Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inproceedings{BUT111513,
  author="Miloš {Minařík} and Lukáš {Sekanina}",
  title="Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP",
  annote="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.",
  address="Springer Verlag",
  booktitle="Genetic Programming, 17th European Conference, EuroGP 2014",
  chapter="111513",
  doi="10.1007/978-3-662-44303-3_10",
  edition="Lecture Notes in Computer Science",
  howpublished="print",
  institution="Springer Verlag",
  year="2014",
  month="august",
  pages="112--123",
  publisher="Springer Verlag",
  type="conference paper"
}