On-chip hardware support for similarity measures

IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings

Volumn , Issue , 2007, Pages 354-358

  Perera, Darshika G ^a   Kin, Fun Li ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE REUSABILITY; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); HARDWARE; LEARNING SYSTEMS; MINING; MINING ENGINEERING; SIGNAL PROCESSING; SOFTWARE DESIGN;

CHIP-LEVEL; COMPONENT REUSE; FIELD PROGRAMMABLE GATE ARRAY (FPGA); HARDWARE IMPLEMENTATIONS; HARDWARE SUPPORTS; LEVELS OF ABSTRACTION (LOA); ON CHIPS; PACIFIC RIM; PERFOR MANCE COMPARISON; PLATFORM BASED DESIGN (PBD); PROCESSOR CORES; RE-CONFIGURABLE; SIMILARITY MEASURES (SM); SIMILARITY MEASURING; SOFTWARE MODULES; WEB MINING;

COMPUTER HARDWARE;

EID: 47349102783     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACRIM.2007.4313247     Document Type: Conference Paper

References (13)

1. B. West, R.D. Chamberlain, and R.S. Indeck, "An FPGA-based Search Engine for Unstructured Database," The Second Workshop on Application Specific Processors, 2003.
2. E-H. Han, G. Karypis, and V. Kumar, "Scalable Parallel Data Mining for Association Rules," IEEE Transactions on Data and Knowledge Engineering, vol. 12, no. 3, May/June 2000.
3. G. Salton and M.J. McGill, "Introduction to Modern Information Retrieval," McGraw-Hill, New York., 1983.
4. J. Zobel and A. Moffat, "Exploring the Similarity Space," ACM SIGIR Forum, vol. 32, Issue 1, 1998, pp. 18-34.
5. K.F. Li, and D.G. Perera, "An Investigation of Chip-Level Hardware Support for Web Mining", IEEE International Symposium on Data Mining and Information Retrieval, Niagara Falls, Canada, May 2007, pp. 341-348.
6. L.A, Barroso, Dean, J., and Holzle, U., "Web Search for a Planet: The Google Cluster Architecture," IEEE Micro, Mar./Apr. 2003, pp. 22-28.
7. M. Estlick, M. Lesser, and J. Theiler, "Algorithmic Transformations in the Implementation of k-means Clustering on Reconfigurable Hardware," The Ninth Annual IEEE Symposium on Field Programmable Custom Computing Machines, 2001.
8. R. Jin, G. Yang, and G. Agrawal, "Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance," IEEE Transactions of Knowledge and Data Engineering," vol. 16, no. 10, Oct. 2004.
9. R.D. Chamberlain, et al., "The Mercury System: Exploiting Truly Fast Hardware for Data Search," 2003 International Workshop on Storage Network Architecture and Parallel I/Os.
10. S. Fushimi and M. Kitsuregawa, "GREO: A Commercial Database Processor Based on a Pipelined Hardware Sorter," 1993 ACM SIGMOD International Conference on Management of Data.
11. U. Inoue, et al., "Rinda: A Relational Database Processor with Hardware Specialized for Searching and Sorting," IEEE Micro, Dec. 1991, pp. 61-70.
12. Z. Baker and V.K. Prasanna, "Efficient Hardware Data Mining with the Apriori Algorithm on FPGAs," The Thirteenth Annual IEEE Symposium on Field Programmable Custom Computing Machines, 2005.
13. www.xilinx.com/ise/embedded/edk7_1docs/ps_ug.pdf, "Platform Studio User Guide - Embedded Developemnt Kit EDK 7.1i."