Result 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.
Type
conference paper
Language
English
Authors
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. 

Keywords

multiple constant multiplier, approximate computing

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
ISBN
978-1-4673-6133-0
Publisher
IEEE Computer Society
Place
Brno
DOI
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/"
}
Files
Projects
Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, start: 2011-01-01, end: 2015-12-31, completed
Natural Computing on Unconventional Platforms, GACR, Standardní projekty, GAP103/10/1517, start: 2010-01-01, end: 2013-12-31, running
Departments
Back to top