About: Accelerating Cellular Automata Evolution on Graphics Processing Units

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Accelerating Cellular Automata Evolution on Graphics Processing Units Goto Sponge Distinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. 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	P S Z
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	2012
http://linked.open...aciTvurceVysledku	Sekanina, Lukáš Šimek, Václav Žaloudek, Luděk
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	245160
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/10:PU89600
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	cellular automata, parallel computing, GPU, CUDA, genetic alghorithm (en)
http://linked.open.../riv/klicoveSlovo	cellular automata parallel computing CUDA GPU genetic alghorithm
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	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Natural Computing on Unconventional Platforms
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	3
http://linked.open...iv/tvurceVysledku	Sekanina, Lukáš Šimek, Václav Žaloudek, Luděk
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
issn	1942-2628
number of pages	10 (xsd:int)
http://localhost/t...ganizacniJednotka	26230

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 97 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software