DocumentCode :
1845157
Title :
Optimizing LZW text compression algorithm via multithreading programming
Author :
Tan, Ling Sun ; Lau, Sei Ping ; Tan, Chong Eng
Author_Institution :
Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
fYear :
2009
fDate :
15-17 Dec. 2009
Firstpage :
592
Lastpage :
596
Abstract :
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.
Keywords :
data compression; multi-threading; multimedia computing; text analysis; LZW text compression algorithm; Lempel-Ziv-Welch algorithm; multicore processor machine; multithreaded compression algorithm; multithreading programming; Compression algorithms; Data compression; Dictionaries; Image coding; Multicore processing; Multithreading; Space technology; Throughput; Video compression; Yarn; multithreaded programming; parallel; text compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (MICC), 2009 IEEE 9th Malaysia International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5531-7
Type :
conf
DOI :
10.1109/MICC.2009.5431427
Filename :
5431427
Link To Document :
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