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Paper Abstract and Keywords
Presentation 2016-10-06 10:00
[Poster Presentation] A Loss-Less Data Compression Algorithm for GPUs
Shunji Funasaka, Koji Nakano, Yasuaki Ito (Hiroshima Univ.) CPSY2016-46
Abstract (in Japanese) (See Japanese page) 
(in English) There is no doubt that data compression is very important in computer engineering. However, most lossless data compression and decompression algorithms are very hard to parallelize, because they use dictionaries updated sequentially. The main contribution of this paper is to present a new lossless data compression method that we call CUDA Loss-Less (CULL) compression. It is designed so that decompression can be highly parallelized and run very efficiently on the GPU. This makes sense for many applications in which compressed data is read and decompressed many times and decompression performed more frequently than compression. We show optimal sequential and parallel algorithms for CULL decompression and implement them to run on Core~i7-4790 CPU and GeForce GTX~1080 GPU, respectively. To show the potentiality of CULL compression method, we have evaluated the running time using five images and compared with well-known compression methods LZW and LZSS. Our GPU implementation of CULL decompression runs 91.1-176 times faster than the CPU implementation. Also, the running time on the GPU of our experiments show that CULL decompression is 2.49-9.13 times faster than LZW decompression and 4.30-14.1 times faster that LZSS decompression, although their compression ratios are comparable.
Keyword (in Japanese) (See Japanese page) 
(in English) data compression / parallel algorithms / GPGPU / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 240, CPSY2016-46, pp. 19-24, Oct. 2016.
Paper # CPSY2016-46 
Date of Issue 2016-09-29 (CPSY) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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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Conference Information
Committee CPSY IPSJ-ARC  
Conference Date 2016-10-06 - 2016-10-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Makuhari-messe 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Emerging Computer Systems Exhibition 
Paper Information
Registration To CPSY 
Conference Code 2016-10-CPSY-ARC 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Loss-Less Data Compression Algorithm for GPUs 
Sub Title (in English)  
Keyword(1) data compression  
Keyword(2) parallel algorithms  
Keyword(3) GPGPU  
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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  
3rd Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-1 
Date Time 2016-10-06 10:00:00 
Presentation Time 360 minutes 
Registration for CPSY 
Paper # CPSY2016-46 
Volume (vol) vol.116 
Number (no) no.240 
Page pp.19-24 
#Pages
Date of Issue 2016-09-29 (CPSY) 


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