Book chapter

SEKANINA Lukáš. Approximate Computing: An Old Job for Cartesian Genetic Programming?. Inspired by Nature. Cham: Springer International Publishing, 2018, pp. 195-212. ISBN 978-3-319-67996-9.
Publication language:english
Original title:Approximate Computing: An Old Job for Cartesian Genetic Programming?
Title (cs):Aproximativní počítání: Dávná aplikace pro kartézské genetické programování?
Pages:195-212
Book:Inspired by Nature
Series:Emergence, Complexity and Computation, Vol. 28
Place:Cham, CH
Year:2018
ISBN:978-3-319-67996-9
DOI:10.1007/978-3-319-67997-6
Publisher:Springer International Publishing
Keywords
approximate computing, cartesian genetic programming, circuit design
Annotation
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.
BibTeX:
@INBOOK{
   author = {Luk{\'{a}}{\v{s}} Sekanina},
   title = {Approximate Computing: An Old Job for Cartesian
	Genetic Programming?},
   pages = {195--212},
   booktitle = {Inspired by Nature},
   series = {Emergence, Complexity and Computation, Vol. 28},
   year = {2018},
   location = {Cham, CH},
   publisher = {Springer International Publishing},
   ISBN = {978-3-319-67996-9},
   doi = {10.1007/978-3-319-67997-6},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en?id=11349}
}

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