Performance of the pipelined hash-join algorithm in a heterogeneous distributed environment

Z. S. Khan
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引用次数: 0

Abstract

A pipelined distributed parallel hash-join algorithm is executed in a distributed heterogeneous supercomputing environment which consists of the Connection Machine CM2, and the Cray C90. This algorithm implements the computationally intensive join operation of relational databases. The hash and join phases of the algorithm are executed on the architectures determined to be best suited for them. The hash phase of the algorithm is implemented on the Cray C90. The hashed data sets of the first join relation are transmitted from the Cray to the CM2. A pipeline is established between the two machines as the Cray continues to hash each page of the second join relation and transmits it to the CM2 where the join is performed. Limited improvements in performance of the pipelined algorithm for different combinations of data sizes, data distributions, and join sizes is analyzed and the limitations of the distributed environment are discussed.
异构分布式环境下管道散列连接算法的性能
在由Connection Machine CM2和Cray C90组成的分布式异构超级计算环境中,执行了一种流水线分布式并行哈希连接算法。该算法实现了计算密集型的关系数据库连接操作。算法的散列和连接阶段在确定为最适合它们的体系结构上执行。该算法的哈希阶段在Cray C90上实现。第一个连接关系的散列数据集从Cray传输到CM2。当Cray继续散列第二个连接关系的每个页面并将其传输到执行连接的CM2时,在两台机器之间建立了一个管道。分析了流水线算法在不同数据大小、数据分布和连接大小组合下的有限性能改进,并讨论了分布式环境的局限性。
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