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  • 标题:Parallel Query Processing on 2D Mesh and Linear Array Architectures
  • 本地全文:下载
  • 作者:Amal Elsayed Aboutabl
  • 期刊名称:Computer Engineering and Intelligent Systems
  • 印刷版ISSN:2222-1727
  • 电子版ISSN:2222-2863
  • 出版年度:2013
  • 卷号:4
  • 期号:13
  • 页码:55-64
  • 语种:English
  • 出版社:International Institute for Science, Technology Education
  • 摘要:As the size of the web grows, it is necessary to parallelize the process of retrieving information from the web. Incorporating parallelism in search engines is one of the approaches towards achieving this aim. This paper presents an algorithm for query processing on the 2D mesh architecture and two algorithms for linear array architectures. We attempt to exploit the arrangement of processors and the communication pattern in both 2D mesh and linear array architectures to attain high speedup and efficiency for queries-keywords comparisons. A cost model is presented for each algorithm based on both processing and communication cost. Proposed algorithms are evaluated using speedup and efficiency performance metrics. For the same number of processors, 2D Mesh_QP outperforms both linear array algorithms (LA_QPAKP and LA_QPKE).
  • 关键词:comparisons. A cost model is presented for each algorithm based on both processing and communication cost. Proposed algorithms are evaluated using speedup and efficiency performance metrics. For the same number of processors; 2D Mesh_QP outperforms both linear array algorithms (LA_QPAKP and LA_QPKE). Keywords 2D Mesh; Linear Arrays; Parallel computing; Query processing
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