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Space-Efficient Parallel Construction of Succinct Representations of Suffix Tree Topologies

机译:后缀树拓扑的简洁表示的节省空间的并行构造

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A compressed suffix tree usually consists of three components: a compressed suffix array, a compressedrnLCP-array, and a succinct representation of the suffix tree topology. There are parallel algorithms thatrnconstruct the suffix array and the LCP-array, but none for the third component. In this article, we presentrnparallel algorithms on shared memory architectures that construct the balanced parentheses sequencern(BPS), an explicit succinct representation of the suffix tree topology, as well as the enhanced balancedrnparentheses representation (eBPR), an implicit succinct representation of the suffix tree topology. For bothrnrepresentations, this article presents a sequential construction algorithm (a new one for the BPS), a linearrnwork and O(log n) time parallel construction algorithm, and a heuristic parallel construction algorithm thatrnworks very well in practice. The experimental results show that our methods are well suited for real-worldrnapplications.
机译:压缩后缀树通常由三个组件组成:压缩后缀数组,压缩后的LCP数组和后缀树拓扑的简洁表示。有并行算法可以构造后缀数组和LCP数组,但对于第三个组件则没有。在本文中,我们介绍了在共享内存体系结构上的并行算法,该算法构造了平衡括号序列(BPS),后缀树拓扑的显式简洁表示形式,以及增强的平衡括号(eBPR),后缀树的隐式简洁表示形式拓扑。对于这两种表示形式,本文都介绍了一种顺序构造算法(一种针对BPS的新算法),一种线性工作和O(log n)时间并行构造算法,以及一种在实践中效果很好的启发式并行构造算法。实验结果表明,我们的方法非常适合实际应用。

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