Prof. Ing. Lukáš Sekanina, Ph.D.

ŽALOUDEK Luděk, SEKANINA Lukáš a ŠIMEK Václav. GPU Accelerators for Evolvable Cellular Automata. In: Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns. Athens: Institute of Electrical and Electronics Engineers, 2009, s. 533-537. ISBN 978-0-7695-3862-4.
Jazyk publikace:angličtina
Název publikace:GPU Accelerators for Evolvable Cellular Automata
Název (cs):GPU akcelerátory pro evolvovatelné celulární automaty
Strany:533-537
Sborník:Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns
Konference:Future Computing 2009
Místo vydání:Athens, GR
Rok:2009
ISBN:978-0-7695-3862-4
Vydavatel:Institute of Electrical and Electronics Engineers
Klíčová slova

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

Anotace
Článek pojednává o akceleraci evoluce pravidel celulárních automatů pomocí GPU. Byly navrženy a vyhodnoceny tři metody akcelerace, přičemž bylo dosaženo významného urachlení oproti výpočtu na samotném CPU.
Abstrakt

In order to design cellular automata rules by means of evolutionary algorithms, 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 not to evolve any actual cellular automata but 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.

BibTeX:
@INPROCEEDINGS{
   author = {Lud{\v{e}}k {\v{Z}}aloudek and Luk{\'{a}}{\v{s}} Sekanina
	and V{\'{a}}clav {\v{S}}imek},
   title = {GPU Accelerators for Evolvable Cellular Automata},
   pages = {533--537},
   booktitle = {Computation World: Future Computing, Service Computation,
	Adaptive, Content, Cognitive, Patterns},
   year = {2009},
   location = {Athens, GR},
   publisher = {Institute of Electrical and Electronics Engineers},
   ISBN = {978-0-7695-3862-4},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=8814}
}

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