Publication Details
Accelerating Cellular Automata Evolution on Graphics Processing Units
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT)
Šimek Václav, Ing. (DCSY FIT BUT)
cellular automata, parallel computing, GPU, CUDA, genetic alghorithm
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.
@ARTICLE{FITPUB9315,
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 = "https://www.fit.vut.cz/research/publication/9315"
}