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Description
  • This package contains an efficient GPU implementation of the island based Genetic Algorithm. This GA solves the knapsack problem without any restrictions on the problem size (tested up to 100k items). The implementation is written in C++ utilising MPI and CUDA library. It is possible to be run on clusters of workstations or servers equipped with one or more GPUs as well as on a single multi-GPU machine. The performance of the implementation, the quality of produced results as well as the idea of implementation is explained in Jaros, J.: Multi-GPU Island-Based Genetic Algorithm Solving the Knapsack Problem, In: 2012 IEEE World Congress on Computational Intelligence, CA, US, IEEE, 2012, s. 217-224, ISBN 978-1-4673-1508-1
  • This package contains an efficient GPU implementation of the island based Genetic Algorithm. This GA solves the knapsack problem without any restrictions on the problem size (tested up to 100k items). The implementation is written in C++ utilising MPI and CUDA library. It is possible to be run on clusters of workstations or servers equipped with one or more GPUs as well as on a single multi-GPU machine. The performance of the implementation, the quality of produced results as well as the idea of implementation is explained in Jaros, J.: Multi-GPU Island-Based Genetic Algorithm Solving the Knapsack Problem, In: 2012 IEEE World Congress on Computational Intelligence, CA, US, IEEE, 2012, s. 217-224, ISBN 978-1-4673-1508-1 (en)
Title
  • MPI Island-based GPU Implementation of GA Running the Knapsack Benchmark
  • MPI Island-based GPU Implementation of GA Running the Knapsack Benchmark (en)
skos:prefLabel
  • MPI Island-based GPU Implementation of GA Running the Knapsack Benchmark
  • MPI Island-based GPU Implementation of GA Running the Knapsack Benchmark (en)
skos:notation
  • RIV/00216305:26230/12:PR26521!RIV13-GA0-26230___
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
  • 152251
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/12:PR26521
http://linked.open...terniIdentifikace
  • MPIGPUGA 1.0
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Genetic Algorithm, Island model, Knapsack, MPI, GPU, CUDA, SSE instructions (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [24D8A91A5E15]
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++ s využitím knihovny pro paralelní programování MPI 1.5.4 a CUDA 4.1. Nástroj dále využívá 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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