T110000Z
DESCRIPTION:Interactive exploration and analysis of large amounts of data f
 rom scientific simulations\, in-situ visualization and application control
  are convincing scenarios for explorative sciences. Based on the open sour
 ce software Jupyter or JupyterLab\, a way has been available for some time
  now that combines interactive with reproducible computing while at the sa
 me time meeting the challenges of support for the wide range of different 
 software workflows.\n\nEven on supercomputers\, the method enables the cre
 ation of documents that combine live code with narrative text\, mathematic
 al equations\, visualizations\, interactive controls\, and other extensive
  output. However\, a number of challenges must be mastered in order to mak
 e existing workflows ready for interactive high-performance computing. Wit
 h so many possibilities\, it's easy to lose sight of the big picture. This
  course provides a detailed introduction to interactive high-performance c
 omputing.\n\nThe following topics are covered:\n\n\n	Introduction to Jupyt
 erLab\n	Customizing JupyterLab\n	JupyterLab on HPC resources\n	Using Jupyt
 erLab as a proxy\n	Remote visualization within JupyterLab\n	Jupyter Intera
 ctive Widget Ecosystem\n	Utilizing supercomputers with JupyterLab\n	Extend
 ing JupyterLab\n	Jupyter-JSC under the hood\n\n\nPrerequisites:\n\nExperie
 nce in Python\n\nDate:\n\n20-22 April 2021\, 09:00-13:00\n\nApplication \n
 Registrations are only considered until 1 April 2021\, the maximal number 
 of participants is limited. Applicants will be notified\, whether they are
  accepted for participitation.\n\nInstructors:\n\nJens Henrik Göbbert\, A
 lice Grosch\, Jülich Supercomputing Centre\nhttps://events.prace-ri.eu/ev
 ent/1162/
SUMMARY:[ONLINE] Interactive High-Performance Computing with Jupyter
URL;VALUE=URI:https://events.prace-ri.eu/event/1162/
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