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Parallel Computation for the All-Pairs Suffix-Prefix Problem

机译:全对后缀前缀问题的并行计算

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We show how to parallelize the optimal algorithm proposed by Tustumi et al. [19] to solve the all-pairs suffix-prefix matching problem for general alphabets. We compared our parallel algorithm with SOF [17], a practical solution for DNA sequences that exhibits good time and space performance in multithreading environments. The experimental results showed that our parallel algorithm achieves a consistent speedup when compared with the sequential algorithm, and it is competitive with SOF when the minimum overlap length is small.
机译:我们展示了如何并行化Tustumi等人提出的最优算法。 [19]解决了通用字母的全对后缀-前缀匹配问题。我们将并行算法与SOF [17]进行了比较,SOF是一种实用的DNA序列解决方案,在多线程环境中表现出良好的时间和空间性能。实验结果表明,与顺序算法相比,我们的并行算法实现了一致的加速,并且当最小重叠长度小时,它与SOF相比具有竞争优势。

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