Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10328718 | Discrete Applied Mathematics | 2005 | 12 Pages |
Abstract
We explore the possibility of using multiple processors to improve the encoding and decoding times of Lempel-Ziv schemes. A new layout of the processors, based on a full binary tree, is suggested and it is shown how LZSS and LZW can be adapted to take advantage of such parallel architectures. The layout is then generalized to higher order trees. Experimental results show an improvement in compression over the standard method of parallelization and an improvement in time over the sequential method.
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Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Shmuel Tomi Klein, Yair Wiseman,