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SUMMARY:Seeing the Sun through the Clouds: Accelerating the SunPy Data Ana
 lysis Ecosystem with Dask - Nabil Freij\, Will Barnes\, Jack Ireland\, Stu
 art Mumford
DTSTART;TZID=America/Chicago:20230712T143500
DTEND;TZID=America/Chicago:20230712T150500
DTSTAMP:20261015T203658Z
UID:pretalx-2023-DZBF7K@cfp.scipy.org
DESCRIPTION:Over the last decade\, the SunPy ecosystem\, a Python solar da
 ta analysis environment\, has evolved organically to serve the needs of sc
 ientists analyzing solar physics data\, mostly on desktop and laptop compu
 ters. However\, modern solar observatories are producing data volumes in t
 he tens of petabytes\, necessitating the need for parallelized and out-of-
 core computation. HelioCloud is a cloud computing environment tailored for
  heliophysics research and colocated with many terabytes of solar physics 
 data. In this talk\, we will show how the SunPy ecosystem\, combined with 
 Dask on HelioCloud\, can be used to efficiently process high-resolution so
 lar data.
LOCATION:Grand Salon C
URL:https://cfp.scipy.org/2023/talk/DZBF7K/
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