Publication result detail

Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP

MINAŘÍK, M.; SEKANINA, L.

Original Title

Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP

English Title

Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP

Type

Paper in proceedings (conference paper)

Original Abstract

This paper presents a new platform for development of small application-specific digital embedded architectures based on a data path controlled by a microprogram. Linear genetic programming is extended to evolve a program for the controller together with suitable hardware architecture. Experimental results show that the platform can automatically design general solutions as well as highly optimized specialized solutions to benchmark problems such as maximum, parity or iterative division.

English abstract

This paper presents a new platform for development of small application-specific digital embedded architectures based on a data path controlled by a microprogram. Linear genetic programming is extended to evolve a program for the controller together with suitable hardware architecture. Experimental results show that the platform can automatically design general solutions as well as highly optimized specialized solutions to benchmark problems such as maximum, parity or iterative division.

Keywords

digital logic, embedded system, HW/SW co-design, genetic programming

Key words in English

digital logic, embedded system, HW/SW co-design, genetic programming

Authors

MINAŘÍK, M.; SEKANINA, L.

RIV year

2015

Released

21.08.2014

Publisher

Springer Verlag

Location

Berlin

ISBN

978-3-662-44302-6

Book

Genetic Programming, 17th European Conference, EuroGP 2014

Edition

Lecture Notes in Computer Science

Volume

8599

Pages from

112

Pages to

123

Pages count

12

URL

BibTex

@inproceedings{BUT111513,
  author="Miloš {Minařík} and Lukáš {Sekanina}",
  title="Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP",
  booktitle="Genetic Programming, 17th European Conference, EuroGP 2014",
  year="2014",
  series="Lecture Notes in Computer Science",
  volume="8599",
  pages="112--123",
  publisher="Springer Verlag",
  address="Berlin",
  doi="10.1007/978-3-662-44303-3\{_}10",
  isbn="978-3-662-44302-6",
  url="https://www.fit.vut.cz/research/publication/10481/"
}

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