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DTSTAMP:20230831T095746Z
LOCATION:Flüela
DTSTART;TZID=Europe/Stockholm:20230627T143000
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UID:submissions.pasc-conference.org_PASC23_sess181_pap118@linklings.com
SUMMARY:Hardware-Agnostic Interactive Exascale In Situ Visualization of Pa
 rticle-In-Cell Simulations
DESCRIPTION:Paper\n\nFelix Meyer (Helmholtz-Zentrum Dresden-Rossendorf, TU
  Dresden); Benjamin Hernandez (Oak Ridge National Laboratory); Richard Pau
 sch and Rene Widera (Helmholtz-Zentrum Dresden-Rossendorf); David Groß (TU
  Dresden); Sergei Bastrakov (Helmholtz-Zentrum Dresden-Rossendorf); Axel H
 uebl (Lawrence Berkeley National Laboratory); Guido Juckeland and Jeffrey 
 Kelling (Helmholtz-Zentrum Dresden-Rossendorf); Matt Leinhauser (Universit
 y of Delaware, CASUS); David Rogers (Oak Ridge National Laboratory); Ulric
 h Schramm (Helmholtz-Zentrum Dresden-Rossendorf, TU Dresden); Klaus Steini
 ger (Helmholtz-Zentrum Dresden-Rossendorf); Stefan Gumhold (TU Dresden); J
 eff Young (Georgia Institute of Technology); Michael Bussmann (Helmholtz-Z
 entrum Dresden-Rossendorf, CASUS); Sunita Chandrasekaran (University of De
 laware); and Alexander Debus (Helmholtz-Zentrum Dresden-Rossendorf)\n\nThe
  volume of data generated by exascale simulations requires scalable tools 
 for analysis and visualization. Due to the relatively low I/O bandwidth of
  modern HPC systems, it is crucial to work as close as possible with simul
 ated data via in situ approaches. In situ visualization provides insights 
 into simulation data and, with the help of additional interactive analysis
  tools, can support the scientific discovery process at an early stage. Su
 ch in situ visualization tools need to be hardware-independent given the e
 ver-increasing hardware diversity of modern supercomputers. We present a n
 ew in situ 3D vector field visualization algorithm for particle-in-cell (P
 IC) simulations and performance evaluation of the solution developed at la
 rge-scale. We create a solution in a hardware-agnostic approach to support
  high throughput and interactive in situ processing on leadership class co
 mputing systems. To that end, we demonstrate performance portability on Su
 mmit’s and the Frontier’s pre-exascale testbed at the Oak Ridge Leadership
  Computing Facility.\n\nDomain: Physics, Computer Science, Machine Learnin
 g, and Applied Mathematics &#8232;\n\nSession Chair: Theofilos Manitaras (ETH Zu
 rich / CSCS)
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