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DTSTAMP:20260422T143138Z
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DTSTART;TZID=America/New_York:20241117T163000
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UID:submissions.supercomputing.org_SC24_sess743_ws_isav105@linklings.com
SUMMARY:Scalable In-Situ Visualization for Extreme-Scale SPH Simulations
DESCRIPTION:Yiqing Zhu and Osman Seckin Simsek (University of Basel, Switz
 erland); Jean M. Favre (Swiss National Supercomputing Centre (CSCS)); and 
 Rubén Cabezón and Florina M. Ciorba (University of Basel, Switzerland)\n\n
 Large-scale scientific simulations present significant challenges in data 
 processing efficiency.\nThis paper addresses the critical issue of I/O and
  data processing performance bottlenecks within the domain of extreme-scal
 e Smoothed-particle Hydrodynamics (SPH) and gravity simulations.\nWe prese
 nt a novel I/O software architecture implemented in the scalable SPH-EXA f
 ramework,  incorporating a variety of in-situ and post-hoc data analysis p
 ipelines, facilitating rapid analysis and visualization of extreme-scale p
 hysical datasets.\nThe performance of our I/O architecture is evaluated th
 rough comprehensive benchmarking across a wide range of data scales, condu
 cted on the Piz Daint supercomputer.\n\nTag: Distributed Computing, Perfor
 mance Evaluation and/or Optimization Tools, Scientific and Information Vis
 ualization\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: 
 Nicola Ferrier (Argonne National Laboratory (ANL), University of Chicago);
  Axel Huebl (Lawrence Berkeley National Laboratory (LBNL)); Matthew Larsen
  (Luminary Cloud Inc); Will Usher (Luminary Cloud Inc); and Sean Ziegeler 
 (US Department of Defense HPC Modernization Program, Department of Defense
  High Performance Computing Modernization Program (DoD HPCMP))\n\n
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