About: GPU Accelerated NEH Algorithm

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7007169
Description	This research aims to develop a CUDA accelerated NEH algorithm for the permutative flowshop scheduling problem with makespan criterion. NEH has been shown in the literature as the best constructive heuristic for this particular problem. The CUDA based NEH aims to speed up the processing time by utilising the GPU cores for parallel evaluation. In order to show the versatility and scalability of the CUDA based NEH, four new higher dimensional Taillard sets are generated. The experiments are conducted on the CPU and GPU and pairwise compared. Percentage relative difference and paired t-test both confirm that the GPU based NEH significantly improves on the execution time compared to the sequential CPU version for all the high dimensional problem instances. This research aims to develop a CUDA accelerated NEH algorithm for the permutative flowshop scheduling problem with makespan criterion. NEH has been shown in the literature as the best constructive heuristic for this particular problem. The CUDA based NEH aims to speed up the processing time by utilising the GPU cores for parallel evaluation. In order to show the versatility and scalability of the CUDA based NEH, four new higher dimensional Taillard sets are generated. The experiments are conducted on the CPU and GPU and pairwise compared. Percentage relative difference and paired t-test both confirm that the GPU based NEH significantly improves on the execution time compared to the sequential CPU version for all the high dimensional problem instances. (en)
Title	GPU Accelerated NEH Algorithm GPU Accelerated NEH Algorithm (en)
skos:prefLabel	GPU Accelerated NEH Algorithm GPU Accelerated NEH Algorithm (en)
skos:notation	RIV/61989100:27240/14:86092779!RIV15-MSM-27240___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GA13-08195S), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Metlická, Magdalena Davendra, Donald David
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	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	18517
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/14:86092779
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	CUDA, NEH Algorithm, Flow shop scheduling (en)
http://linked.open.../riv/klicoveSlovo	NEH Algorithm CUDA Flow shop scheduling
http://linked.open...ontrolniKodProRIV	[418F8533C46D]
http://linked.open...v/mistoKonaniAkce	Orlando
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Vysoce škálovatelné paralelní a distribuované metody zpracování vědeckých dat
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Davendra, Donald David Metlická, Magdalena Amann, Matthias Hermann, Frank Meier, Markus
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-12-09 (xsd:date)
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/CIPLS.2014.7007169
http://purl.org/ne...btex#hasPublisher	Institute of Electrical and Electronics Engineers
https://schema.org/isbn	978-1-4799-4501-6
http://localhost/t...ganizacniJednotka	27240

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