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DTSTART;TZID=America/Denver:20231113T115000
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UID:submissions.supercomputing.org_SC23_sess452_ws_isav101@linklings.com
SUMMARY:State of In Situ Visualization in Simulations: We are fast. But ar
 e we inspiring?
DESCRIPTION:Axel Huebl, Arianna Formenti, Marco Garten, and Jean-Luc Vay (
 Lawrence Berkeley National Laboratory)\n\nVisualization of dynamic process
 es in scientific high-performance computing is an immensely data intensive
  endeavor. Application codes have recently demonstrated scaling to full-si
 ze Exascale machines, and generating high-quality data for visualization i
 s consequently on the machine-scale, easily spanning 100s of TBytes of inp
 ut to generate a single video frame. In situ visualization, the technique 
 to consume the many-node decomposed data in-memory, as exposed by applicat
 ions, is the dominant workflow. Although in situ visualization has achieve
 d tremendous progress in the last decade, scaling to system-size together 
 with the application codes that produce its data, there is one important q
 uestion that we cannot skip: is what we produce insightful and inspiring?\
 n\nTag: Data Analysis, Visualization, and Storage, Large Scale Systems, Pe
 rformance Measurement, Modeling, and Tools\n\nRegistration Category: Works
 hop Reg Pass\n\nSession Chairs: E. Wes Bethel (San Francisco State Univers
 ity, Lawrence Berkeley National Laboratory (LBNL)); Nicola Ferrier (Argonn
 e National Laboratory (ANL), University of Chicago); Axel Huebl (Lawrence 
 Berkeley National Laboratory (LBNL)); Tom Vierjahn (Westphalian University
  of Applied Sciences); and Sean Ziegeler (US Department of Defense HPC Mod
 ernization Program, Department of Defense High Performance Computing Moder
 nization Program (DoD HPCMP))\n\n
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