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- W189391259 abstract "In this paper we present efficient, scalable and portable parallel algorithms written in the Coarse-Grained Multicomputer (CGM) and the Bulk Synchronous Parallel (BSP) models for the off-line clustering, the on-line retrieval and the update phases of the text retrieval problem based on the vector space model and using clustering to organize and handle a dynamic document collection. To the best of our knowledge, our parallel retrieval algorithms are the first ones analyzed under specific parallel models, which capture within a few parameters the characteristics of the parallel machine." @default.
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- W189391259 date "2005-01-01" @default.
- W189391259 modified "2023-09-26" @default.
- W189391259 title "Efficient BSP/CGM Algorithms for Text Retrieval." @default.
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