Publication Details

Multiobjective evolution of approximate multiple constant multipliers

PETRLÍK, J.; SEKANINA, L. Multiobjective evolution of approximate multiple constant multipliers. In IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems 2013. Brno: IEEE Computer Society, 2013. p. 116-119. ISBN: 978-1-4673-6133-0.
Czech title
Multikriteriální návrh násobiček s vícenásobnými koeficienty pro nepřesné počítání
Type
conference paper
Language
English
Authors
Petrlík Jiří, Ing., Ph.D. (RG EHW)
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)
Keywords

multiple constant multiplier, approximate computing

Abstract

Multiple constant multiplier (MCM) is a digital circuit which multiplies its
single input by N constants. As MCMs are composed of adders and shifters, their
implementation cost is relatively low. In this paper, we propose a method for
design of approximate multiple constant multipliers where the requirement on
functional equivalence between the specification and implementation is relaxed in
order to further reduce the area on a chip or minimize delay. The proposed method
is based on multiobjective Cartesian Genetic Programming. It provides many
trade-off solutions among accuracy, area and delay. 

Published
2013
Pages
116–119
Proceedings
IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems 2013
Conference
IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems 2013, Karlovy Vary, CZ
ISBN
978-1-4673-6133-0
Publisher
IEEE Computer Society
Place
Brno
DOI
10.1109/DDECS.2013.6549800
UT WoS
000325168900026
BibTeX 
@inproceedings{BUT103446,
  author="Jiří {Petrlík} and Lukáš {Sekanina}",
  title="Multiobjective evolution of approximate multiple constant multipliers",
  booktitle="IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems 2013",
  year="2013",
  pages="116--119",
  publisher="IEEE Computer Society",
  address="Brno",
  doi="10.1109/DDECS.2013.6549800",
  isbn="978-1-4673-6133-0",
  url="https://www.fit.vut.cz/research/publication/10237/"
}
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