Universität zu Köln

Wald, Ingo ORCID: 0000-0003-0046-713X, Morrical, Nate and Zellmann, Stefan ORCID: 0000-0003-2880-9090 (2022). A Memory Efficient Encoding for Ray Tracing Large Unstructured Data. IEEE Trans. Vis. Comput. Graph., 28 (1). S. 583 - 593. LOS ALAMITOS: IEEE COMPUTER SOC. ISSN 1941-0506

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Abstract

In theory, efficient and high-quality rendering of unstructured data should greatly benefit from modern GPUs, but in practice, GPUs are often limited by the large amount of memory that large meshes require for element representation and for sample reconstruction acceleration structures. We describe a memory-optimized encoding for large unstructured meshes that efficiently encodes both the unstructured mesh and corresponding sample reconstruction acceleration structure, while still allowing for fast random-access sampling as required for rendering. We demonstrate that for large data our encoding allows for rendering even the 2.9 billion element Mars Lander on a single off-the-shelf GPU-and the largest 6.3 billion version on a pair of such GPUs.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Wald, Ingo UNSPECIFIED orcid.org/0000-0003-0046-713X UNSPECIFIED Morrical, Nate UNSPECIFIED UNSPECIFIED UNSPECIFIED Zellmann, Stefan UNSPECIFIED orcid.org/0000-0003-2880-9090 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-677067
DOI:	10.1109/TVCG.2021.3114869
Journal or Publication Title:	IEEE Trans. Vis. Comput. Graph.
Volume:	28
Number:	1
Page Range:	S. 583 - 593
Date:	2022
Publisher:	IEEE COMPUTER SOC
Place of Publication:	LOS ALAMITOS
ISSN:	1941-0506
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language VISUALIZATION Multiple languages Computer Science, Software Engineering Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/67706