Detail publikace

Automated Search-Based Functional Approximation for Digital Circuits

SEKANINA, L. VAŠÍČEK, Z. MRÁZEK, V.

Originální název

Automated Search-Based Functional Approximation for Digital Circuits

Typ

kapitola v knize

Jazyk

angličtina

Originální abstrakt

The problem of developing an approximate implementation of a given combinational circuit can be formulated as a multi-objective design problem and solved by means of a search algorithm. This approach usually provides many solutions showing high-quality tradeoffs between key design objectives; however, it is very computationally expensive. This chapter presents a general-purpose method based on genetic programming for an automated functional approximation of combinational circuits at the gate and register-transfer levels. It surveys relevant error metrics and circuit parameters that are typically optimized by genetic programming. A special attention is given to the techniques capable of providing formal guarantees in terms of error bounds and accelerating the search process. Case studies dealing with approximate implementations of arithmetic circuits and image operators are presented to highlight the quality of results obtained by the search-based functional approximation in completely different application domains.

Klíčová slova

approximate circuit, genetic programming, arithmetic circuits, multi-objective optimization

Autoři

SEKANINA, L.; VAŠÍČEK, Z.; MRÁZEK, V.

Vydáno

1. 1. 2019

Nakladatel

Springer International Publishing

Místo

Heidelberg

ISBN

978-3-319-99322-5

Kniha

Approximate Circuits - Methodologies and CAD

Strany od

175

Strany do

203

Strany počet

29

URL

https://www.fit.vut.cz/research/publication/11679/

BibTex

@inbook{BUT155015,
  author="Lukáš {Sekanina} and Zdeněk {Vašíček} and Vojtěch {Mrázek}",
  title="Automated Search-Based Functional Approximation for Digital Circuits",
  booktitle="Approximate Circuits - Methodologies and CAD",
  year="2019",
  publisher="Springer International Publishing",
  address="Heidelberg",
  pages="175--203",
  doi="10.1007/978-3-319-99322-5\{_}9",
  isbn="978-3-319-99322-5",
  url="https://www.fit.vut.cz/research/publication/11679/"
}