Paper Abstract and Keywords |
Presentation |
2017-07-26 10:45
A GPU Implementation of Computing the Voronoi Map and the Euclidean Distance Map Hiroaki Honda, Takumi Honda, Shinnosuke Yamamoto, Koji Nakano, Yasuaki Ito (Hiroshima Univ.) CPSY2017-18 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The main contribution of this paper is to present simple and fast parallel algorithms for computing complete/connected Voronoi map and the Euclidean distance map and implement them in the GPU. Our parallel algorithm first computes the mixed Voronoi map, which is a mixture of complete/connected Voronoi maps, and then converts it into the complete/connected Voronoi map. After that, the complete Voronoi map is converted into Euclidean distance map in obvious way. We have implemented on GeForce GTX1080. The throughput of our GPU implementation for computing the Euclidean distance maps of $2Ktimes2K$ binary images is up to 2.08 times larger than previously published best GPU implementation, and up to 172 times larger than CPU implementation using Intel Core i7-4790. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Voronoi Map / Euclidean distance map / GPU / CUDA / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 153, CPSY2017-18, pp. 13-18, July 2017. |
Paper # |
CPSY2017-18 |
Date of Issue |
2017-07-19 (CPSY) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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CPSY2017-18 |
Conference Information |
Committee |
CPSY DC IPSJ-ARC |
Conference Date |
2017-07-26 - 2017-07-28 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Akita Atorion-Building (Akita) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Parallel, Distributed and Cooperative Processing |
Paper Information |
Registration To |
CPSY |
Conference Code |
2017-07-CPSY-DC-ARC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A GPU Implementation of Computing the Voronoi Map and the Euclidean Distance Map |
Sub Title (in English) |
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Keyword(1) |
Voronoi Map |
Keyword(2) |
Euclidean distance map |
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GPU |
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CUDA |
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1st Author's Name |
Hiroaki Honda |
1st Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
2nd Author's Name |
Takumi Honda |
2nd Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
3rd Author's Name |
Shinnosuke Yamamoto |
3rd Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
4th Author's Name |
Koji Nakano |
4th Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
5th Author's Name |
Yasuaki Ito |
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Hiroshima University (Hiroshima Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-07-26 10:45:00 |
Presentation Time |
30 minutes |
Registration for |
CPSY |
Paper # |
CPSY2017-18 |
Volume (vol) |
vol.117 |
Number (no) |
no.153 |
Page |
pp.13-18 |
#Pages |
6 |
Date of Issue |
2017-07-19 (CPSY) |
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