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DTSTART;TZID=America/Denver:20231113T120000
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UID:submissions.supercomputing.org_SC23_sess452_ws_isav109@linklings.com
SUMMARY:Scaling Computational Fluid Dynamics: In Situ Visualization of Nek
 RS using SENSEI
DESCRIPTION:Victor A. Mateevitsi (Argonne National Laboratory (ANL)); Math
 is Bode (Forschungzentrum Juelich); Nicola Ferrier (Argonne National Labor
 atory); Paul Fischer (University of Illinois at Urbana-Champaign); Jens He
 nrik Göbbert (Forschungzentrum Juelich); Joseph A. Insley, Yu-Hsiang Lan, 
 Misun Min, Michael E. Papka, Saumil Patel, and Silvio Rizzi (Argonne Natio
 nal Laboratory); and Jonathan Windgassen (Forschungzentrum Juelich)\n\nCom
 putational Fluid Dynamics (CFD) demands immense memory and computational p
 ower, leading to reliance on high-end computing platforms. Traditional met
 hods, like checkpointing, are inefficient, often slowing simulations when 
 data is saved. As technology advances towards exascale and GPU-powered Hig
 h-Performance Computing (HPC), the dilemma emerges: either compromise data
  accuracy or decrease resolution. Addressing this, our research promotes i
 n situ analysis and visualization techniques. This approach allows for mor
 e regular data snapshots directly from memory, bypassing the pitfalls of c
 heckpointing. We delve into our application of NekRS, a GPU-centric therma
 l-fluid simulation code, showcasing diverse in situ strategies. To demonst
 rate real-world implications, we conducted experiments on the Polaris and 
 JUWELS Booster supercomputers. These tests offer crucial insights, suggest
 ing that with careful methodology, one can achieve efficient data manageme
 nt without compromising accuracy, even in the most demanding computational
  scenarios.\n\nTag: Data Analysis, Visualization, and Storage, Large Scale
  Systems, Performance Measurement, Modeling, and Tools\n\nRegistration Cat
 egory: Workshop Reg Pass\n\nSession Chairs: E. Wes Bethel (San Francisco S
 tate University, Lawrence Berkeley National Laboratory (LBNL)); Nicola Fer
 rier (Argonne National Laboratory (ANL), University of Chicago); Axel Hueb
 l (Lawrence Berkeley National Laboratory (LBNL)); Tom Vierjahn (Westphalia
 n University of Applied Sciences); and Sean Ziegeler (US Department of Def
 ense HPC Modernization Program, Department of Defense High Performance Com
 puting Modernization Program (DoD HPCMP))\n\n
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