Publication detail

Evolutionary Design of Large Approximate Adders Optimized for Various Error Criteria

MRÁZEK, V. VAŠÍČEK, Z.

Original Title

Evolutionary Design of Large Approximate Adders Optimized for Various Error Criteria

Type

conference paper

Language

English

Original Abstract

As a promising approach to the design of energy efficient circuits, approximate circuits and approximate circuit design methodologies have attracted a significant attention of researchers as well as industry. Compared to the traditional design methods, it has been demonstrated that evolutionary approaches are able to discover approximate circuits exhibiting a good trade-off between the energy consumption and circuit quality. In this work, evolutionary design of large approximate adders is addressed. In order to improve scalability, the quality of the candidate solutions is analysed using a formal approach based on Binary Decision Diagrams. Compared to the common approach based on a parallel circuit simulator, the proposed method is able to evaluate 2-3 orders of magnitude more generations.

Keywords

Approximate computing, genetic algorithm, equivalence checking

Authors

MRÁZEK, V.; VAŠÍČEK, Z.

Released

6. 4. 2018

Publisher

Association for Computing Machinery

Location

Kyoto

ISBN

978-1-4503-5764-7

Book

Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '18)

Pages from

294

Pages to

295

Pages count

2

URL

https://www.fit.vut.cz/research/publication/11637/

BibTex

@inproceedings{BUT155006,
  author="Vojtěch {Mrázek} and Zdeněk {Vašíček}",
  title="Evolutionary Design of Large Approximate Adders Optimized for Various Error Criteria",
  booktitle="Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '18)",
  year="2018",
  pages="294--295",
  publisher="Association for Computing Machinery",
  address="Kyoto",
  doi="10.1145/3205651.3205678",
  isbn="978-1-4503-5764-7",
  url="https://www.fit.vut.cz/research/publication/11637/"
}