Title of article
Parallel Lempel Ziv coding Original Research Article
Author/Authors
Shmuel Tomi Klein، نويسنده , , Yair Wiseman، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2005
Pages
12
From page
180
To page
191
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.
Keywords
Data compression , Parallel algorithms , Lempel–Ziv algorithms
Journal title
Discrete Applied Mathematics
Serial Year
2005
Journal title
Discrete Applied Mathematics
Record number
886051
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