Detail publikace

Accelerating Cellular Automata Evolution on Graphics Processing Units

ŽALOUDEK, L. SEKANINA, L. ŠIMEK, V.

Originální název

Accelerating Cellular Automata Evolution on Graphics Processing Units

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

ŽALOUDEK, L.; SEKANINA, L.; ŠIMEK, V.

Rok RIV

2010

Vydáno

12. 9. 2010

ISSN

1942-2628

Periodikum

International Journal on Advances in Software

Ročník

3

Číslo

1

Stát

Spojené státy americké

Strany od

294

Strany do

303

Strany počet

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/"
}