Detail publikace

Approximate Computing: An Old Job for Cartesian Genetic Programming?

SEKANINA, L.

Originální název

Approximate Computing: An Old Job for Cartesian Genetic Programming?

Typ

kapitola v knize

Jazyk

angličtina

Originální 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

Autoři

SEKANINA, L.

Vydáno

1. 1. 2018

Nakladatel

Springer International Publishing

Místo

Cham

ISBN

978-3-319-67996-9

Kniha

Inspired by Nature

Edice

Emergence, Complexity and Computation, Vol. 28

Strany od

195

Strany do

212

Strany počet

18

URL

https://www.fit.vut.cz/research/publication/11349/

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/"
}

Dokumenty

chap195.pdf