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  • 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.
  • 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. (en)
Title
  • Accelerating Cellular Automata Evolution on Graphics Processing Units
  • Accelerating Cellular Automata Evolution on Graphics Processing Units (en)
skos:prefLabel
  • Accelerating Cellular Automata Evolution on Graphics Processing Units
  • Accelerating Cellular Automata Evolution on Graphics Processing Units (en)
skos:notation
  • RIV/00216305:26230/10:PU89600!RIV12-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP103/10/1517), S, Z(MSM0021630528)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 245160
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/10:PU89600
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • cellular automata, parallel computing, GPU, CUDA,  genetic alghorithm (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [56B4B423FB07]
http://linked.open...i/riv/nazevZdroje
  • International Journal on Advances in Software
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 3
http://linked.open...iv/tvurceVysledku
  • Sekanina, Lukáš
  • Šimek, Václav
  • Žaloudek, Luděk
http://linked.open...n/vavai/riv/zamer
issn
  • 1942-2628
number of pages
http://localhost/t...ganizacniJednotka
  • 26230
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