Publication result detail

GPU Accelerators for Evolvable Cellular Automata

ŽALOUDEK, L.; SEKANINA, L.; ŠIMEK, V.

Original Title

GPU Accelerators for Evolvable Cellular Automata

English Title

GPU Accelerators for Evolvable Cellular Automata

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

The paper deals with the acceleration of cellular automata rules evolution by means of GPUs. Three methods for acceleration were proposed and evaluated. Significant speedup was achieved with regard to single cpu computation.

English abstract

The paper deals with the acceleration of cellular automata rules evolution by means of GPUs. Three methods for acceleration were proposed and evaluated. Significant speedup was achieved with regard to single cpu computation.

Keywords

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

Key words in English

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

Authors

ŽALOUDEK, L.; SEKANINA, L.; ŠIMEK, V.

RIV year

2010

Released

15.11.2009

Publisher

Institute of Electrical and Electronics Engineers

Location

Athens

ISBN

978-0-7695-3862-4

Book

Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns

Pages from

533

Pages to

537

Pages count

5

BibTex

@inproceedings{BUT34277,
  author="Luděk {Žaloudek} and Lukáš {Sekanina} and Václav {Šimek}",
  title="GPU Accelerators for Evolvable Cellular Automata",
  booktitle="Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns",
  year="2009",
  pages="533--537",
  publisher="Institute of Electrical and Electronics Engineers",
  address="Athens",
  isbn="978-0-7695-3862-4"
}