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Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F14%3A86092013%21RIV15-MSM-27740___
rdf:type
n3:Vysledek skos:Concept
rdfs:seeAlso
http://dx.doi.org/10.1155/2014/187362
dcterms:description
Reliability engineering is relatively new scientific discipline which develops in close connection with computers. Rapid development of computer technology recently requires adequate novelties of source codes and appropriate software. New parallel computing technology based on HPC (high performance computing) for availability calculation will be demonstrated in this paper. The technology is particularly effective in context with simulation methods; nevertheless, analytical methods are taken into account as well. In general, basic algorithms for reliability calculations must be appropriately modified and improved to achieve better computation efficiency. Parallel processing is executed by two ways, firstly by the use of the MATLAB function parfor and secondly by the use of the CUDA technology. The computation efficiency was significantly improved which is clearly demonstrated in numerical experiments performed on selected testing examples as well as on industrial example. Scalability graphs are used to demonstrate reduction of computation time caused by parallel computing. Reliability engineering is relatively new scientific discipline which develops in close connection with computers. Rapid development of computer technology recently requires adequate novelties of source codes and appropriate software. New parallel computing technology based on HPC (high performance computing) for availability calculation will be demonstrated in this paper. The technology is particularly effective in context with simulation methods; nevertheless, analytical methods are taken into account as well. In general, basic algorithms for reliability calculations must be appropriately modified and improved to achieve better computation efficiency. Parallel processing is executed by two ways, firstly by the use of the MATLAB function parfor and secondly by the use of the CUDA technology. The computation efficiency was significantly improved which is clearly demonstrated in numerical experiments performed on selected testing examples as well as on industrial example. Scalability graphs are used to demonstrate reduction of computation time caused by parallel computing.
dcterms:title
New Computing Technology in Reliability Engineering New Computing Technology in Reliability Engineering
skos:prefLabel
New Computing Technology in Reliability Engineering New Computing Technology in Reliability Engineering
skos:notation
RIV/61989100:27740/14:86092013!RIV15-MSM-27740___
n4:aktivita
n18:P
n4:aktivity
P(ED1.1.00/02.0070)
n4:cisloPeriodika
2014, Article number 187362
n4:dodaniDat
n7:2015
n4:domaciTvurceVysledku
n5:6396038
n4:druhVysledku
n16:J
n4:duvernostUdaju
n19:S
n4:entitaPredkladatele
n20:predkladatel
n4:idSjednocenehoVysledku
32352
n4:idVysledku
RIV/61989100:27740/14:86092013
n4:jazykVysledku
n9:eng
n4:klicovaSlova
HPC; Reliability Engineering; New Computing
n4:klicoveSlovo
n8:Reliability%20Engineering n8:New%20Computing n8:HPC
n4:kodStatuVydavatele
US - Spojené státy americké
n4:kontrolniKodProRIV
[D9BA966CC33D]
n4:nazevZdroje
Mathematical Problems in Engineering
n4:obor
n17:BB
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
2
n4:projekt
n13:ED1.1.00%2F02.0070
n4:rokUplatneniVysledku
n7:2014
n4:svazekPeriodika
2014
n4:tvurceVysledku
Briš, Radim Domesová, Simona
n4:wos
000347335700001
s:issn
1024-123X
s:numberOfPages
7
n12:doi
10.1155/2014/187362
n11:organizacniJednotka
27740