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Authors: Juan J. Jiménez 1 ; Carlos J. Ogáyar 2 ; José M. Noguera 2 and Félix Paulano 2

Affiliations: 1 University of Jaén, Spain ; 2 Universidad de Jaén, Spain

Keyword(s): Ray-triangle Algorithms, Parallel Processing, Raytracing, Geometric Algorithms, Graphics Processors.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; High-Performance Computing and Parallel Rendering ; Real-Time Rendering ; Rendering

Abstract: Several algorithms have been proposed during the past years to solve the ray-triangle intersection test. In this paper we collect the most prominent solutions and describe how to parallelize them on modern programmable graphics processing units (GPUs) by means of NVIDIA CUDA. This paper also provides a comprehensive performance analysis based on several optional features and optimizations (such as back-face culling and the use of pre-computed values) that allowed us to determine the influence of each factor on the performance. Finally, we analyze the architecture of the GPU and its impact on the parallel implementation of each method, as well as the approach used to achieve a high-performance fine-grained parallel computation on the ray-triangle test.

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Paper citation in several formats:
Jiménez, J.; Ogáyar, C.; Noguera, J. and Paulano, F. (2014). Performance Analysis for GPU-based Ray-triangle Algorithms. In Proceedings of the 9th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2014) - GRAPP; ISBN 978-989-758-002-4; ISSN 2184-4321, SciTePress, pages 239-246. DOI: 10.5220/0004650002390246

@conference{grapp14,
author={Juan J. Jiménez. and Carlos J. Ogáyar. and José M. Noguera. and Félix Paulano.},
title={Performance Analysis for GPU-based Ray-triangle Algorithms},
booktitle={Proceedings of the 9th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2014) - GRAPP},
year={2014},
pages={239-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004650002390246},
isbn={978-989-758-002-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Graphics Theory and Applications (VISIGRAPP 2014) - GRAPP
TI - Performance Analysis for GPU-based Ray-triangle Algorithms
SN - 978-989-758-002-4
IS - 2184-4321
AU - Jiménez, J.
AU - Ogáyar, C.
AU - Noguera, J.
AU - Paulano, F.
PY - 2014
SP - 239
EP - 246
DO - 10.5220/0004650002390246
PB - SciTePress

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