Computation of Cores in Big Datasets: An FPGA Approach
Maciej Kopczyński, Tomasz Grześ, Jarosław Stepaniuk · Lecture notes in computer science · 2015
In this paper we propose the FPGA and softcore CPU supported device for performing core calculation for large datasets using rough set methods. Presented architecture has been tested on two real datasets by downloading and running presented solution inside FPGA. Sizes of the datasets were in range 1 000 to 10 000 000 objects. Results show the big acceleration in terms of the computation time using hardware supporting core generation unit.