静态字典压缩的并行算法

H. Nagumo, Mi Lu, K. Watson
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引用次数: 20

摘要

研究了两种静态字典压缩策略的并行算法。一种是使用具有前缀属性的字典进行最佳字典压缩,为此我们的算法需要O(L+log n)时间和O(n)个处理器,其中L是字典条目的最大允许长度,而以前的结果使用O(n/sup 2/)处理器在O(L+log n)时间内运行,或者使用O(n)个处理器在O(L+log 2/n)时间内运行。另一种算法是最长片段优先(LFF)字典压缩,我们的算法需要O(L+log n)个时间和O(nL)个处理器,而之前的结果在O(n/log n)个处理器上具有O(L log n)个时间性能。我们还证明了顺序LFF字典压缩可以在线计算,其前瞻长度为0 (L/sup 2/)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel algorithms for the static dictionary compression
Studies parallel algorithms for two static dictionary compression strategies. One is the optimal dictionary compression with dictionaries that have the prefix property, for which our algorithm requires O(L+log n) time and O(n) processors, where L is the maximum allowable length of the dictionary entries, while previous results run in O(L+log n) time using O(n/sup 2/) processors, or in O(L+log/sup 2/n) time using O(n) processors. The other algorithm is the longest-fragment-first (LFF) dictionary compression, for which our algorithm requires O(L+log n) time and O(nL) processors, while the previous result has O(L log n) time performance on O(n/log n) processors. We also show that the sequential LFF dictionary compression can be computed online with a lookahead of length O(L/sup 2/).
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