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DTSTART:19700308T020000
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DTSTAMP:20230831T095745Z
LOCATION:Sanada II
DTSTART;TZID=Europe/Stockholm:20230626T143000
DTEND;TZID=Europe/Stockholm:20230626T150000
UID:submissions.pasc-conference.org_PASC23_sess158_msa162@linklings.com
SUMMARY:Enabling Scientific Communities through ParaView
DESCRIPTION:Minisymposium\n\nJulien Fausty and François Mazen (Kitware)\n\
 nParaView, an open source scientific visualization framework, turns 21 yea
 rs old in 2023. It owes its success and longevity to a number of technical
  factors: its wealth of IO options, plethora of data processing filters, c
 lient/server architecture, HPC readiness, easy modularity and adaptation a
 nd much more. However, being an open source tool, perhaps nothing has had 
 more impact on the past, present and future of ParaView then its community
 . This talk will first be focused on defining who exactly comprises this c
 ommunity and what are its segments. We will then delve into how changes to
  the code are driven by its community so that ParaView remains consistentl
 y relevant in a mutating scientific landscape. Of particular note in this 
 section is showing how certain members of the community transition from be
 ing passive users, attracted by capabilities of the tool, to active driver
 s of improvement of the ParaView framework, either through bug reporting, 
 feature requests, maintenance or funding. Finally, we will go into the par
 ticularities of serving the scientific community and how this allows ParaV
 iew to consistently push its boundaries and continue to be relevant in an 
 HPC setting.\n\nDomain: Computer Science, Machine Learning, and Applied Ma
 thematics &#8232;\n\nSession Chairs: Rinku Gupta (Argonne National Laboratory) a
 nd Elaine M. Raybourn (Sandia National Laboratories)
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