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DTSTART;TZID=America/Denver:20231113T133000
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UID:submissions.supercomputing.org_SC23_sess211_tut133@linklings.com
SUMMARY:In-Situ Analysis and Visualization with Ascent and ParaView Cataly
 st
DESCRIPTION:Cyrus Harrison (Lawrence Livermore National Laboratory (LLNL))
 , Jean Favre (Swiss National Supercomputing Centre), Corey Wetterer-Nelson
  (Kitware Inc), and Nicole Marsaglia (Lawrence Livermore National Laborato
 ry (LLNL))\n\nScientific visualization and analysis are key ingredients in
  HPC simulation workflows. For decades, the dominant paradigm has been pos
 t-hoc visualization; simulation codes iterate and save files to disk, givi
 ng the domain scientists the opportunity to read the data back at a later 
 time for analysis. In recent years though, this paradigm has been stressed
  by an ever-diverging rate of growth between I/O and compute speeds. In-si
 tu processing helps mitigate these I/O bottlenecks, enabling simulation an
 d visualization calculations to run in-memory, at higher spatial and tempo
 ral resolution, avoiding the transfer of raw data to disks. Even in cases 
 where I/O bottlenecks do not dominate, in-situ processing is well suited f
 or batch-focused analysis, allowing simulation users to obtain distilled r
 esults without additional workflow steps.\n\nThis half-day tutorial introd
 uces the in-situ visualization paradigm along with Ascent and ParaView Cat
 alyst, two open-source in-situ processing libraries. Both libraries levera
 ge a common interface, Conduit, which provides an intuitive model for desc
 ribing hierarchical scientific data in C++, C, Fortran, and Python. Attend
 ees will gain hands-on experience learning how to describe simulation data
  with Conduit and how to use Ascent and Catalyst to transform data, render
  images, and export results.\n\nTag: Data Analysis, Visualization, and Sto
 rage, I/O and File Systems\n\nRegistration Category: Tutorial Reg Pass\n\n
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