Frequency Table Computation on Dataflow Architecture (CROSBI ID 619890)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Škoda, Peter ; Sruk, Vlado ; Medved Rogina, Branka
engleski
Frequency Table Computation on Dataflow Architecture
Frequency table computation is a key step in decision tree learning algorithms. In this paper we present a novel implementation targeted for dataflow architecture implemented on field programmable gate array (FPGA). Consistent with dataflow model of computation, the kernel views input dataset as synchronous streams of attributes and class values. The kernel was benchmarked using key functions from C4.5 program for decision tree learning. For large datasets with many attributes – over 100, 000 items, and over 60 attributes – the realized kernel, clocked at 333 MHz, outperforms the software implementation running on CPU clocked at 3.2 GHz.
dataflow; decision tree learning; field programmable; frequency table; gate arrays
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Podaci o prilogu
357-361.
2014.
objavljeno
Podaci o matičnoj publikaciji
Biljanovič, Petar ; Skala, Karolj
Zagreb: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-078-6
Podaci o skupu
37th international convention on information and communication technology, electronics and microelectronics ; Distributed computing, visualization and biomedical engineering conference
predavanje
26.05.2014-30.05.2014
Opatija, Hrvatska