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Optimizing LZW text compression algorithm via multithreading programming

Due to the emerging multimedia technology, multimedia files such as text, image, audio and video files are widely used. These multimedia files take hundreds time more space as compared to early day's media files. Thus, demand for efficient compression algorithm is in great needs. Currently, a l...

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Main Authors: Tan, C.E, Tan, L.S, Lau, S.P
Format: E-Article
Language:English
Published: IEEE 2009
Subjects:
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/18500/1/05431427%20%28abstrak%29.pdf
http://ir.unimas.my/id/eprint/18500/
http://ieeexplore.ieee.org/document/5431427/
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id my.unimas.ir.18500
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spelling my.unimas.ir.185002017-11-13T06:58:19Z http://ir.unimas.my/id/eprint/18500/ Optimizing LZW text compression algorithm via multithreading programming Tan, C.E Tan, L.S Lau, S.P T Technology (General) Due to the emerging multimedia technology, multimedia files such as text, image, audio and video files are widely used. These multimedia files take hundreds time more space as compared to early day's media files. Thus, demand for efficient compression algorithm is in great needs. Currently, a lot of general purpose multi-core processor machines and systems are widely available. However, many compression algorithms have not been taking advantage of being optimized for these processors. This paper explores the multithreaded compression algorithm to take advantages offered by multi-core processor IEEE 2009-12 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/18500/1/05431427%20%28abstrak%29.pdf Tan, C.E and Tan, L.S and Lau, S.P (2009) Optimizing LZW text compression algorithm via multithreading programming. Proceedings - MICC 2009: 2009 IEEE 9th Malaysia International Conference on Communications with a Special Workshop on Digital TV Contents. pp. 592-596. ISSN 978-142445532-4 http://ieeexplore.ieee.org/document/5431427/ DOI: 10.1109/MICC.2009.5431427
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Tan, C.E
Tan, L.S
Lau, S.P
Optimizing LZW text compression algorithm via multithreading programming
description Due to the emerging multimedia technology, multimedia files such as text, image, audio and video files are widely used. These multimedia files take hundreds time more space as compared to early day's media files. Thus, demand for efficient compression algorithm is in great needs. Currently, a lot of general purpose multi-core processor machines and systems are widely available. However, many compression algorithms have not been taking advantage of being optimized for these processors. This paper explores the multithreaded compression algorithm to take advantages offered by multi-core processor
format E-Article
author Tan, C.E
Tan, L.S
Lau, S.P
author_facet Tan, C.E
Tan, L.S
Lau, S.P
author_sort Tan, C.E
title Optimizing LZW text compression algorithm via multithreading programming
title_short Optimizing LZW text compression algorithm via multithreading programming
title_full Optimizing LZW text compression algorithm via multithreading programming
title_fullStr Optimizing LZW text compression algorithm via multithreading programming
title_full_unstemmed Optimizing LZW text compression algorithm via multithreading programming
title_sort optimizing lzw text compression algorithm via multithreading programming
publisher IEEE
publishDate 2009
url http://ir.unimas.my/id/eprint/18500/1/05431427%20%28abstrak%29.pdf
http://ir.unimas.my/id/eprint/18500/
http://ieeexplore.ieee.org/document/5431427/
_version_ 1644512871543996416
score 13.211869

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