Publication detail

Approximate Computing: An Old Job for Cartesian Genetic Programming?

SEKANINA, L.

Original Title

Approximate Computing: An Old Job for Cartesian Genetic Programming?

Type

book chapter

Language

English

Original 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.

Keywords

approximate computing, cartesian genetic programming, circuit design

Authors

SEKANINA, L.

Released

1. 1. 2018

Publisher

Springer International Publishing

Location

Cham

ISBN

978-3-319-67996-9

Book

Inspired by Nature

Edition

Emergence, Complexity and Computation, Vol. 28

Pages from

195

Pages to

212

Pages count

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/"
}

Documents

chap195.pdf