FPGA-accelerated information retrieval: high-efficiency document filtering

W. Vanderbauwhede; L. Azzopardi; M. Moadeli

doi:10.1109/FPL.2009.5272246

FPGA-accelerated information retrieval: high-efficiency document filtering

W. Vanderbauwhede^*, L. Azzopardi, M. Moadeli

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

11 Citations (Scopus)

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 "environmentally friendly" 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.

Original language	English
Title of host publication	FPL 09
Subtitle of host publication	19th International Conference on Field Programmable Logic and Applications
Publisher	IEEE
Pages	417-422
Number of pages	6
ISBN (Print)	9781424438921
DOIs	https://doi.org/10.1109/FPL.2009.5272246
Publication status	Published - 25 Nov 2009
Event	FPL 09: 19th International Conference on Field Programmable Logic and Applications - Prague, Czech Republic Duration: 31 Aug 2009 → 2 Sept 2009

Conference

Conference	FPL 09: 19th International Conference on Field Programmable Logic and Applications
Country/Territory	Czech Republic
City	Prague
Period	31/08/09 → 2/09/09

Keywords

information retrieval
information filtering
information filters
field programmable gate arrays
filtering algorithms
computer centres
document handling

Access to Document

10.1109/FPL.2009.5272246

Cite this

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title = "FPGA-accelerated information retrieval: high-efficiency document filtering",

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 {"}environmentally friendly{"} 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.",

keywords = "information retrieval, information filtering, information filters, field programmable gate arrays, filtering algorithms, computer centres, document handling",

author = "W. Vanderbauwhede and L. Azzopardi and M. Moadeli",

year = "2009",

month = nov,

day = "25",

doi = "10.1109/FPL.2009.5272246",

language = "English",

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pages = "417--422",

booktitle = "FPL 09",

publisher = "IEEE",

note = "FPL 09: 19th International Conference on Field Programmable Logic and Applications ; Conference date: 31-08-2009 Through 02-09-2009",

}

Vanderbauwhede, W, Azzopardi, L & Moadeli, M 2009, FPGA-accelerated information retrieval: high-efficiency document filtering. in FPL 09: 19th International Conference on Field Programmable Logic and Applications., 5272246, IEEE, pp. 417-422, FPL 09: 19th International Conference on Field Programmable Logic and Applications, Prague, Czech Republic, 31/08/09. https://doi.org/10.1109/FPL.2009.5272246

TY - GEN

T1 - FPGA-accelerated information retrieval

T2 - FPL 09: 19th International Conference on Field Programmable Logic and Applications

AU - Vanderbauwhede, W.

AU - Azzopardi, L.

AU - Moadeli, M.

PY - 2009/11/25

Y1 - 2009/11/25

N2 - 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 "environmentally friendly" 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.

AB - 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 "environmentally friendly" 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.

KW - information retrieval

KW - information filtering

KW - information filters

KW - field programmable gate arrays

KW - filtering algorithms

KW - computer centres

KW - document handling

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U2 - 10.1109/FPL.2009.5272246

DO - 10.1109/FPL.2009.5272246

M3 - Conference contribution book

AN - SCOPUS:70449752096

SN - 9781424438921

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EP - 422

BT - FPL 09

PB - IEEE

Y2 - 31 August 2009 through 2 September 2009

ER -

FPGA-accelerated information retrieval: high-efficiency document filtering

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