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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Published inSensors (Basel, Switzerland) Vol. 20; no. 2; p. 391
Main Authors Majchrowicz, Michał, Kapusta, Paweł, Jackowska-Strumiłło, Lidia, Banasiak, Robert, Sankowski, Dominik
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 10.01.2020
MDPI
Subjects
Acceleration
Accuracy
Algorithms
Boundary conditions
Capacitance
Computer architecture
Data processing
Data transfer (computers)
distributed systems
Electric fields
electrical capacitance tomography
Electrodes
Energy
Field programmable gate arrays
Graphics processing units
heterogeneus system
Image acquisition
Inverse problems
Measurement techniques
multi-gpu computations
Sensors
Software
Tomography
distributed systems
heterogeneus system
electrical capacitance tomography
multi-GPU computations
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Summary: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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This work is an extended version of conference paper published in: Majchrowicz, M.; Kapusta, P.; Jackowska-Strumiłło, L.; Sankowski, D. Acceleration of 3D ECT image reconstruction in heterogeneous, multi-GPU, multi-node distributed system. In Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, Poznan, Poland, 9–12 September 2018; pp. 347–350.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20020391