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Computation of Cores in Big Datasets: An FPGA Approach

  • Maciej Kopczynski
  • Tomasz Grzes
  • Jaroslaw Stepaniuk
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9436)

Abstract

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.

Keywords

Rough sets FPGA Hardware Core 

Notes

Acknowledgements

The research is supported by the Polish National Science Centre under the grant 2012/07/B/ST6/01504 (Jaroslaw Stepaniuk, Maciej Kopczynski) and by the scientific grant S/WI/3/2013 (Tomasz Grzes).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Maciej Kopczynski
    • 1
  • Tomasz Grzes
    • 1
  • Jaroslaw Stepaniuk
    • 1
  1. 1.Faculty of Computer ScienceBialystok University of TechnologyBialystokPoland

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