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Point Containment Queries on Ray Tracing Cores for AMR Flow Visualization

  • Modern GPUs come with dedicated hardware to perform ray/triangle intersections and bounding volume hierarchy (BVH) traversal. While the primary use case for this hardware is photorealistic 3D computer graphics, with careful algorithm design scientists can also use this special-purpose hardware to accelerate general-purpose computations such as point containment queries. This article explains the principles behind these techniques and their application to vector field visualization of large simulation data using particle tracing.

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Metadaten
Document Type:Article
Language:English
Author:Stefan Zellmann, Daniel Seifried, Nathan Morrical, Ingo Wald, Will Usher, Jamie Law-Smith, Stefanie Walch-Gassner, Andre Hinkenjann
Parent Title (English):Computing in Science & Engineering
Volume:24
Issue:2
First Page:40
Last Page:51
ISSN:1521-9615
URN:urn:nbn:de:hbz:1044-opus-61231
DOI:https://doi.org/10.1109/MCSE.2022.3153677
ArXiv Id:http://arxiv.org/abs/2202.12020
Publisher:IEEE
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2022/02/23
Funding Information:The work of Stefan Zellmann was supported in part by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—under Grant 456842964. The work of Daniel Seifried and Stefanie Walch-Gassner was supported in part by the Deutsche Forschungsgemeinschaft (DFG) via the Collaborative Research Center SFB 956 “Conditions and Impact of Star Formation” (subprojects C5 and C6). The work of Stefanie Walch-Gassner was supported in part by European Research Council via ERC Starting under Grant 679852 (RADFEEDBACK). The work of Jamie A. P. Law-Smith was supported in part by the lux supercomputer at UCSC, funded by NSF MRI under Grant AST 1828315 and in part by the HPC facility, University of Copenhagen, funded by a grant from VILLUM FONDEN (Project 16599). The authors would like to thank the Ministry of Culture and Science of the State of North Rhine-Westphalia for supporting the work through the PROFILBILDUNG Grant PROFILNRW-2020-038 C. The SILCC-Zoom simulation data used in this work is based on the FLASH code, which was in part developed by the DOE NNSA-ASC OASCR Flash Center, University of Chicago. The simulations have been run on Supermuc at the Leibniz-Rechenzentrum Garching using supercomputing time acquired via the Gauss Centre for Supercomputing.
Keyword:Codes; Data structures; Geometry; Hardware; Ray tracing; Three-dimensional displays; Topology
Departments, institutes and facilities:Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren
Entry in this database:2022/03/04
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International