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Clustering and presorting for parallel burrows wheeler-based compression
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作者 Sergey Voronin Eugene Borovikov Raqibul Hasan 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2021年第6期75-88,共14页
We describe practical improvements for parallel BWT-based lossless compressors frequently utilized in modern day big data applications.We propose a clustering-based data permutation approach for improving compression... We describe practical improvements for parallel BWT-based lossless compressors frequently utilized in modern day big data applications.We propose a clustering-based data permutation approach for improving compression ratio for data with significant alphabet variation along with a faster string sorting approach based on the application of the O(n)complexity counting sort with permutation reindexing. 展开更多
关键词 lossless data compression Burrows–Wheeler transform data permutation fast string sorting
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