1. 中国科学技术大学计算机学院,安徽,合肥,230026
2. 安徽省高性能计算重点实验室,安徽,合肥,230026
3. 中国科学技术大学计算机学院,安徽,合肥,230026
4. 安徽省高性能计算重点实验室,安徽,合肥,230026
纸质出版:2011
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龙柏, 孙广中, 熊焰, 等. 一种基于多核机群架构的混合索引结构[J]. 电子学报, 2011,39(2):275-279.
LONG Bai, SUN Guang-zhong, XIONG Yan, et al. A Hybrid Index Structure Based on Multi-Core Cluster[J]. Acta Electronica Sinica, 2011, 39(2): 275-279.
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.
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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