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Description
  • This package contains two implementations of the standard Genetic Algorithm. Both implementations solve the Knapsack problem. The CPU implementation exploits multi-core CPUs with SSE instruction while the GPU version is targeted on NVIDIA Fermi GPUs. The performance of both implementation, the quality of produced results as well as the idea of implementation is explained in Jaros, J., Pospichal, P.: A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark, In: Applications of Evolutionary Computation, Heidelberg, DE, Springer, 2012, p. 426-435, ISBN 978-3-642-29177-7
  • This package contains two implementations of the standard Genetic Algorithm. Both implementations solve the Knapsack problem. The CPU implementation exploits multi-core CPUs with SSE instruction while the GPU version is targeted on NVIDIA Fermi GPUs. The performance of both implementation, the quality of produced results as well as the idea of implementation is explained in Jaros, J., Pospichal, P.: A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark, In: Applications of Evolutionary Computation, Heidelberg, DE, Springer, 2012, p. 426-435, ISBN 978-3-642-29177-7 (en)
Title
  • GPGPU implementation of the GA running the knapsack benchmark
  • GPGPU implementation of the GA running the knapsack benchmark (en)
skos:prefLabel
  • GPGPU implementation of the GA running the knapsack benchmark
  • GPGPU implementation of the GA running the knapsack benchmark (en)
skos:notation
  • RIV/00216305:26230/12:PR25940!RIV13-GA0-26230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP103/10/1517), Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...onomickeParametry
  • Produkt se poskytuje zdarma na základě uvedené licenční smlouvy.
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 138328
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/12:PR25940
http://linked.open...terniIdentifikace
  • GPUGA 1.0
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Genetic Algorithm, Knapsack, multicore CPU, Graphics Accelerators GPU, SSE instructions, OpenMP. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5C620FA92B5F]
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...echnickeParametry
  • Tento software byl implementován v jazyce C++ a Nvidia CUDA 4.0. Nástroj dále využívá knihovny OpenMP a instrukcí SSE verze 4.1. Může být kompilován pod operačním systémem Linux (testováno na Ubuntu 10.04 LTS). Doporučená verze kompilátoru je GNU g++ 4.4
http://linked.open...iv/tvurceVysledku
  • Jaroš, Jiří
http://linked.open...avai/riv/vlastnik
http://linked.open...itiJinymSubjektem
http://linked.open...n/vavai/riv/zamer
http://localhost/t...ganizacniJednotka
  • 26230
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