Stackless KD-Tree Traversal for High Performance GPU Ray Tracing
Significant advances have been achieved for realtime ray tracing recently, but realtime performance for complex scenes still requires large computational resources not yet available from the CPUs in standard PCs. Incidentally, most of these PCs also contain modern GPUs that do offer much larger raw...
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Published in | Computer graphics forum Vol. 26; no. 3; pp. 415 - 424 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.09.2007
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Subjects | |
Online Access | Get full text |
ISSN | 0167-7055 1467-8659 |
DOI | 10.1111/j.1467-8659.2007.01064.x |
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Summary: | Significant advances have been achieved for realtime ray tracing recently, but realtime performance for complex scenes still requires large computational resources not yet available from the CPUs in standard PCs. Incidentally, most of these PCs also contain modern GPUs that do offer much larger raw compute power. However, limitations in the programming and memory model have so far kept the performance of GPU ray tracers well below that of their CPU counterparts.
In this paper we present a novel packet ray traversal implementation that completely eliminates the need for maintaining a stack during kd‐tree traversal and that reduces the number of traversal steps per ray. While CPUs benefit moderately from the stackless approach, it improves GPU performance significantly. We achieve a peak performance of over 16 million rays per second for reasonably complex scenes, including complex shading and secondary rays. Several examples show that with this new technique GPUs can actually outperform equivalent CPU based ray tracers. |
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Bibliography: | istex:BBFE8062534EAE201693013DBAD7F103A84C4FEC ark:/67375/WNG-FQ9RBZC2-P ArticleID:CGF1064 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 SourceType-Scholarly Journals-2 ObjectType-Feature-2 ObjectType-Conference Paper-1 SourceType-Conference Papers & Proceedings-1 ObjectType-Article-3 |
ISSN: | 0167-7055 1467-8659 |
DOI: | 10.1111/j.1467-8659.2007.01064.x |