Paper Abstract and Keywords |
Presentation |
2017-11-19 15:00
[Poster Presentation]
GPU Applications with Single Kernel Synchronization Technique Shunji Funasaka, Koji Nakano, Yasuaki Ito (Hiroshima Univ.) CPSY2017-56 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A task array is a 2-dimensional array of tasks with dependency relations.
Conventional CUDA implementations repeatedly perform a separated CUDA kernel
call to synchronize the computation for tasks.
The main contribution of this paper is to introduce task arrays and to present Single Kernel Soft Synchronization (SKSS) technique
that significantly reduces the overheads of conventional implementation for task arrays.
To clarify the potentiality of our SKSS technique, we have implemented the dynamic programming for the 0-1 knapsack problem,
the summed area table computation, and the error diffusion using our SKSS technique
and compared with previously published best GPU implementations.
Quite surprisingly, the experimental results using NVIDIA Titan X show that, our SKSS implementations are 1.29-2.11 times faster for the 0-1 knapsack problem,
1.08-1.56 times faster for the summed area table computation, and 1.61-2.11 times faster for the error diffusion. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
parallel algorithms / GPGPU / Dynamic programming / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 314, CPSY2017-56, pp. 33-38, Nov. 2017. |
Paper # |
CPSY2017-56 |
Date of Issue |
2017-11-12 (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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CPSY2017-56 |
Conference Information |
Committee |
CPSY |
Conference Date |
2017-11-19 - 2017-11-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Aomori Tourist Information Center, ASPAM |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Emerging Computer Systems Exhibition |
Paper Information |
Registration To |
CPSY |
Conference Code |
2017-11-CPSY |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
GPU Applications with Single Kernel Synchronization Technique |
Sub Title (in English) |
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parallel algorithms |
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GPGPU |
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Dynamic programming |
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1st Author's Name |
Shunji Funasaka |
1st Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
2nd Author's Name |
Koji Nakano |
2nd Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
3rd Author's Name |
Yasuaki Ito |
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Hiroshima University (Hiroshima Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-11-19 15:00:00 |
Presentation Time |
120 minutes |
Registration for |
CPSY |
Paper # |
CPSY2017-56 |
Volume (vol) |
vol.117 |
Number (no) |
no.314 |
Page |
pp.33-38 |
#Pages |
6 |
Date of Issue |
2017-11-12 (CPSY) |
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