Analysis of parallelization effects on textual data compression

Authors:
Goran Martinovic;Caslav Livada;Drago Zagar
Affiliations:
Faculty of Electrical Engineering, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia;Faculty of Electrical Engineering, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia;Faculty of Electrical Engineering, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
Venue:
ICAI'10 Proceedings of the 11th WSEAS international conference on Automation & information
Year:
2010

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Abstract

This article deals with the problem of textual data compression speed up by dividing a bigger file into smaller ones which are simultaneously compressed. This procedure is called parallel computing and this experiment uses a processor with four cores. Parallel processing is applied on five different algorithms, two of these are entropy coders and others are dictionary coders. Algorithms are mutually compared by speed and performance depending on the number of cores used.