Parallel algorithms for optimal compression using dictionaries with the prefix property

S. Agostino, J. Storer
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引用次数: 32

Abstract

The authors study parallel algorithms for lossless data compression via textual substitution. Dynamic dictionary compression is known to be P-complete, however, if the dictionary is given in advance, they show that compression can be efficiently parallelized and a computational advantage is obtained when the dictionary has the prefix property. The approach can be generalized to the sliding window method where the dictionary is a window that passes continuously from left to right over the input string.<>
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使用具有前缀属性的字典进行最佳压缩的并行算法
作者研究了基于文本替换的并行数据无损压缩算法。动态字典压缩是p完备的,但是,如果提前给出字典,它们表明压缩可以有效地并行化,并且当字典具有前缀属性时,可以获得计算优势。该方法可以推广到滑动窗口方法,其中字典是一个从左到右连续传递输入字符串的窗口
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Lossless interframe compression of medical images Coding for compression in full-text retrieval systems A comparison of codebook generation techniques for vector quantization Progressive vector quantization of multispectral image data using a massively parallel SIMD machine Parallel algorithms for optimal compression using dictionaries with the prefix property
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