Publication detail

Accelerating Cellular Automata Evolution on Graphics Processing Units

ŽALOUDEK, L. SEKANINA, L. ŠIMEK, V.

Original Title

Accelerating Cellular Automata Evolution on Graphics Processing Units

Type

journal article - other

Language

English

Original Abstract

As design of cellular automata rules using conventional methods is a difficult task, evolutionary algorithms are often utilized in this area. However, in that case, high computational demands need to be met. This problem may be partially solved by parallelization. Since parallel supercomputers and server clusters are expensive and often overburdened, this paper proposes the evolution of cellular automata rules on small and inexpensive graphic processing units. The main objective of this paper is to demonstrate that evolution of cellular automata rules can be accelerated significantly using graphics processing units. Several methods of speeding-up the evolution of cellular automata rules are proposed, evaluated and compared, some with very good results. Also a comparison is made between mid-end and high-end graphics accelerator card based on the results of evolution speedup. The proposed methods are evaluated using two benchmark problems.

Keywords

cellular automata, parallel computing, GPU, CUDA,  genetic alghorithm

Authors

ŽALOUDEK, L.; SEKANINA, L.; ŠIMEK, V.

RIV year

2010

Released

12. 9. 2010

ISBN

1942-2628

Periodical

International Journal on Advances in Software

Year of study

3

Number

1

State

United States of America

Pages from

294

Pages to

303

Pages count

10

URL

https://www.fit.vut.cz/research/publication/9315/

BibTex

@article{BUT50515,
  author="Luděk {Žaloudek} and Lukáš {Sekanina} and Václav {Šimek}",
  title="Accelerating Cellular Automata Evolution on Graphics Processing Units",
  journal="International Journal on Advances in Software",
  year="2010",
  volume="3",
  number="1",
  pages="294--303",
  issn="1942-2628",
  url="https://www.fit.vut.cz/research/publication/9315/"
}