Publication result detail

Evolutionary Computing in Approximate Circuit Design and Optimization

SEKANINA, L.; VAŠÍČEK, Z.

Original Title

Evolutionary Computing in Approximate Circuit Design and Optimization

English Title

Evolutionary Computing in Approximate Circuit Design and Optimization

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

In this paper, we survey relevant methods that have been proposed to functional approximation of digital circuits. The main focus is on evolutionary computing, particularly Cartesian genetic programming (CGP), which can provide, in an automated manner, very good compromises between key circuit parameters. This is demonstrated in a case study - evolutionary approximation of an 8-bit multiplier.   

English abstract

In this paper, we survey relevant methods that have been proposed to functional approximation of digital circuits. The main focus is on evolutionary computing, particularly Cartesian genetic programming (CGP), which can provide, in an automated manner, very good compromises between key circuit parameters. This is demonstrated in a case study - evolutionary approximation of an 8-bit multiplier.   

Authors

SEKANINA, L.; VAŠÍČEK, Z.

Released

20.01.2015

Location

Amsterdam

Book

1st Workshop on Approximate Computing (WAPCO 2015)

Pages from

1

Pages to

6

Pages count

6

URL

BibTex

@inproceedings{BUT168439,
  author="Lukáš {Sekanina} and Zdeněk {Vašíček}",
  title="Evolutionary Computing in Approximate Circuit Design and Optimization",
  booktitle="1st Workshop on Approximate Computing (WAPCO 2015)",
  year="2015",
  pages="1--6",
  address="Amsterdam",
  url="http://wapco.inf.uth.gr/2015/program.html"
}

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