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Multi-GPU, Multi-Node Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System †

Electrical capacitance tomography (ECT) is one of non-invasive visualization techniques which can be used for industrial process monitoring. However, acquiring images trough 3D ECT often requires performing time consuming complex computations on large size matrices. Therefore, a new parallel approac...

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Autores principales: Majchrowicz, Michał, Kapusta, Paweł, Jackowska-Strumiłło, Lidia, Banasiak, Robert, Sankowski, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013565/
https://www.ncbi.nlm.nih.gov/pubmed/32284509
http://dx.doi.org/10.3390/s20020391
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author Majchrowicz, Michał
Kapusta, Paweł
Jackowska-Strumiłło, Lidia
Banasiak, Robert
Sankowski, Dominik
author_facet Majchrowicz, Michał
Kapusta, Paweł
Jackowska-Strumiłło, Lidia
Banasiak, Robert
Sankowski, Dominik
author_sort Majchrowicz, Michał
collection PubMed
description Electrical capacitance tomography (ECT) is one of non-invasive visualization techniques which can be used for industrial process monitoring. However, acquiring images trough 3D ECT often requires performing time consuming complex computations on large size matrices. Therefore, a new parallel approach for 3D ECT image reconstruction is proposed, which is based on application of multi-GPU, multi-node algorithms in heterogeneous distributed system. This solution allows to speed up the required data processing. Distributed measurement system with a new framework for parallel computing and a special plugin dedicated to ECT are presented in the paper. Computing system architecture and its main features are described. Both data distribution as well as transmission between the computing nodes are discussed. System performance was measured using LBP and the Landweber’s reconstruction algorithms which were implemented as a part of the ECT plugin. Application of the framework with a new network communication layer reduced data transfer times significantly and improved the overall system efficiency.
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spelling pubmed-70135652020-03-09 Multi-GPU, Multi-Node Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System † Majchrowicz, Michał Kapusta, Paweł Jackowska-Strumiłło, Lidia Banasiak, Robert Sankowski, Dominik Sensors (Basel) Article Electrical capacitance tomography (ECT) is one of non-invasive visualization techniques which can be used for industrial process monitoring. However, acquiring images trough 3D ECT often requires performing time consuming complex computations on large size matrices. Therefore, a new parallel approach for 3D ECT image reconstruction is proposed, which is based on application of multi-GPU, multi-node algorithms in heterogeneous distributed system. This solution allows to speed up the required data processing. Distributed measurement system with a new framework for parallel computing and a special plugin dedicated to ECT are presented in the paper. Computing system architecture and its main features are described. Both data distribution as well as transmission between the computing nodes are discussed. System performance was measured using LBP and the Landweber’s reconstruction algorithms which were implemented as a part of the ECT plugin. Application of the framework with a new network communication layer reduced data transfer times significantly and improved the overall system efficiency. MDPI 2020-01-10 /pmc/articles/PMC7013565/ /pubmed/32284509 http://dx.doi.org/10.3390/s20020391 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Majchrowicz, Michał
Kapusta, Paweł
Jackowska-Strumiłło, Lidia
Banasiak, Robert
Sankowski, Dominik
Multi-GPU, Multi-Node Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System †
title Multi-GPU, Multi-Node Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System †
title_full Multi-GPU, Multi-Node Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System †
title_fullStr Multi-GPU, Multi-Node Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System †
title_full_unstemmed Multi-GPU, Multi-Node Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System †
title_short Multi-GPU, Multi-Node Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System †
title_sort multi-gpu, multi-node algorithms for acceleration of image reconstruction in 3d electrical capacitance tomography in heterogeneous distributed system †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013565/
https://www.ncbi.nlm.nih.gov/pubmed/32284509
http://dx.doi.org/10.3390/s20020391
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