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  • 标题:Solutions for Optimizing the Relational JOIN Operator using the Compute Unified Device Architecture
  • 本地全文:下载
  • 作者:Alexandru PIRJAN
  • 期刊名称:Database Systems Journal
  • 电子版ISSN:2069-3230
  • 出版年度:2016
  • 卷号:VII
  • 期号:3
  • 页码:3-13
  • 出版社:Bucharest Academy of Economic Studies Publishing House
  • 摘要:In this paper it is implemented the inner JOIN operator in the latest Pascal Compute Unified Device Architecture (CUDA), using two approaches developed in the CUDA Toolkit 8.0: a classical approach in which a thread selects one element from the first table and performs a binary search for the corresponding keys residing in the second table; a second approach that makes use of the dynamic parallelism feature of the Pascal architecture to solve the problem of task processing unbalance that may occur when the number of corresponding elements is different along the threads. The Compute Unified Device Architecture dynamic parallelism feature is used to invoke a supplementary kernel function in order to build in parallel the final output set of elements.
  • 关键词:CUDA; Pascal architecture; Dynamic Parallelism; GPU; inner JOIN operator
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