Authors:
Romain Hoarau
1
;
Eric Coiro
1
;
Sébastien Thon
2
and
Romain Raffin
2
Affiliations:
1
Onera - The French Aerospace Lab, France
;
2
Aix Marseille University and Toulon University, France
Keyword(s):
Spectral Image Rendering, Global Illumination, GPU Computing, Predictive Rendering.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
High-Performance Computing and Parallel Rendering
;
Rendering
;
Rendering Algorithms
Abstract:
In this paper, we describe a framework focused on spectral images rendering. The rendering of a such image
leads us to three major issues: the computation time, the footprint of the spectral image, and the memory
consumption of the algorithm. The computation time can be drastically reduced by the use of GPUs, however,
their memory capacity and bandwidth (compared to their compute power) are limited. When the spectral
dimension of the image will raise, the straightforward approach of the Path Tracing will lead us to high
memory consumption and latency problems. To overcome these problems, we propose the DPEPT (Deferred
Path Evaluation Path Tracing) which consists in decoupling the path evaluation from the path generation. This
technique reduces the memory latency and consumption of the Path Tracing. It allows us to use an efficient
wavelength samples batches parallelization pattern to optimize the path evaluation step and outperforms the
straightforward approach when the spectral reso
lution of the simulated image increases.
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