Journal article

ŽALOUDEK Luděk, SEKANINA Lukáš and ŠIMEK Václav. Accelerating Cellular Automata Evolution on Graphics Processing Units. International Journal on Advances in Software. 2010, vol. 3, no. 1, pp. 294-303. ISSN 1942-2628.
Publication language:english
Original title:Accelerating Cellular Automata Evolution on Graphics Processing Units
Title (cs):Akcelerace evoluce celulárního automatu na grafické kartě
Pages:294-303
Place:US
Year:2010
Journal:International Journal on Advances in Software, Vol. 3, No. 1, US
ISSN:1942-2628
URL:http://www.iariajournals.org/software/index.html [HTML]
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Keywords

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

Annotation
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.
BibTeX:
@ARTICLE{
   author = {Lud{\v{e}}k {\v{Z}}aloudek and Luk{\'{a}}{\v{s}} Sekanina
	and V{\'{a}}clav {\v{S}}imek},
   title = {Accelerating Cellular Automata Evolution on Graphics
	Processing Units},
   pages = {294--303},
   journal = {International Journal on Advances in Software},
   volume = {3},
   number = {1},
   year = {2010},
   ISSN = {1942-2628},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9315}
}

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