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21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)
An Investigation of Chip-Level Hardware Support for Web Mining
Niagara Falls, Ontario, Canada
May 21-May 23
ISBN: 0-7695-2847-3
| ASCII Text | x | ||
| Kin Fun Li, Darshika G. Perera, "An Investigation of Chip-Level Hardware Support for Web Mining," Advanced Information Networking and Applications Workshops, International Conference on, vol. 1, pp. 341-348, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/AINAW.2007.88, author = {Kin Fun Li and Darshika G. Perera}, title = {An Investigation of Chip-Level Hardware Support for Web Mining}, journal ={Advanced Information Networking and Applications Workshops, International Conference on}, volume = {1}, year = {2007}, isbn = {0-7695-2847-3}, pages = {341-348}, doi = {http://doi.ieeecomputersociety.org/10.1109/AINAW.2007.88}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Advanced Information Networking and Applications Workshops, International Conference on TI - An Investigation of Chip-Level Hardware Support for Web Mining SN - 0-7695-2847-3 SP341 EP348 A1 - Kin Fun Li, A1 - Darshika G. Perera, PY - 2007 KW - web mining; hardware acceleration; cosine similarity; platform-based design VL - 1 JA - Advanced Information Networking and Applications Workshops, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINAW.2007.88
In this work, we investigate the use of hardware at the chip level to support some fundamental web mining operations. Both software and hardware versions of the same operators are implemented on Field Programmable Gate Arrays (FPGAs). The software versions are executed on a soft IP core on the same FPGA chip as the hardware implementation, ensuring their fair performance comparison. The hardware operators are structured hierarchically following the bottom-up and platform-based design strategies. These design approaches provide the opportunity to measure the performance of the respective hardware and software operators at various levels of abstraction. Our proof of concept investigation has shown that with the proper system-level design strategies, there is a tremendous potential in hardware support at the chip level for information retrieval and web mining operations.
Index Terms:
web mining; hardware acceleration; cosine similarity; platform-based design
Citation:
Kin Fun Li, Darshika G. Perera, "An Investigation of Chip-Level Hardware Support for Web Mining," ainaw, vol. 1, pp.341-348, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007
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