Detail výsledku

Approximate Computing: An Old Job for Cartesian Genetic Programming?

SEKANINA, L. Approximate Computing: An Old Job for Cartesian Genetic Programming?. In Inspired by Nature. Emergence, Complexity and Computation, Vol. 28. Cham: Springer International Publishing, 2018. p. 195-212. ISBN: 978-3-319-67996-9.
Typ
kapitola, resp. kapitoly v odborné knize
Jazyk
anglicky
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Abstrakt

Miller's Cartesian genetic programming (CGP) has significantly influenced the development of evolutionary circuit design and evolvable hardware. We present key ingredients of CGP with respect to the efficient search in the space of digital circuits.We then show that approximate computing, which is currently one of the promising approaches used to reduce power consumption of computer systems, is a natural application for CGP. We briefly survey typical applications of CGP in approximate circuit design and outline new directions in approximate computing that could benefit from CGP.

Klíčová slova

approximate computing, cartesian genetic programming, circuit design

Rok
2018
Strany
195–212
Kniha
Inspired by Nature
Řada
Emergence, Complexity and Computation, Vol. 28
ISBN
978-3-319-67996-9
Vydavatel
Springer International Publishing
Místo
Cham
DOI
BibTeX
@inbook{BUT144410,
  author="Lukáš {Sekanina}",
  title="Approximate Computing: An Old Job for Cartesian Genetic Programming?",
  booktitle="Inspired by Nature",
  year="2018",
  publisher="Springer International Publishing",
  address="Cham",
  series="Emergence, Complexity and Computation, Vol. 28",
  pages="195--212",
  doi="10.1007/978-3-319-67997-6",
  isbn="978-3-319-67996-9",
  url="https://www.fit.vut.cz/research/publication/11349/"
}
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Projekty
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, zahájení: 2016-01-01, ukončení: 2020-12-31, ukončen
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