Publication detail

Evolvable 2D computing matrix model for intrinsic evolution in commercial FPGAs with native reconfiguration support

SALVADOR, R. OTERO, A. MORA, J. DE LA TORRE, E. RIESGO, T. SEKANINA, L.

Original Title

Evolvable 2D computing matrix model for intrinsic evolution in commercial FPGAs with native reconfiguration support

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

This paper addresses the modelling and validation of an evolvable hardware architecture which can be mapped on a 2D systolic structure implemented on commercial reconfigurable FPGAs. The adaptation capabilities of the architecture are exercised to validate its evolvability. The underlying proposal is the use of a library of reconfigurable components characterised by their partial bitstreams, which are used by the Evolutionary Algorithm to find a solution to a given task. Evolution of image noise filters is selected as the proof of concept application. Results show that computation speed of the resulting evolved circuit is higher than with the Virtual Reconfigurable Circuits approach, and this can be exploited on the evolution process by using dynamic reconfiguration.

Keywords

field programmable gate array, dynamic partial reconfiguration, image filter, evolvable hardware

Authors

SALVADOR, R.; OTERO, A.; MORA, J.; DE LA TORRE, E.; RIESGO, T.; SEKANINA, L.

RIV year

2011

Released

16. 6. 2011

Publisher

IEEE Computer Society

Location

Los Alamitos

ISBN

978-1-4577-0599-1

Book

Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems

Pages from

184

Pages to

191

Pages count

8

URL

https://www.fit.vut.cz/research/publication/9682/

BibTex

@inproceedings{BUT76400,
  author="Ruben {Salvador} and Andres {Otero} and Javier {Mora} and Eduardo {De la Torre} and Teresa {Riesgo} and Lukáš {Sekanina}",
  title="Evolvable 2D computing matrix model for intrinsic evolution in commercial FPGAs with native reconfiguration support",
  booktitle="Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems",
  year="2011",
  pages="184--191",
  publisher="IEEE Computer Society",
  address="Los Alamitos",
  isbn="978-1-4577-0599-1",
  url="https://www.fit.vut.cz/research/publication/9682/"
}

Documents

ahs2011evo_fpga.pdf