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Acceleration of Acoustic Emission Signal Processing Algorithms using CUDA Standard

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00174705" target="_blank" >RIV/68407700:21230/11:00174705 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.csi.2010.12.003" target="_blank" >http://dx.doi.org/10.1016/j.csi.2010.12.003</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.csi.2010.12.003" target="_blank" >10.1016/j.csi.2010.12.003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Acceleration of Acoustic Emission Signal Processing Algorithms using CUDA Standard

  • Original language description

    This paper proposes a way to accelerate signal processing methods for acoustic emission and to accelerate similarity calculation using the Graphic Processing Unit (GPU). GPU-based accelerators are an affordable High Performance Computing (HPC) solution which can be used in any industrial workstation or laptop. They are therefore suitable for onsite AE monitoring.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Computer Standards & Interfaces

  • ISSN

    0920-5489

  • e-ISSN

  • Volume of the periodical

    33

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    12

  • Pages from-to

    389-400

  • UT code for WoS article

    000290194700004

  • EID of the result in the Scopus database