| First Authors |
Paul Hempel, Aryaman Gupta
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| Authors |
Paul Hempel, Aryaman Gupta, Ivo F. Sbalzarini, Stefan Gumhold
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| Corresponding Authors |
Stefan Gumhold
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| Last Authors |
Stefan Gumhold
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| Conference Proceedings Volume Title |
Proc. Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) |
| Series Title |
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| Conference Name |
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) |
| Conference Location |
Luxembourg |
| Conference Start Date |
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| Conference End Date |
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| Chapter Number |
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| Publisher |
The Eurographics Association |
| Conference Proceedings Editors |
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| ISBN |
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| First Page |
1 |
| Last Page |
5 |
| Open Access |
true |
| Print Publication Date |
2025-06-01 |
| Online Publication Date |
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| Abstract |
The 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. |
| PDF |
Hempel_2025_9004.pdf
(2.2 MB)
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| Cover Image |
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| Affiliated With |
Sbalzarini
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| Selected By |
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| Acknowledged Services |
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| Publication Status |
Published |
| Edoc Link |
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| Sfx Link |
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| DOI |
10.2312/pgv.20251151 |
| PubMed ID |
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| WebOfScience Link |
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| Alternative Full Text URL |
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| Display Publisher Download Only |
false |
| Visible On MPI-CBG Website |
true |
| PDF Downloadable |
true |
| Created By |
sbalzari |
| Added Date |
2025-06-02 |
| Last Edited By |
thuem |
| Last Edited Date |
2025-06-27 10:49:11.321 |
| Library ID |
9004 |
| Document ID |
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| Entry Complete |
false |
| eDoc Compliant |
false |
| Include in Edoc Report |
false |
| In Pure |
false |
| Ready for eDoc Export |
false |
| Author Affiliations Complete |
false |
| Project Name |
ScaDS.AI |
| Project URL |
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| Grant ID |
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| Funding Programme |
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| Funding Organisation |
BMBF |