NDLI: GPU-Based Hierarchical Computations for View Independent Visibility

Content Provider	IEEE Xplore Digital Library
Author	Goradia, R. Ajmera, P. Chandran, S.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. Bombay, Mumbai (Goradia, R.; Ajmera, P.; Chandran, S.)
Abstract	With rapid improvements in the performance and programmability, graphics processing units (GPUs) have fostered considerable interest in substantially reducing the running time of compute intensive problems. The solution to the view-independent mutual point-pair visibility problem (required for inter-reflections in global illumination) can, it would seem, require the capabilities of the GPUs. In this paper, various ways of parallelizing the construction of the visibility map (V-map, a description of mutual visibility) are presented to lead the way for an implementation that achieves a speedup of 11 or more. We evaluate our scheme qualitatively and quantitatively, and conclude that parallelizing the V-map construction algorithm is eminently useful.
Starting Page	560
Ending Page	567
File Size	4587528
Page Count	8
File Format	PDF
ISBN	9780769534763
DOI	10.1109/ICVGIP.2008.87
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Image processing Buildings Global illumination Data structures GPU Visibility map Computer science Layout Lighting Computer graphics Cities and towns Time sharing computer systems Visibility
Content Type	Text
Resource Type	Article

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