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Paper Abstract and Keywords
Presentation 2010-11-11 16:20
GPU-Assisted Evolutive Image Predictor Generation
Matthew McCawley, Seishi Takamura, Hirohisa Jozawa (NTT) IE2010-88
Abstract (in Japanese) (See Japanese page) 
(in English) Evolutive Image Coding has shown promising results in efficiency compared to other lossless coding methods, but until now, the processing power required for the fitness evaluation has limited its usefulness outside of large computer clusters. Using the CUDA programming language on comparatively inexpensive NVIDIA graphics cards, we have obtained speed increases of up to 150 times for the fitness evaluation. Some of the techniques we have used to improve performance include utilizing the GPU's fast shared memory whenever possible as well as performing some calculations for which the GPU is not as well suited, such as a histogram-based calculation, on the CPU while the GPU simultaneously calculates the fitness evaluation in order to minimize idle time.
Keyword (in Japanese) (See Japanese page) 
(in English) GPU / CUDA / lossless image coding / genetic programming / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 275, IE2010-88, pp. 25-28, Nov. 2010.
Paper # IE2010-88 
Date of Issue 2010-11-04 (IE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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
Conference Date 2010-11-11 - 2010-11-12 
Place (in Japanese) (See Japanese page) 
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Paper Information
Registration To IE 
Conference Code 2010-11-IE-AIT-BCT-ME 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) GPU-Assisted Evolutive Image Predictor Generation 
Sub Title (in English)  
Keyword(1) GPU  
Keyword(2) CUDA  
Keyword(3) lossless image coding  
Keyword(4) genetic programming  
1st Author's Name Matthew McCawley  
1st Author's Affiliation NTT Corporation (NTT)
2nd Author's Name Seishi Takamura  
2nd Author's Affiliation NTT Corporation (NTT)
3rd Author's Name Hirohisa Jozawa  
3rd Author's Affiliation NTT Corporation (NTT)
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Speaker Author-1 
Date Time 2010-11-11 16:20:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # IE2010-88 
Volume (vol) vol.110 
Number (no) no.275 
Page pp.25-28 
Date of Issue 2010-11-04 (IE) 

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