About: CUDA Based Enhanced Differential Evolution: A Computational Analysis

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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	General purpose graphic programming unit (GPGPU) programming is a novel approach for solving parallel variable independent problems. The graphic processor core (GPU) gives the possibility to use multiple blocks, each of which contains hundreds of threads. Each of these threads can be visualized as a core onto itself, and tasks can be simultaneously sent to all the threads for parallel evaluations. This research explores the advantages of applying a evolutionary algorithm (EA) on the GPU in terms of computational speedups. Enhanced Differential Evolution (EDE) is applied to the generic permutative flowshop scheduling (PFSS) problem both using the central processing unit (CPU) and the GPU, and the results in terms of execution time is compared. General purpose graphic programming unit (GPGPU) programming is a novel approach for solving parallel variable independent problems. The graphic processor core (GPU) gives the possibility to use multiple blocks, each of which contains hundreds of threads. Each of these threads can be visualized as a core onto itself, and tasks can be simultaneously sent to all the threads for parallel evaluations. This research explores the advantages of applying a evolutionary algorithm (EA) on the GPU in terms of computational speedups. Enhanced Differential Evolution (EDE) is applied to the generic permutative flowshop scheduling (PFSS) problem both using the central processing unit (CPU) and the GPU, and the results in terms of execution time is compared. (en)
Title	CUDA Based Enhanced Differential Evolution: A Computational Analysis CUDA Based Enhanced Differential Evolution: A Computational Analysis (en)
skos:prefLabel	CUDA Based Enhanced Differential Evolution: A Computational Analysis CUDA Based Enhanced Differential Evolution: A Computational Analysis (en)
skos:notation	RIV/70883521:28120/12:43868644!RIV13-MSM-28120___
http://linked.open...avai/riv/aktivita	S V
http://linked.open...avai/riv/aktivity	S, V
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Bialic-Davendra, Magdalena Lucyna
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	Univerzita Tomáše Bati ve Zlíně / Fakulta managementu a ekonomiky
http://linked.open...dnocenehoVysledku	129216
http://linked.open...ai/riv/idVysledku	RIV/70883521:28120/12:43868644
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Differential evolution, flowshop scheduling, CUDA (en)
http://linked.open.../riv/klicoveSlovo	CUDA Differential evolution flowshop scheduling
http://linked.open...ontrolniKodProRIV	[A6D6F675A799]
http://linked.open...v/mistoKonaniAkce	Koblenz
http://linked.open...i/riv/mistoVydani	Nicosia
http://linked.open...i/riv/nazevZdroje	26th European Conference on Modelling and Simulation
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Bialic-Davendra, Magdalena Lucyna Šenkeřík, Roman Davendra, Donald Gaura, Jan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-05-29 (xsd:date)
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.7148/2012
http://purl.org/ne...btex#hasPublisher	ECMS
https://schema.org/isbn	978-0-9564944-4-3
http://localhost/t...ganizacniJednotka	28120

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