Naslov
FPGA implementations of data mining algorithms

Autori
Škoda, Peter ; Medved Rogina, Branka ; Sruk, Vlado

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
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, 2012, 362-367

ISBN
978-1-4673-2577-6

Skup
MIPRO 2012 - 35th International Convention on Information and Communication Technology, Electronics and Microelectronics ; Distributed Computing and Visualization Conference

Mjesto i datum
Opatija, Hrvatska, 21.05.2012. - 25.05.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
field programmable gate arrays; algorithms; data mining

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

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