loading...
An Investigation of Chip-Level Hardware Support for Web Mining
Niagara Falls, Ontario, Canada May 21-May 23
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINAW.2007.8821st International Conference on Adva ...
 This Article 
 
PDF
HTML
IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Kin Fun Li, University of Victoria, Canada
Darshika G. Perera, University of Victoria, Canada
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
Usage of this product signifies your acceptance of the Terms of Use.