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Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F13%3A86088870%21RIV14-MSM-27740___
rdf:type
n14:Vysledek skos:Concept
dcterms:description
Distributed environments and emerging highly-parallel platforms provide a suitable hardware infrastructure for parallel Evolutionary Computation. Partitioned Global Address Space model is a well-known parallel computing model used to implement scalable algorithms for many-core systems and clusters. This study investigates the Unified Parallel C programming language as a tool for implementation of scalable evolutionary algorithms for high-dimensional problems. The design concepts and initial implementation are demonstrated on the Differential Evolution algorithm. The mapping of Differential Evolution concepts to Unified Parallel C features is presented and three variants of parallel Differential Evolution for many-core shared memory systems and clusters of computers with distributed memory are implemented and evaluated in the environment of a small real-world cluster. Distributed environments and emerging highly-parallel platforms provide a suitable hardware infrastructure for parallel Evolutionary Computation. Partitioned Global Address Space model is a well-known parallel computing model used to implement scalable algorithms for many-core systems and clusters. This study investigates the Unified Parallel C programming language as a tool for implementation of scalable evolutionary algorithms for high-dimensional problems. The design concepts and initial implementation are demonstrated on the Differential Evolution algorithm. The mapping of Differential Evolution concepts to Unified Parallel C features is presented and three variants of parallel Differential Evolution for many-core shared memory systems and clusters of computers with distributed memory are implemented and evaluated in the environment of a small real-world cluster.
dcterms:title
Parallel differential evolution in Unified Parallel C Parallel differential evolution in Unified Parallel C
skos:prefLabel
Parallel differential evolution in Unified Parallel C Parallel differential evolution in Unified Parallel C
skos:notation
RIV/61989100:27740/13:86088870!RIV14-MSM-27740___
n14:predkladatel
n16:orjk%3A27740
n5:aktivita
n15:S n15:P
n5:aktivity
P(ED1.1.00/02.0070), P(EE.2.3.20.0073), S
n5:dodaniDat
n9:2014
n5:domaciTvurceVysledku
n6:4347269 n6:6026877 n6:9175970
n5:druhVysledku
n13:D
n5:duvernostUdaju
n21:S
n5:entitaPredkladatele
n20:predkladatel
n5:idSjednocenehoVysledku
95291
n5:idVysledku
RIV/61989100:27740/13:86088870
n5:jazykVysledku
n11:eng
n5:klicovaSlova
Unified Parallel C; Partitioned Global Address Space; Parallel Differential Evolution
n5:klicoveSlovo
n7:Unified%20Parallel%20C n7:Partitioned%20Global%20Address%20Space n7:Parallel%20Differential%20Evolution
n5:kontrolniKodProRIV
[466B633C1477]
n5:mistoKonaniAkce
Cancun
n5:mistoVydani
New York
n5:nazevZdroje
2013 IEEE Congress on Evolutionary Computation, CEC 2013
n5:obor
n8:IN
n5:pocetDomacichTvurcuVysledku
3
n5:pocetTvurcuVysledku
3
n5:projekt
n12:EE.2.3.20.0073 n12:ED1.1.00%2F02.0070
n5:rokUplatneniVysledku
n9:2013
n5:tvurceVysledku
Krömer, Pavel Snášel, Václav Platoš, Jan
n5:typAkce
n19:WRD
n5:zahajeniAkce
2013-06-20+02:00
s:numberOfPages
8
n17:doi
10.1109/CEC.2013.6557629
n10:hasPublisher
IEEE
n18:isbn
978-1-4799-0454-9
n22:organizacniJednotka
27740