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X-LIC-LOCATION:Europe/Stockholm
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TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20190719T085745Z
LOCATION:HG D 3.2
DTSTART;TZID=Europe/Stockholm:20190614T143000
DTEND;TZID=Europe/Stockholm:20190614T150000
UID:submissions.pasc-conference.org_PASC19_sess157_msa282@linklings.com
SUMMARY:Parallel Data Visualization for Nek5000 in ParaView
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Emerg
 ing Application Domains, Physics, Engineering\n\nParallel Data Visualizati
 on for Nek5000 in ParaView\n\nFavre\n\nA parallel data interface to the na
 tive NEK5000 data format has been integrated into ParaView, the world lead
 ing open-source Visualization Application. ParaView itself can rely on two
  forms of parallel libraries. providing on-the-node parallelism (e.g. TBB-
 based) and inter-node parallelism with MPI. This forms the basis for the d
 eployment of a parallel interface to the NEK5000 data. We will describe th
 e details of the implementation, in particular the support for the transit
 ion from spectral elements to the hexahedral elements required for visuali
 zation, and the memory caching of geometric structures. Further down the v
 isualization pipeline, rendering itself is provided by different solutions
  each providing parallel acceleration on the CPU and the GPU side. We will
  highlight a few key features of the Intel OSPRay and the NVIDIA IndeX ren
 dering libraries in the context of volumetric rendering of NEK5000 data.
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