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The chapter analyses the K-Means algorithm in its parallel setting. We provide detailed description of the algorithm as well as the way we paralellize the computations. We identified complexity of the particular steps of the algorithm that allows us to build the algorithm model in MERPSYS system. The simulations with the MERPSYS have been performed for different size of the data as well as for different number of the processors used for the computations. The results we got using the model have been compared to the results obtained from real computational environment.
Abstrakt
The chapter analyses the K-Means algorithm in its parallel setting. We provide detailed description of the algorithm as well as the way we paralellize the computations. We identified complexity of the particular steps of the algorithm that allows us to build the algorithm model in MERPSYS system. The simulations with the MERPSYS have been performed for different size of the data as well as for different number of the processors used for the computations. The results we got using the model have been compared to the results obtained from real computational environment.
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- Kategoria:
- Publikacja monograficzna
- Typ:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Tytuł wydania:
- Modeling Large-Scale Computing Systems: Practical Approaches in MERPSYS. strony 83 - 91
- Język:
- angielski
- Rok wydania:
- 2016
- Opis bibliograficzny:
- Szymański J.: The chapter analyses the K-Means algorithm in its parallel setting. We provide detailed description of the algorithm as well as the way we paralellize the computations. We identified complexity of the particular steps of the algorithm that allows us to build the algorithm model in MERPSYS system. The simulations with the MERPSYS have been performed for different size of the data as well as for different number of the processors used for the computations. The results we got using the model have been compared to the results obtained from real computational environment.// Modeling Large-Scale Computing Systems: Practical Approaches in MERPSYS./ ed. 2016 Gdańsk: Politechnika Gdańska, Wydział Elektroniki, Telekomunikacji i Informatyki, Katedra Architektury Systemów Komputerowych, 2016, s.83-91
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 114 razy
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