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CudaPre3D: An Alternative Preprocessing Algorithm for Accelerating 3D Convex Hull Computation on the GPUMEI, G.   , XU, N. |
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Author keywords
computational geometry, computer aided engineering, multicore processing, parallel algorithms, parallel programming
References keywords
convex(20), hull(14), hulls(5), graphics(5), algorithm(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 35 - 44
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02005
Web of Science Accession Number: 000356808900005
SCOPUS ID: 84979726246
Abstract
In the calculating of convex hulls for point sets, a preprocessing procedure that is to filter the input points by discarding non-extreme points is commonly used to improve the computational efficiency. We previously proposed a quite straightforward preprocessing approach for accelerating 2D convex hull computation on the GPU. In this paper, we extend that algorithm to being used in 3D cases. The basic ideas behind these two preprocessing algorithms are similar: first, several groups of extreme points are found according to the original set of input points and several rotated versions of the input set; then, a convex polyhedron is created using the found extreme points; and finally those interior points locating inside the formed convex polyhedron are discarded. Experimental results show that: when employing the proposed preprocessing algorithm, it achieves the speedups of about 4x on average and 5x to 6x in the best cases over the cases where the proposed approach is not used. In addition, more than 95 percent of the input points can be discarded in most experimental tests. |
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[1] CudaCHPre2D: A straightforward preprocessing approach for accelerating 2D convex hull computations on the GPU, Qin, Jiayu, Mei, Gang, Cuomo, Salvatore, Guo, Sixu, Li, Yixuan, Concurrency and Computation: Practice and Experience, ISSN 1532-0626, Issue 10, Volume 32, 2020.
Digital Object Identifier: 10.1002/cpe.5229 [CrossRef]
[2] A General-Purpose Graphics Processing Unit (GPGPU)-Accelerated Robotic Controller Using a Low Power Mobile Platform, Rizvi, Syed, Cabodi, Gianpiero, Patti, Denis, Gulzar, Muhammad, Journal of Low Power Electronics and Applications, ISSN 2079-9268, Issue 2, Volume 7, 2017.
Digital Object Identifier: 10.3390/jlpea7020010 [CrossRef]
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[4] CudaChain: an alternative algorithm for finding 2D convex hulls on the GPU, Mei, Gang, SpringerPlus, ISSN 2193-1801, Issue 1, Volume 5, 2016.
Digital Object Identifier: 10.1186/s40064-016-2284-4 [CrossRef]
[5] RUN: rational ubiquitous navigation, a model for automated navigation and searching in virtual environments, Raees, Muhammad, Ullah, Sehat, Virtual Reality, ISSN 1359-4338, Issue 2, Volume 25, 2021.
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[6] An evaluation of GPU filters for accelerating the 2D convex hull, Carrasco, Roberto, Ferrada, Héctor, Navarro, Cristóbal A., Hitschfeld, Nancy, Journal of Parallel and Distributed Computing, ISSN 0743-7315, Issue , 2024.
Digital Object Identifier: 10.1016/j.jpdc.2023.104793 [CrossRef]
[7] Virtual Hippocampus: A Model for Augmenting the Learning Capability of Avatar in Virtual Environments, Alzahrani, Abdulrahman, 2024 4th International Conference on Computer Communication and Information Systems (CCCIS), ISBN 979-8-3503-8954-8, 2024.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
