Efficient Multi-kernel Ray Tracing for GPUs

Thomas Schiffer, Dieter W. Fellner

2014

Abstract

Images with high visual quality are often generated by a ray tracing algorithm. Despite its conceptual simplicity, designing an efficient mapping of ray tracing computations to massively parallel hardware architectures is a challenging task.In this paper we investigate the performance of state-of-the-art ray traversal algorithms for bounding volume hierarchies on GPUs and discuss their potentials and limitations. Based on this analysis, a novel ray traversal scheme called batch tracing is proposed. It decomposes the task into multiple kernels, each of which is designed for efficient parallel execution. Our algorithm achieves comparable performance to currently prevailing approaches and represents a promising avenue for future research.

Paper Citation

in Harvard Style

Schiffer T. and Fellner D. (2014). Efficient Multi-kernel Ray Tracing for GPUs . In Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014) ISBN 978-989-758-002-4, pages 209-217. DOI: 10.5220/0004703502090217

in Bibtex Style

@conference{grapp14,
author={Thomas Schiffer and Dieter W. Fellner},
title={Efficient Multi-kernel Ray Tracing for GPUs},
booktitle={Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014)},
year={2014},
pages={209-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004703502090217},
isbn={978-989-758-002-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014)
TI - Efficient Multi-kernel Ray Tracing for GPUs
SN - 978-989-758-002-4
AU - Schiffer T.
AU - Fellner D.
PY - 2014
SP - 209
EP - 217
DO - 10.5220/0004703502090217