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GPU Particle Swarm Optimization Applied to Travelling Salesman Problem

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86100170" target="_blank" >RIV/61989100:27240/15:86100170 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/MCSoC.2015.18" target="_blank" >http://dx.doi.org/10.1109/MCSoC.2015.18</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MCSoC.2015.18" target="_blank" >10.1109/MCSoC.2015.18</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    GPU Particle Swarm Optimization Applied to Travelling Salesman Problem

  • Original language description

    Recently, the Graphic Processing Unit (GPUs) are used as an exciting new hardware environment for truly parallel implementation and execution of nature and Bio-inspired algorithms thanks to their excellent price-to-power ratio. Indeed, they are represented by the software platform using compute unified device architecture from NVIDIA, and the one of particle swarm optimization (PSO) which can be executed simultaneously on GPUs to speed up complex optimization problems such as Travelling Salesman Problem (TSP). In this paper, we illustrate a novel parallel approach to run standard particle swarm optimization PSO on GPUs and applied to TSP (GPU-PSO-A-TSP). Both the developed and the previous PSO centroid algorithm are implemented on the GPUs. The achieved results show that we have obtained at least one order of magnitude difference between speed of the GPUs and a typical sequential CPU implementation for performance optimization. Results show also that running speed of GPU-PSO is four times as fast as that of CPUP-SO.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    International symposium on embedded multicore/manycore systems-on-chip (MCSoC) : proceedings

  • ISBN

    978-1-4799-8670-5

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    112-119

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Turín

  • Event date

    Sep 23, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000380390400015