State-of-the-art in Large-Scale Volume Visualization Beyond Structured Data

Simple item page
dc.contributor.authorSarton, Jonathanen_US
dc.contributor.authorZellmann, Stefanen_US
dc.contributor.authorDemirci, Serkanen_US
dc.contributor.authorGüdükbay, Uguren_US
dc.contributor.authorAlexandre-Barff, Welcomeen_US
dc.contributor.authorLucas, Laurenten_US
dc.contributor.authorDischler, Jean-Michelen_US
dc.contributor.authorWesner, Stefanen_US
dc.contributor.authorWald, Ingoen_US
dc.contributor.editorBruckner, Stefanen_US
dc.contributor.editorRaidou, Renata G.en_US
dc.contributor.editorTurkay, Cagatayen_US
dc.date.accessioned2023-06-10T06:28:21Z
dc.date.available2023-06-10T06:28:21Z
dc.date.issued2023
dc.description.abstractVolume data these days is usually massive in terms of its topology, multiple fields, or temporal component. With the gap between compute and memory performance widening, the memory subsystem becomes the primary bottleneck for scientific volume visualization. Simple, structured, regular representations are often infeasible because the buses and interconnects involved need to accommodate the data required for interactive rendering. In this state-of-the-art report, we review works focusing on largescale volume rendering beyond those typical structured and regular grid representations.We focus primarily on hierarchical and adaptive mesh refinement representations, unstructured meshes, and compressed representations that gained recent popularity. We review works that approach this kind of data using strategies such as out-of-core rendering, massive parallelism, and other strategies to cope with the sheer size of the ever-increasing volume of data produced by today's supercomputers and acquisition devices. We emphasize the data management side of large-scale volume rendering systems and also include a review of tools that support the various volume data types discussed.en_US
dc.description.documenttypestar
dc.description.number3
dc.description.sectionheadersVolumes and Particles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14857
dc.identifier.issn1467-8659
dc.identifier.pages491-515
dc.identifier.pages25 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14857
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14857
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Rendering; Volumetric models; Ray tracing; Graphics processors; Massively parallel algorithms; Distributed algorithms; Human-centered computing -> Visualization toolkits; Scientific visualization
dc.subjectComputing methodologies
dc.subjectRendering
dc.subjectVolumetric models
dc.subjectRay tracing
dc.subjectGraphics processors
dc.subjectMassively parallel algorithms
dc.subjectDistributed algorithms
dc.subjectHuman centered computing
dc.subjectVisualization toolkits
dc.subjectScientific visualization
dc.titleState-of-the-art in Large-Scale Volume Visualization Beyond Structured Dataen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
v42i3pp491-515_cgf14857.pdf
Size:
583.2 KB
Format:
Adobe Portable Document Format
Download
Collections
EuroVisSTAR2023