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  • A new approach to synthesize bent Boolean functions by means of Cartesian Genetic Programming (CGP) has been proposed recently. Bent functions have important applications in cryptography due to their high nonlinearity. However, they are very rare and their discovery using conventional brute force methods is not efficient enough. In this paper, a new parallel implementation is proposed and the performance is evaluated on the Intel Xeon Phi Coprocessor.
  • A new approach to synthesize bent Boolean functions by means of Cartesian Genetic Programming (CGP) has been proposed recently. Bent functions have important applications in cryptography due to their high nonlinearity. However, they are very rare and their discovery using conventional brute force methods is not efficient enough. In this paper, a new parallel implementation is proposed and the performance is evaluated on the Intel Xeon Phi Coprocessor. (en)
Title
  • Bent Functions Synthesis on Xeon Phi Coprocessor
  • Bent Functions Synthesis on Xeon Phi Coprocessor (en)
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  • Bent Functions Synthesis on Xeon Phi Coprocessor
  • Bent Functions Synthesis on Xeon Phi Coprocessor (en)
skos:notation
  • RIV/00216305:26230/14:PU112055!RIV15-GA0-26230___
http://linked.open...avai/riv/aktivita
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  • P(GA14-04197S)
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  • 5083
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  • RIV/00216305:26230/14:PU112055
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  • Cartesian Genetic Programming, Evolutionary Design, Bent Boolean Function, Parallel Computing, Xeon Phi, MIC (en)
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  • [030B6649F362]
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  • Telč
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  • Heidelberg
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  • Mathematical and Engineering Methods in Computer Science
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  • Hrbáček, Radek
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  • Springer-Verlag
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  • 978-3-319-14895-3
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  • 26230
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