Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
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 usingconventional methods is a difficult task, evolutionaryalgorithms are often utilized in this area. However, in thatcase, high computational demands need to be met. Thisproblem may be partially solved by parallelization. Sinceparallel supercomputers and server clusters are expensive andoften overburdened, this paper proposes the evolution ofcellular automata rules on small and inexpensive graphicprocessing units. The main objective of this paper is todemonstrate that evolution of cellular automata rules can beaccelerated significantly using graphics processing units.Several methods of speeding-up the evolution of cellularautomata rules are proposed, evaluated and compared, somewith very good results. Also a comparison is made betweenmid-end and high-end graphics accelerator card based on theresults of evolution speedup. The proposed methods areevaluated 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/" }
Dokumenty
zaloudek.pdf