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PRAM algorithms for static dictionary compression

机译:静态字典压缩的PRAM算法

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Parallel algorithms for lossless data compression via dictionary compression using the longest fragment first (LFF) and greedy parsing strategies are described. Dictionary compression removes redundancy by replacing substrings of the input by references to strings stored in a dictionary. Given a static dictionary stored as a suffix tree, we present PRAM CREW algorithms for LFF compression which run in O(log/sup 2/ n) time with O(n/log n) processors where it is assumed that the maximum dictionary entry is of length O(log n). We also describe a logarithmic time and linear processor algorithm for greedy parsing.
机译:描述了通过使用最长片段(LFF)和贪婪解析策略的字典压缩无损数据压缩的并行算法。通过对存储在字典中存储的字符串的引用来替换输入的子字段,将字典压缩删除冗余。给定存储为后缀树的静态字典,我们为LFF压缩提供了PRAM机组机组人员算法,该算法在O(n / log n)处理器中运行O(log / sup 2 / n)时间,其中假设最大词典条目是长度O(log n)。我们还描述了一种用于贪婪解析的对数时间和线性处理器算法。

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