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BEGIN:VEVENT
DTSTAMP:20260421T090514Z
LOCATION:Bldg. 6 - Room 102
DTSTART;TZID=Europe/Stockholm:20260630T134500
DTEND;TZID=Europe/Stockholm:20260630T141500
UID:submissions.pasc-conference.org_PASC26_sess127_msa116@linklings.com
SUMMARY:Multi-Resolution Reconstruction of Large-Scale Scientific Data for
  High-Quality Visualization
DESCRIPTION:Markéta Faltýnková (IT4Innovations, VŠB - Technical University
  of Ostrava)\n\nThe growing volume of data produced by scientific simulati
 ons in the exascale era poses\nmajor challenges for effective visualizatio
 n and analysis. We will present a method for\nreducing the size of large-s
 cale simulation datasets by reconstructing them into\nmulti-resolution gri
 ds, enabling the generation of high-quality images using visual effects\ns
 oftware—powerful tools for communicating complex scientific phenomena thro
 ugh\nengaging visuals. Grid refinement is guided by fractal dimension anal
 ysis, allowing essential\ndetails to be preserved while significantly redu
 cing the number of stored voxels and overall\nmemory requirements. In addi
 tion, our modified version of the Cycles, a powerful physically\nbased pat
 h-tracing renderer in Blender software, supports volume rendering of\nmult
 i-resolution data and distributed rendering on HPC clusters. This allows t
 he generation\nof high-quality images directly on the cluster. Overall, th
 e proposed approach enables\nefficient exploration and visualization of la
 rge-scale simulation data. The method is\ndemonstrated on datasets from as
 trophysics and cosmology, as well as on computational\nfluid dynamics (CFD
 ) data.\n\nDomain: Applied Social Sciences and Humanities, Computational M
 ethods and Applied Mathematics\n\nSession Chairs: Guillaume Houzeaux (Barc
 elona Supercomputing Center) and Guillermo Marin (Barcelona Supercomputing
  Center, Universitat Autònoma de Barcelona)\n\n
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