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Using a GPU to Accelerate Electrical Impedance Tomography Algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124778" target="_blank" >RIV/00216305:26220/17:PU124778 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using a GPU to Accelerate Electrical Impedance Tomography Algorithms

  • Original language description

    This paper discusses parallelizing an algorithm for image reconstruction in EIT. A GPU NVIDIA platform with CUDA kernel was used for data processing. Introductory section comprises description of EIT and relevant practical applications. The following chapter outlines objective function with Tikhonov regularization and possibility of mathematical extension to increase image resolution. Besides we also characterize the modification of reconstruction algorithm with respect to computional speed. The achieved results are discussed with a survey of the achieved algorithm acceleration and related problems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of IIPhDW 2017 in Lodz

  • ISBN

    978-83-7283-858-2

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    59-63

  • Publisher name

    Neuveden

  • Place of publication

    Lodz, Polsko

  • Event location

    Lodz

  • Event date

    Sep 9, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article