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Optimizing GPU Volume Rendering.

Authors: Ruijters, Daniel; Vilanova, Anna;

Optimizing GPU Volume Rendering.

Abstract

Volume Rendering methods employing the GPU capabilities offer high performance on off-the-shelf hardware. In this article, we discuss the various bottlenecks found in the graphics hardware when performing GPU-based Volume Rendering. The specific properties of each bottleneck and the trade-offs between them are described. Further we present a novel strategy to balance the load on the identified bottlenecks, without compromising the image quality. Our strategy introduces a two-staged space-skipping, whereby the first stage applies bricking on a semi-regular grid, and the second stage uses octrees to reach a finer granularity. Additionally we apply early ray termination to the bricks. We demonstrate how the two stages address the individual bottlenecks, and how they can be tuned for a specific hardware pipeline. The described method takes into account that the rendered volume may exceed

Countries
Czech Republic, Belgium
Keywords

direct volume rendering, Technology, vizualizace objemu, Science & Technology, hierarchické vykreslování, hierarchical rendering, GPU, volume visualization, Hierarchical Rendering, Computer Science, Software Engineering, Direct Volume Rendering, přímé objemové vykreslování, Volume Visualization, texture slicing, Computer Science, grafické procesory, graphic processing units, Imaging Science & Photographic Technology, krájení textury, Texture Slicing

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green