invited-talk

Embree ray tracing kernels: overview and new features

Authors:

Attila T. Áfra,

Ingo Wald,

Carsten Benthin,

Sven WoopAuthors Info & Claims

SIGGRAPH '16: ACM SIGGRAPH 2016 Talks

Article No.: 52, Pages 1 - 2

https://doi.org/10.1145/2897839.2927450

Published: 24 July 2016 Publication History

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Abstract

Embree is an open source ray tracing library consisting of high-performance kernels optimized for modern CPUs with increasingly wide SIMD units. Since its original release, it has become the state-of-the-art for professional CPU-based rendering applications. In the first half of this talk, we will give a brief overview of the Embree framework and how to use it. In the second half, we will present recent improvements and features introduced since the initial publication of the system. These additions include new geometry types commonly used in production renderers (quads, subdivision surfaces, and hair), improved motion blur support, and ray streams that can be traversed more efficiently than single rays and ray packets.

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References

[1]

Benthin, C., Woop, S., Niessner, M., Selgrad, K., and Wald, I. 2015. Efficient ray tracing of subdivision surfaces using tessellation caching. In Proceedings of the 7th High-Performance Graphics Conference, ACM.

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[2]

Wald, I., Woop, S., Benthin, C., Johnson, G. S., and Ernst, M. 2014. Embree: A kernel framework for efficient CPU ray tracing. ACM Trans. Graph. 33, 4 (July), 143:1--143:8.

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[3]

Woop, S., Benthin, C., Wald, I., Johnson, G. S., and Tabellion, E. 2014. Exploiting local orientation similarity for efficient ray traversal of hair and fur. In High-Performance Graphics 2014, Lyon, France, 2014. Proceedings, 41--49.

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Index Terms

Embree ray tracing kernels: overview and new features
1. Computing methodologies
  1. Computer graphics
    1. Rendering
      1. Ray tracing

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Information

Published In

SIGGRAPH '16: ACM SIGGRAPH 2016 Talks

July 2016

158 pages

ISBN:9781450342827

DOI:10.1145/2897839

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 July 2016

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SIGGRAPH '16

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SIGGRAPH

SIGGRAPH '16: Special Interest Group on Computer Graphics and Interactive Techniques Conference

July 24 - 28, 2016

California, Anaheim

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

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Cited By

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Fan PWang WTong RLi HTang M(2024)gDist: Efficient Distance Computation between 3D Meshes on GPUSIGGRAPH Asia 2024 Conference Papers10.1145/3680528.3687619(1-11)Online publication date: 3-Dec-2024
https://dl.acm.org/doi/10.1145/3680528.3687619
Chen YNie YUmmenhofer BBirkl RPaulitsch MMüller MNießner M(2024)Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and GenerationComputer Vision – ECCV 202410.1007/978-3-031-72673-6_10(173-191)Online publication date: 22-Oct-2024
https://doi.org/10.1007/978-3-031-72673-6_10
Zong CXu JSong JChen SXin SWang WTu C(2023)P2M: A Fast Solver for Querying Distance from Point to Mesh SurfaceACM Transactions on Graphics10.1145/359243942:4(1-13)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592439
Zhdanov AZhdanov D(2020)The Two-Level Semi-Synchronous Parallelization Method for the Caustic and Indirect Luminance Calculation in Realistic RenderingProceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 210.51130/graphicon-2020-2-3-7(paper7-1-paper7-12)Online publication date: 17-Dec-2020
https://doi.org/10.51130/graphicon-2020-2-3-7
Rivera-Alvarado ETorres-Rojas F(2020)Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous ComputingHigh Performance Computing10.1007/978-3-030-41005-6_7(94-108)Online publication date: 12-Feb-2020
https://doi.org/10.1007/978-3-030-41005-6_7

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Embree: a kernel framework for efficient CPU ray tracing

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