Handle URI:
http://hdl.handle.net/10754/599848
Title:
Turbulence Visualization at the Terascale on Desktop PCs
Authors:
Treib, M.; Burger, K.; Reichl, F.; Meneveau, C.; Szalay, A.; Westermann, R.
Abstract:
Despite the ongoing efforts in turbulence research, the universal properties of the turbulence small-scale structure and the relationships between small-and large-scale turbulent motions are not yet fully understood. The visually guided exploration of turbulence features, including the interactive selection and simultaneous visualization of multiple features, can further progress our understanding of turbulence. Accomplishing this task for flow fields in which the full turbulence spectrum is well resolved is challenging on desktop computers. This is due to the extreme resolution of such fields, requiring memory and bandwidth capacities going beyond what is currently available. To overcome these limitations, we present a GPU system for feature-based turbulence visualization that works on a compressed flow field representation. We use a wavelet-based compression scheme including run-length and entropy encoding, which can be decoded on the GPU and embedded into brick-based volume ray-casting. This enables a drastic reduction of the data to be streamed from disk to GPU memory. Our system derives turbulence properties directly from the velocity gradient tensor, and it either renders these properties in turn or generates and renders scalar feature volumes. The quality and efficiency of the system is demonstrated in the visualization of two unsteady turbulence simulations, each comprising a spatio-temporal resolution of 10244. On a desktop computer, the system can visualize each time step in 5 seconds, and it achieves about three times this rate for the visualization of a scalar feature volume. © 1995-2012 IEEE.
Citation:
Treib M, Burger K, Reichl F, Meneveau C, Szalay A, et al. (2012) Turbulence Visualization at the Terascale on Desktop PCs. IEEE Transactions on Visualization and Computer Graphics 18: 2169–2177. Available: http://dx.doi.org/10.1109/TVCG.2012.274.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Visualization and Computer Graphics
KAUST Grant Number:
UKC0020
Issue Date:
Dec-2012
DOI:
10.1109/TVCG.2012.274
PubMed ID:
26357124
Type:
Article
ISSN:
1077-2626
Sponsors:
This publication is based on work supported by Award No. UKC0020,made by King Abdullah University of Science and Technology(KAUST).
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorTreib, M.en
dc.contributor.authorBurger, K.en
dc.contributor.authorReichl, F.en
dc.contributor.authorMeneveau, C.en
dc.contributor.authorSzalay, A.en
dc.contributor.authorWestermann, R.en
dc.date.accessioned2016-02-28T06:42:49Zen
dc.date.available2016-02-28T06:42:49Zen
dc.date.issued2012-12en
dc.identifier.citationTreib M, Burger K, Reichl F, Meneveau C, Szalay A, et al. (2012) Turbulence Visualization at the Terascale on Desktop PCs. IEEE Transactions on Visualization and Computer Graphics 18: 2169–2177. Available: http://dx.doi.org/10.1109/TVCG.2012.274.en
dc.identifier.issn1077-2626en
dc.identifier.pmid26357124en
dc.identifier.doi10.1109/TVCG.2012.274en
dc.identifier.urihttp://hdl.handle.net/10754/599848en
dc.description.abstractDespite the ongoing efforts in turbulence research, the universal properties of the turbulence small-scale structure and the relationships between small-and large-scale turbulent motions are not yet fully understood. The visually guided exploration of turbulence features, including the interactive selection and simultaneous visualization of multiple features, can further progress our understanding of turbulence. Accomplishing this task for flow fields in which the full turbulence spectrum is well resolved is challenging on desktop computers. This is due to the extreme resolution of such fields, requiring memory and bandwidth capacities going beyond what is currently available. To overcome these limitations, we present a GPU system for feature-based turbulence visualization that works on a compressed flow field representation. We use a wavelet-based compression scheme including run-length and entropy encoding, which can be decoded on the GPU and embedded into brick-based volume ray-casting. This enables a drastic reduction of the data to be streamed from disk to GPU memory. Our system derives turbulence properties directly from the velocity gradient tensor, and it either renders these properties in turn or generates and renders scalar feature volumes. The quality and efficiency of the system is demonstrated in the visualization of two unsteady turbulence simulations, each comprising a spatio-temporal resolution of 10244. On a desktop computer, the system can visualize each time step in 5 seconds, and it achieves about three times this rate for the visualization of a scalar feature volume. © 1995-2012 IEEE.en
dc.description.sponsorshipThis publication is based on work supported by Award No. UKC0020,made by King Abdullah University of Science and Technology(KAUST).en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectdata compressionen
dc.subjectdata streamingen
dc.subjectvector fieldsen
dc.subjectVisualization system and toolkit designen
dc.subjectvolume renderingen
dc.titleTurbulence Visualization at the Terascale on Desktop PCsen
dc.typeArticleen
dc.identifier.journalIEEE Transactions on Visualization and Computer Graphicsen
dc.contributor.institutionTechnische Universitat Munchen, Munich, Germanyen
dc.contributor.institutionJohns Hopkins University, Baltimore, United Statesen
kaust.grant.numberUKC0020en

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