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  • 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. (en)
Title
  • Parallel differential evolution in Unified Parallel C
  • Parallel differential evolution in Unified Parallel C (en)
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  • Parallel differential evolution in Unified Parallel C
  • Parallel differential evolution in Unified Parallel C (en)
skos:notation
  • RIV/61989100:27740/13:86088870!RIV14-MSM-27740___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(ED1.1.00/02.0070), P(EE.2.3.20.0073), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 95291
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  • RIV/61989100:27740/13:86088870
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  • Unified Parallel C; Partitioned Global Address Space; Parallel Differential Evolution (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [466B633C1477]
http://linked.open...v/mistoKonaniAkce
  • Cancun
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  • New York
http://linked.open...i/riv/nazevZdroje
  • 2013 IEEE Congress on Evolutionary Computation, CEC 2013
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  • Krömer, Pavel
  • Platoš, Jan
  • Snášel, Václav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CEC.2013.6557629
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  • IEEE
https://schema.org/isbn
  • 978-1-4799-0454-9
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  • 27740
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