Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment - Publikacja - MOST Wiedzy

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Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment

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In the paper we present parallel implementations as well as execution times and speed-ups of three different algorithms run in various environments such as on a workstation with multi-core CPUs and a cluster. The parallel codes, implementing the master-slave model in C+MPI, differ in computation to communication ratios. The considered problems include: a genetic algorithm with various ratios of master processing time to communication and fitness evaluation times, matrix multiplication and numerical integration. We present how the codes scale in the aforementioned systems. For the numerical integration code that scales very well we also show performance in a hybrid CPU+Xeon Phi environment. Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment. Available from: https://www.researchgate.net/publication/319449758_Parallelization_of_Selected_Algorithms_on_Multi-core_CPUs_a_Cluster_and_in_a_Hybrid_CPUXeon_Phi_Environment [accessed Sep 25, 2017].

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Wersja publikacji
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Licencja
Copyright (Springer International Publishing AG 2018)

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Kategoria:
Aktywność konferencyjna
Typ:
materiały konferencyjne indeksowane w Web of Science
Opublikowano w:
Advances in Intelligent Systems and Computing nr 655, strony 292 - 301,
ISSN: 2194-5357
Tytuł wydania:
Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017 strony 292 - 301
Język:
angielski
Rok wydania:
2017
Opis bibliograficzny:
Krzywaniak A., Czarnul P..: Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment, W: Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017, 2017, ,.
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/978-3-319-67220-5_27
Weryfikacja:
Politechnika Gdańska

wyświetlono 139 razy

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