| Parallel text searching in serial files using a processor farm |
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Annual ACM Conference on Research and Development in Information Retrieval
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Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
table of contents
Brussels, Belgium
Pages: 429 - 453
Year of Publication: 1989
ISBN:0-89791-408-2
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Authors
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J. K. Cringean
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Departments of Information Studies, University of Sheffield, Western Bank, Sheffield S10 2TN, U.K.
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R. England
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National Transputer Support Centre, Sheffield Science Park, Arundel Street, Sheffield S1 2NS, U.K.
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G. A. Manson
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Computer Science, University of Sheffield, Western Bank, Sheffield S10 2TN, U.K.
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P. Willett
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Departments of Information Studies, University of Sheffield, Western Bank, Sheffield S10 2TN, U.K.
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Downloads (6 Weeks): 4, Downloads (12 Months): 23, Citation Count: 10
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ABSTRACT
This paper discusses the implementation of a parallel text retrieval system using a microprocessor network. The system is designed to allow fast searching in document databases organised using the serial file structure, with a very rapid initial text signature search being followed by a more detailed, but more time-consuming, pattern matching search. The network is built from transputers, high performance microprocessors developed specifically for the construction of highly parallel computing systems, which are linked together in a processor farm. The paper discusses the design and implementation of processor farms, and then reports our initial studies of the efficiency of searching that can be achieved using this approach to text retrieval from serial files.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 10
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P. Efraimidis , C. Glymidakis , B. Mamalis , P. Spirakis , B. Tampakas, Parallel text retrieval on a high performance supercomputer using the Vector Space Model, Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, p.58-66, July 09-13, 1995, Seattle, Washington, United States
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