Detail výsledku

Bent Functions Synthesis on Xeon Phi Coprocessor

HRBÁČEK, R. Bent Functions Synthesis on Xeon Phi Coprocessor. In Mathematical and Engineering Methods in Computer Science. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2014. p. 88-99. ISBN: 978-3-319-14895-3.
Typ
článek ve sborníku konference
Jazyk
angličtina
Autoři
Hrbáček Radek, Ing., Ph.D., FIT (FIT), UPSY (FIT)
Abstrakt

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.

Klíčová slova

Cartesian Genetic Programming, Evolutionary Design, Bent Boolean Function, Parallel Computing, Xeon Phi, MIC

Rok
2014
Strany
88–99
Sborník
Mathematical and Engineering Methods in Computer Science
Řada
Lecture Notes in Computer Science
Svazek
8934
Konference
MEMICS'14 -- 9th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science
ISBN
978-3-319-14895-3
Vydavatel
Springer Verlag
Místo
Heidelberg
DOI
10.1007/978-3-319-14896-0_8
UT WoS
000357573300008
EID Scopus
2-s2.0-84927947188
BibTeX 
@inproceedings{BUT111650,
  author="Radek {Hrbáček}",
  title="Bent Functions Synthesis on Xeon Phi Coprocessor",
  booktitle="Mathematical and Engineering Methods in Computer Science",
  year="2014",
  series="Lecture Notes in Computer Science",
  volume="8934",
  pages="88--99",
  publisher="Springer Verlag",
  address="Heidelberg",
  doi="10.1007/978-3-319-14896-0\{_}8",
  isbn="978-3-319-14895-3"
}
Projekty
Pokročilé metody evolučního návrhu složitých číslicových obvodů, GAČR, Standardní projekty, GA14-04197S, zahájení: 2014-01-01, ukončení: 2016-12-31, ukončen
Výzkumné skupiny
EvoAI Hardware (VZ EHW)
Pracoviště
Ústav počítačových systémů (UPSY)
Nahoru