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FPGA-accelerated information retrieval: high-efficiency document filtering

By W. Vanderbauwhede, L. Azzopardi and M. Moadeli

Abstract

Power consumption in data centres is a growing issue as the cost of the power for computation and cooling has become dominant. An emerging challenge is the development of ldquoenvironmentally friendlyrdquo systems. In this paper we present a novel application of FPGAs for the acceleration of information retrieval algorithms, specifically, filtering streams/collections of documents against topic profiles. Our results show that FPGA acceleration can result in speed-ups of up to a factor 20 for large profiles

Publisher: IEEE Computer Society
Year: 2009
OAI identifier: oai:eprints.gla.ac.uk:40009
Provided by: Enlighten

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Citations

  1. (2007). In the data center, power and cooling costs more than the IT equipment it supports,”
  2. (1992). Information filtering and information retrieval: two sides of the same coin?” doi
  3. (2007). Mitrion-C application development on SGI Altix doi
  4. (1999). Modern Information Retrieval. doi
  5. (2005). Montecito: A dual-core, dualthread itanium processor,” doi
  6. (2001). Relevance based language models,” doi
  7. (1970). Space/time trade-offs in hash coding with allowable errors,” doi

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