Parallelization of an XML data compressor on multi-cores

Authors:
Tomasz Müldner;Christopher Fry;Tyler Corbin;Jan Krzysztof Miziołek
Affiliations:
Jodrey School of Computer Science, Acadia University, Wolfville, NS, Canada;Jodrey School of Computer Science, Acadia University, Wolfville, NS, Canada;Jodrey School of Computer Science, Acadia University, Wolfville, NS, Canada;IBI AL, University of Warsaw, Warsaw, Poland
Venue:
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part II
Year:
2011

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Abstract

Because of a growing interest in using XML for massive complex data there has been considerable research on designing XML compressors. This paper presents our research aimed at building parallel XML compressors, using Java and OpenMP (with C++). Our findings show that OpenMP is a preferred choice achieving better results than Java using a multi-core platform.