research-article

OptiX: a general purpose ray tracing engine

Authors:

Steven G. Parker,

Andreas Dietrich,

Heiko Friedrich,

Jared Hoberock,

David McAllister,

Morgan McGuire,

Austin Robison,

Martin StichAuthors Info & Claims

SIGGRAPH '10: ACM SIGGRAPH 2010 papers

Article No.: 66, Pages 1 - 13

https://doi.org/10.1145/1833349.1778803

Published: 26 July 2010 Publication History

Abstract

The NVIDIA® OptiX™ ray tracing engine is a programmable system designed for NVIDIA GPUs and other highly parallel architectures. The OptiX engine builds on the key observation that most ray tracing algorithms can be implemented using a small set of programmable operations. Consequently, the core of OptiX is a domain-specific just-in-time compiler that generates custom ray tracing kernels by combining user-supplied programs for ray generation, material shading, object intersection, and scene traversal. This enables the implementation of a highly diverse set of ray tracing-based algorithms and applications, including interactive rendering, offline rendering, collision detection systems, artificial intelligence queries, and scientific simulations such as sound propagation. OptiX achieves high performance through a compact object model and application of several ray tracing-specific compiler optimizations. For ease of use it exposes a single-ray programming model with full support for recursion and a dynamic dispatch mechanism similar to virtual function calls.

References

[1]

Aila, T., and Laine, S. 2009. Understanding the Efficiency of Ray Traversal on GPUs. In Proceedings of High-Performance Graphics 2009, 145--149.

Digital Library

[2]

Bigler, J., Stephens, A., and Parker, S. G. 2006. Design for Parallel Interactive Ray Tracing Systems. In Proceedings of the 2006 IEEE Symposium on Interactive Ray Tracing, 187--196.

[3]

Bikker, J. 2007. Real-time Ray Tracing Through the Eyes of a Game Developer. In RT '07: Proceedings of the 2007 IEEE Symposium on Interactive Ray Tracing, 1--10.

Digital Library

[4]

Caustic Graphics, 2009. Introduction to CausticRT. http://www.caustic.com/pdf/Introduction_to_CausticRT.pdf.

[5]

Dietrich, A., Wald, I., Benthin, C., and Slusallek, P. 2003. The OpenRT Application Programming Interface -- Towards A Common API for Interactive Ray Tracing. In Proceedings of the 2003 OpenSG Symposium, 23--31.

[6]

Djeu, P., Hunt, W., Wang, R., Elhassan, I., Stoll, G., and Mark, W. R. 2007. Razor: An Architecture for Dynamic Multiresolution Ray Tracing. Tech. Rep. TR-07-52.

[7]

Georgiev, I., and Slusallek, P. 2008. RTfact: Generic Concepts for Flexible and High Performance Ray Tracing. In IEEE/Eurographics Symposium on Interactive Ray Tracing 2008.

[8]

Goldsmith, J., and Salmon, J. 1987. Automatic Creation of Object Hierarchies for Ray Tracing. IEEE Computer Graphics and Applications 7, 5, 14--20.

Digital Library

[9]

Green, S. A., and Paddon, D. J. 1990. A Highly Flexible Multiprocessor Solution for Ray Tracing. The Visual Computer 6, 2, 62--73.

[10]

Gribble, C. P., and Ramani, K. 2008. Coherent Ray Tracing via Stream Filtering. In Proceedings of the 2006 IEEE Symposium on Interactive Ray Tracing, 59--66.

[11]

Havran, V. 2001. Heuristic Ray Shooting Algorithms. PhD thesis, Faculty of Electrical Engineering, Czech Technical University in Prague.

[12]

Horn, D. R., Sugerman, J., Houston, M., and Hanrahan, P. 2007. Interactive k-d tree gpu raytracing. In I3D '07: Proceedings of the 2007 symposium on Interactive 3D graphics and games, ACM, New York, NY, USA, 167--174.

Digital Library

[13]

Kajiya, J. T. 1986. The Rendering Equation. In Computer Graphics (Proceedings of ACM SIGGRAPH), 143--150.

Digital Library

[14]

Lattner, C., and Adve, V. 2004. LLVM: A Compilation Framework for Lifelong Program Analysis & Transformation. In CGO '04: Proceedings of the 2004 International Symposium on Code Generation and Optimization.

Digital Library

[15]

Lauterbach, C., eui Yoon, S., and Manocha, D. 2006. RT-DEFORM: Interactive Ray Tracing of Dynamic Scenes using BVHs. In In Proceedings of the 2006 IEEE Symposium on Interactive Ray Tracing, 39--45.

[16]

Lauterbach, C., Garland, M., Sengupta, S., Luebke, D., and Manocha, D. 2009. Fast BVH Construction on GPUs. Computer Graphics Forum (Proceedings of Eurographics) 28, 2, 375--384.

[17]

Lindholm, E., Nickolls, J., Oberman, S., and Montrym, J. 2008. NVIDIA Tesla: A Unified Graphics and Computing Architecture. IEEE Micro 28, 39--55.

Digital Library

[18]

MacDonald, J. D., and Booth, K. S. 1989. Heuristics for Ray Tracing using Space Subdivision. In Proceedings of Graphics Interface, 152--63.

[19]

McGuire, M., and Luebke, D. 2009. Hardware-Accelerated Global Illumination by Image Space Photon Mapping. In Proceedings of the 2009 ACM SIGGRAPH/EuroGraphics conference on High Performance Graphics.

Digital Library

[20]

Muuss, M. J. 1995. Towards Real-Time Ray-Tracing of Combinatorial Solid Geometric Models. In Proceedings of BRL-CAD Symposium.

[21]

NVIDIA, 2010. NVIDIA OptiX Ray Tracing Engine Programming Guide Version 2.0. http://developer.nvidia.com/object/-optix-home.html.

[22]

NVIDIA, 2010. PTX: Parallel Thread Execution ISA Version 2.0. http://developer.download.nvidia.com/compute/cuda/3_0/-toolkit/docs/ptx_isa_2.0.pdf.

[23]

Parker, S. G., Martin, W., Sloan, P.-P. J., Shirley, P., Smits, B. E., and Hansen, C. D. 1999. Interactive Ray Tracing. In SI3D, 119--126.

Digital Library

[24]

Popov, S., Günther, J., Seidel, H.-P., and Slusallek, P. 2007. Stackless kd-tree traversal for high performance gpu ray tracing. Computer Graphics Forum 26, 3 (Sept.). (Proceedings of Eurographics), to appear.

[25]

Reshetov, A., Soupikov, A., and Hurley, J. 2005. Multi-Level Ray Tracing Algorithm. ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH), 1176--1185.

Digital Library

[26]

Shevtsov, M., Soupikov, A., and Kapustin, A. 2007. Highly Parallel Fast KD-tree Construction for Interactive Ray Tracing of Dynamic Scenes. Computer Graphics Forum 26, 3, 395--404.

[27]

Stich, M., Friedrich, H., and Dietrich, A. 2009. Spatial Splits in Bounding Volume Hierarchies. In Proceedings of High-Performance Graphics 2009, 7--13.

Digital Library

[28]

Wald, I., Benthin, C., Wagner, M., and Slusallek, P. 2001. Interactive Rendering with Coherent Ray Tracing. In Computer Graphics Forum (Proceedings of Eurographics 2001), vol. 20.

[29]

Wald, I., Boulos, S., and Shirley, P. 2007. Ray Tracing Deformable Scenes using Dynamic Bounding Volume Hierarchies. ACM Transactions on Graphics 26, 1.

Digital Library

[30]

Wald, I., Mark, W. R., Günther, J., Boulos, S., Ize, T., Hunt, W., Parker, S. G., and Shirley, P. 2007. State of the Art in Ray Tracing Animated Scenes. In STAR Proceedings of Eurographics 2007, 89--116.

[31]

Whitted, T. 1980. An Improved Illumination Model for Shaded Display. Commun. ACM 23, 6, 343--349.

Digital Library

[32]

Woop, S., Schmittler, J., and Slusallek, P. 2005. RPU: A Programmable Ray Processing Unit for Realtime Ray Tracing. ACM Transactions on Graphics (Proceeding of ACM SIGGRAPH) 24, 3, 434--444.

Digital Library

[33]

Zhou, K., Hou, Q., Wang, R., and Guo, B. 2008. Real-Time KD-Tree Construction on Graphics Hardware. In ACM Transactions on Graphics (Proceedings of SIGGRAPH ASIA), 1--11.

Digital Library

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Index Terms

OptiX: a general purpose ray tracing engine
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation
    2. Graphics systems and interfaces
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software architectures

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cover image ACM Conferences

SIGGRAPH '10: ACM SIGGRAPH 2010 papers

July 2010

984 pages

ISBN:9781450302104

DOI:10.1145/1833349

Conference Chair:
Tony DeRose,
Editor:
Hugues Hoppe
ACM Transactions on Graphics

Copyright © 2010 ACM.

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Published: 26 July 2010

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SIGGRAPH '10: Special Interest Group on Computer Graphics and Interactive Techniques Conference

July 26 - 30, 2010

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SIGGRAPH '10 Paper Acceptance Rate 103 of 390 submissions, 26%;

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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https://doi.org/10.3389/fcvm.2024.1384421
Reshetov AHart D(2024)Modeling Hair Strands with Roving CapsulesACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657450(1-9)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657450
Zellmann SWu QMa KWald I(2023)Memory‐Efficient GPU Volume Path Tracing of AMR Data Using the Dual MeshComputer Graphics Forum10.1111/cgf.1481142:3(51-62)Online publication date: 27-Jun-2023
https://doi.org/10.1111/cgf.14811
Zeng YWang LXu YMeng X(2023)Neural Temporal Denoising for Indirect IlluminationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.321730529:12(5569-5578)Online publication date: 1-Dec-2023
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Wald IMorrical NZellmann S(2022)A Memory Efficient Encoding for Ray Tracing Large Unstructured DataIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311486928:1(583-592)Online publication date: Jan-2022
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