A Transparent and Efficient Extension of IceT for Parallel Compositing on Non-Convex Volume Domain Decompositions

Simple item page
dc.contributor.authorHempel, Paulen_US
dc.contributor.authorGupta, Aryamanen_US
dc.contributor.authorSbalzarini, Ivo F.en_US
dc.contributor.authorGumhold, Stefanen_US
dc.contributor.editorReina, Guidoen_US
dc.contributor.editorRizzi, Silvioen_US
dc.contributor.editorGueunet, Charlesen_US
dc.date.accessioned2025-05-26T07:15:05Z
dc.date.available2025-05-26T07:15:05Z
dc.date.issued2025
dc.description.abstractThe IceT library is widely used for parallel compositing but does not support non-convex volume domain decompositions. We provide a backward-compatible extension of IceT to handle non-convex domain decompositions of volume data. These are frequently produced in numerical simulations, but it is challenging to render them in parallel due to the non-commutativity of alpha compositing. We enable parallel volume rendering of non-convex domains in IceT by extending its parallel compositing to layered images. Our code follows an embedded design, extending and generalizing IceT's internal functions for image compression, splitting, compositing, and decompression to efficiently handle layered images, while maintaining the existing functionality and API. We perform scalability tests and provide our implementation open-source in a public repository, with in-line documentation and integration tests.en_US
dc.description.sectionheadersPapers
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualization
dc.identifier.doi10.2312/pgv.20251151
dc.identifier.isbn978-3-03868-274-5
dc.identifier.issn1727-348X
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/pgv.20251151
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/pgv20251151
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Distributed algorithms; Rendering; Human-centered computing → Visualization techniques
dc.subjectComputing methodologies → Distributed algorithms
dc.subjectRendering
dc.subjectHuman centered computing → Visualization techniques
dc.titleA Transparent and Efficient Extension of IceT for Parallel Compositing on Non-Convex Volume Domain Decompositionsen_US
Files
Original bundle
Now showing 1 - 3 of 3
Thumbnail Image
Name:
pgv20251151.pdf
Size:
2.19 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
1006-file-i7.zip
Size:
64.52 MB
Format:
Zip file
Download
Thumbnail Image
Name:
1006-file-i6.pdf
Size:
8.25 MB
Format:
Adobe Portable Document Format
Download
Collections
EGPGV25: Eurographics Symposium on Parallel Graphics and Visualization