Publication Details

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.
Czech title
Aproximativní počítání: Dávná aplikace pro kartézské genetické programování?
Type
book chapter
Language
English
Authors
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)
Keywords

approximate computing, cartesian genetic programming, circuit design

Abstract

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.

Published
2018
Pages
195–212
Book
Inspired by Nature
Series
Emergence, Complexity and Computation, Vol. 28
ISBN
978-3-319-67996-9
Publisher
Springer International Publishing
Place
Cham
DOI
10.1007/978-3-319-67997-6
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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