NDLI: Similarity Computation Using Reconfigurable Embedded Hardware

Content Provider	IEEE Xplore Digital Library
Author	Perera, D.G. Kin Fun Li
Copyright Year	2009
Abstract	Advances in portable devices and location-aware applications have necessitated the research in sophisticated yet small-footprint hardware and software in embedded systems, while the proliferation of the Web and distributed database systems has led to new data mining applications. We are investigating the utilization of reconfigurable hardware, due to its flexibility and performance, for data mining applications in portable and embedded computing. In this work, we introduce a reconfigurable hardware solution using Field Programmable Gate Array (FPGA) for similarity matrix computation, a commonly used data structure to represent the computed similarity among a set of feature vectors. Our hardware design can be dynamically reconfigured to accommodate three different similarity measures. A space-time cost analysis of the proposed multiplexer-based approach is presented. Experiments performed on the implemented reconfigurable hardware show encouraging and promising results that warrant further investigation in dynamically reconfigurable FPGA-based hardware for data mining applications.
Starting Page	323
Ending Page	329
File Size	301729
Page Count	7
File Format	PDF
ISBN	9780769539294
e-ISBN	9781424454211
DOI	10.1109/DASC.2009.79
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Embedded computing data mining similarity matrix Data structures Application software Data mining Embedded software similarity measures Embedded system dynamically reconfigurable hardware Software systems Hardware Database systems Field programmable gate arrays
Content Type	Text
Resource Type	Article

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