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DTSTAMP:20230124T171522Z
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DTSTART;TZID=America/Chicago:20221117T083000
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UID:submissions.supercomputing.org_SC22_sess275_rpost161@linklings.com
SUMMARY:Toward Scalable Voxelization of Meshes with High Growth Rate
DESCRIPTION:Posters, Research Posters\n\nToward Scalable Voxelization of M
 eshes with High Growth Rate\n\nHrabánková, Meca, Brzobohatý, &#344;íha, Jaro..
 .\n\nThe poster presents a scalable approach that converts the results of 
 large-scale Computational Fluid Dynamics (CFD) simulations into a volumetr
 ic representation used by volume rendering-based visualization. Even if th
 is functionality is provided by common post-processing tools, its efficien
 t parallelization requires an appropriate load-balancing. Unfortunately, l
 oad-balancing according to the number of cells does not scale for unstruct
 ured meshes with high growth rate that is common in CFD. In the poster, we
  show that with an appropriate redistribution of data among available reso
 urces it is possible to perform the operation in just several seconds with
  significantly improved scalability.\n\nRegistration Category: Tech Progra
 m Reg Pass, Exhibits Reg Pass
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