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Published in Chapter:
Parallel Architectures for MEDLINE Search
Rajendra V. Boppana (University of Texas at San Antonio, USA), Suresh Chalasani (University of Wisconsin-Parkside, USA), Bob Badgett (University of Texas Health Science Center at San Antonio, USA), and Jacqueline A. Pugh (University of Texas Health Science Center at San Antonio, USA)
Copyright: © 2008 |Pages: 8
DOI: 10.4018/978-1-59904-889-5.ch130
Abstract
In this article, we describe a parallel architecture for MEDLINE database integrated with search refinement tools to facilitate accurate and fast response to search requests by users. The proposed architecture, to be developed by the authors, will use low-cost, high-performance computing clusters consisting of Linux based personal computers and workstations (i) to provide subsecond response times for individual searches and (ii) to support several concurrent queries from search refinement programs such as SUMSearch.
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