FPGA in Rough-Granular Computing: Reduct Generation

In this paper we propose a combination of capabilities of the FPGA based device for computing reduct. Presented architecture has been tested on a real-world data. Obtained results confirm the huge acceleration of the computation time using hardware supporting reduct computation in comparison to soft...

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Published in:2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) Vol. 2; pp. 364 - 370
Main Authors: Kopczynski, Maciej, Grzes, Tomasz, Stepaniuk, Jaroslaw
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2014
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Abstract In this paper we propose a combination of capabilities of the FPGA based device for computing reduct. Presented architecture has been tested on a real-world data. Obtained results confirm the huge acceleration of the computation time using hardware supporting reduct computation in comparison to software implementation.
AbstractList In this paper we propose a combination of capabilities of the FPGA based device for computing reduct. Presented architecture has been tested on a real-world data. Obtained results confirm the huge acceleration of the computation time using hardware supporting reduct computation in comparison to software implementation.
Author Stepaniuk, Jaroslaw
Kopczynski, Maciej
Grzes, Tomasz
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  givenname: Tomasz
  surname: Grzes
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  organization: Fac. of Comput. Sci., Bialystok Univ. of Technol., Bialystok, Poland
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  givenname: Jaroslaw
  surname: Stepaniuk
  fullname: Stepaniuk, Jaroslaw
  email: j.stepaniuk@pb.edu.pl
  organization: Fac. of Comput. Sci., Bialystok Univ. of Technol., Bialystok, Poland
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Snippet In this paper we propose a combination of capabilities of the FPGA based device for computing reduct. Presented architecture has been tested on a real-world...
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StartPage 364
SubjectTerms Clocks
Digital systems
Field programmable gate arrays
FPGA
Hardware
hardware solution
Multiplexing
Radiation detectors
reduct
rough set
Software
Title FPGA in Rough-Granular Computing: Reduct Generation
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Volume 2
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