Parallel Text Retrieval on a High Performance Super Computer Using the Vector Space Model.

Pavlos Efraimidis, Christos Glymidakis, Basilis Mamalis, Paul G. Spirakis, Basil Tampakas: Parallel Text Retrieval on a High Performance Super Computer Using the Vector Space Model. SIGIR 1995: 58-66

@inproceedings{DBLP:conf/sigir/EfraimidisGMST95,
  author    = {Pavlos Efraimidis and
               Christos Glymidakis and
               Basilis Mamalis and
               Paul G. Spirakis and
               Basil Tampakas},
  editor    = {Edward A. Fox and
               Peter Ingwersen and
               Raya Fidel},
  title     = {Parallel Text Retrieval on a High Performance Super Computer
               Using the Vector Space Model},
  booktitle = {SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval.
                Seattle, Washington, USA, July 9-13, 1995 (Special Issue of
               the SIGIR Forum)},
  publisher = {ACM Press},
  year      = {1995},
  isbn      = {0-89791-714-6},
  pages     = {58-66},
  ee        = {db/conf/sigir/EfraimidisGMST95.html},
  crossref  = {DBLP:conf/sigir/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

This paper discusses the efficiency of a parallel text retrieval system that is based on the Vector Space Model. Specifically, we describe a general parallel retrieval algorithm for use with this model, the application of the algorithm in the FIRE system [1], and its implementation on the high performance GCel3/512 Parsytec parallel machine [2]. The use of this machine's two-dimensional grid of processors provides an efficient baais for the virtual tree that lies at the heart of our retrieval algorithm. Analytical and experimental evidence is presented to demonstrate the efficiency of the algorithm.

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BibTeX

Printed Edition

Edward A. Fox, Peter Ingwersen, Raya Fidel (Eds.): SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Seattle, Washington, USA, July 9-13, 1995 (Special Issue of the SIGIR Forum). ACM Press 1995, ISBN 0-89791-714-6
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Referenced by

Ophir Frieder, Hava T. Siegelmann: Multiprocessor Document Allocation: A Genetic Algorithm Approach. IEEE Trans. Knowl. Data Eng. 9(4): 640-642(1997)

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