Accelerating Cellular Automata Evolution on Graphics Processing Units

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89600" target="_blank" >RIV/00216305:26230/10:PU89600 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Accelerating Cellular Automata Evolution on Graphics Processing Units
Original language description
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.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Project
<a href="/en/project/GAP103%2F10%2F1517" target="_blank" >GAP103/10/1517: Natural Computing on Unconventional Platforms</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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