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中文摘要：
本文提出了一种HKD-tree（Hybrid K-Dimensional tree）混合索引结构.该结构将KD-tree（K-Dimensional tree）和LSH（Locality Sensitive Hashing）两种索引结构进行组合,利用KD-tree作为上层结构的主干而LSH充当叶子节点,从而可以利用多核机群系统的层次并行结构特性.与传统的索引结构相比,该混合索引结构具有高效并行处理、可扩展性好等特点,适于多核机群系统平台及高维数据索引.实验结果表明,该混合索引结构在多核机群系统上的性能优于传统的索引结构.
英文摘要：
We present a hybrid-index structure for high-dimensional data which named HKD-tree（Hybrid K-Dimensional Tree）.To make use of two-level parallelization of multi-core clusters,we combined with KD-tree and LSH,which uses LSH in the leaf nodes of KD-tree.Compared with the traditional index structure,the hybrid index structure has effective parallel processing ability and good scalability,which is suitable for the multi-core cluster platform and high-dimensional data indexing.The experiment results show that the performance of the hybrid index structure is superior to the traditional index structure on the multi-core cluster systems.
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