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DTSTART;TZID=Europe/Stockholm:20230627T173000
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UID:submissions.pasc-conference.org_PASC23_sess168_msa173@linklings.com
SUMMARY:In-Situ Visualization Solutions Come to the Rescue
DESCRIPTION:Minisymposium\n\nJean Favre (ETH Zurich / CSCS)\n\nScientific 
 visualization and analysis are key ingredients in HPC simulation workflows
 . For decades, the dominant paradigm has been post-hoc visualization; simu
 lation codes iterate and save files to disk, giving the domain scientists 
 the opportunity to read the data back at a later time. However, in recent 
 years where data volumes are growing at an ever-diverging rate as compared
  to I/O subsystems, this traditional paradigm has been greatly stressed ou
 t. In-situ processing helps mitigate these I/O bottlenecks, enabling simul
 ation and visualization calculations to run in-memory, at higher spatial a
 nd temporal resolution, while the simulation is running, limiting, or avoi
 ding the transfer of raw data to disks. We will introduce two open-source 
 libraries, “ParaView Catalyst” and “Ascent”, enabling in-situ data analysi
 s and visualization. In-situ libraries can analyze, and transform data, re
 nder images, and export results in real-time, but require careful planning
  because we miss the exploratory, “what-if” analysis process enabled by th
 e interactive visualization applications we are accustomed to. Doing in-si
 tu visualization represents a paradigm shift that will impact the scientis
 t's workflow. We will summarize our early adoption of in-situ visualizatio
 n scenarios with examples from different simulation fields.\n\nDomain: Com
 puter Science, Machine Learning, and Applied Mathematics 
\n\nSession Chai
 r: Florian Cabot (EPFL)
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