Core for Large Datasets: Rough Sets on FPGA

Abstract

In this paper we propose the FPGA and softcore CPU based device for large datasets core calculation using rough set methods. Presented architecture has been tested on two real datasets by downloading and running presented solution inside FPGA. Tested datasets had 1 000 to 10 000 000 objects. The same operations were performed in software implementation. Obtained results show the big acceleration in computation time using hardware supporting core generation in comparison to pure software implementation.

DOI: 10.3233/FI-2016-1407

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Cite this paper

@inproceedings{Kopczynski2015CoreFL, title={Core for Large Datasets: Rough Sets on FPGA}, author={Maciej Kopczynski and Tomasz Grzes and Jaroslaw Stepaniuk}, booktitle={CS&P}, year={2015} }