FPGA implementations of data mining algorithms (CROSBI ID 595986)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Škoda, Peter ; Medved Rogina, Branka ; Sruk, Vlado
engleski
FPGA implementations of data mining algorithms
In recent decades there has been an exponential growth in quantity of collected data. Various data mining procedures have been developed to extract information from such large amounts of data. Handling ever increasing amount of data generates increasing demand for computing power. There are several ways of dealing with this demand, such as multiprocessor systems, and use of graphic processing units (GPU). Another way is use of field programmable gate array (FPGA) devices as hardware accelerators. This paper gives a survey of the application of FPGAs as hardware accelerators for data mining. Three data mining algorithms were selected for this survey: classification and regression trees, support vector machines, and k-means clustering. A literature review and analysis of FPGA implementations was conducted for the three selected algorithms. Conclusions on methods of implementation, common problems and limitations, and means of overcoming them were drawn from the analysis.
field programmable gate arrays; algorithms; data mining
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Podaci o prilogu
362-367.
2012.
objavljeno
Podaci o matičnoj publikaciji
MIPRO, 2012 Proceedings of the 35th International Convention, Distributed Computing and Visualization Conference
Biljanović, Petar ; Skala, Karolj
Zagreb: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-1-4673-2577-6
Podaci o skupu
MIPRO 2012
predavanje
21.05.2012-25.05.2012
Opatija, Hrvatska