About: GPU-Based Acceleration of the Genetic Algorithm

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

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Genetic algorithm, a robust, stochastic optimization technique, is effective insolving many practical problems in science, engineering, and business domains. Unfortunatelly, execution usually takes a long time. In this paper, I study possibility of utilization consumer-level graphics cards for acceleration of GA’s. A mapping of parallel island genetic algorithm to CUDA software model is designed and tested on GeForce 8800GTX, GTX260-SP216 and GTX285 GPU’s using Rosenbrock’s, Griewank’s and Michalewicz’s benchmark functions. Results indicates that this optimization leads to speedups up to seven thousand times compared to single CPU thread while maintaing reasonable results quality. Genetic algorithm, a robust, stochastic optimization technique, is effective insolving many practical problems in science, engineering, and business domains. Unfortunatelly, execution usually takes a long time. In this paper, I study possibility of utilization consumer-level graphics cards for acceleration of GA’s. A mapping of parallel island genetic algorithm to CUDA software model is designed and tested on GeForce 8800GTX, GTX260-SP216 and GTX285 GPU’s using Rosenbrock’s, Griewank’s and Michalewicz’s benchmark functions. Results indicates that this optimization leads to speedups up to seven thousand times compared to single CPU thread while maintaing reasonable results quality. (en)
Title	GPU-Based Acceleration of the Genetic Algorithm GPU-Based Acceleration of the Genetic Algorithm (en)
skos:prefLabel	GPU-Based Acceleration of the Genetic Algorithm GPU-Based Acceleration of the Genetic Algorithm (en)
skos:notation	RIV/00216305:26230/10:PU89612!RIV12-GA0-26230___
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...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Pospíchal, Petr
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
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	260917
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/10:PU89612
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Parallel Genetic Algorithm, PGA, CUDA, Island Model, Galib, Speedup, GPU (en)
http://linked.open.../riv/klicoveSlovo	CUDA GPU Speedup Galib Island Model PGA Parallel Genetic Algorithm
http://linked.open...ontrolniKodProRIV	[F93D58E578F9]
http://linked.open...v/mistoKonaniAkce	Češkovice
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Počítačové architektury a diagnostika 2010
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Natural Computing on Unconventional Platforms
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Pospíchal, Petr
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2010-09-13 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Vysoké učení technické v Brně. Fakulta informačních technologií
https://schema.org/isbn	978-80-214-4140-8
http://localhost/t...ganizacniJednotka	26230

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