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A parallel distributive join algorithm for cube-connected multiprocessors

机译:多维数据集连接的多处理器的并行分布式联接算法

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摘要

This paper presents a parallel distributive join algorithm for cube-connected multiprocessors. The performance analysis shows that the proposed algorithm has an almost linear speedup over the sequential distributive join algorithm as the number of processors increases, and its performance is comparable to that of the parallel hybrid-hash join algorithm. A big advantage of the proposed algorithm over hash-based join algorithms is that it does not have the bucket overflow problem caused by nonuniform hashing of the smaller operand relation. Moreover, the proposed algorithm can easily support the nonequijoin operation, which is very hard to implement by using hash-based join algorithms.
机译:本文提出了一种用于多维数据集连接的多处理器的并行分布式联接算法。性能分析表明,随着处理器数量的增加,所提出的算法与顺序分布式联接算法相比具有几乎线性的加速,其性能与并行混合哈希联接算法相当。与基于散列的连接算法相比,所提算法的一大优势在于它不存在由较小操作数关系的非均匀散列引起的存储桶溢出问题。此外,所提出的算法可以容易地支持非等联接运算,这很难通过使用基于散列的联接算法来实现。

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