Publication detail

Automated Search-Based Functional Approximation for Digital Circuits

SEKANINA, L. VAŠÍČEK, Z. MRÁZEK, V.

Original Title

Automated Search-Based Functional Approximation for Digital Circuits

Type

book chapter

Language

English

Original Abstract

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.

Keywords

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

Authors

SEKANINA, L.; VAŠÍČEK, Z.; MRÁZEK, V.

Released

1. 1. 2019

Publisher

Springer International Publishing

Location

Heidelberg

ISBN

978-3-319-99322-5

Book

Approximate Circuits - Methodologies and CAD

Pages from

175

Pages to

203

Pages count

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/"
}