FPGAaccelerated Information Retrieval: High-efficiency document filtering
| Title: | FPGAaccelerated Information Retrieval: High-efficiency document filtering |
|---|---|
| Authors: | L. Azzopardi; M. Moadeli |
| Contributors: | The Pennsylvania State University CiteSeerX Archives |
| Source: | http://www.dcs.gla.ac.uk/%7Ewim/SoC/FPL09-Vanderbauwhede.pdf. |
| Collection: | CiteSeerX |
| Description: | Power consumption in data centres is a growing issue as the cost of the power for computation and cooling has be-come 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. 1. |
| Document Type: | text |
| File Description: | application/pdf |
| Language: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.682.342 |
| Availability: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.682.342; http://www.dcs.gla.ac.uk/%7Ewim/SoC/FPL09-Vanderbauwhede.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Accession Number: | edsbas.3CFE24F9 |
| Database: | BASE |