
ACCELERATION OF IMAGE RECONSTRUCTION PROCESS IN THE ELECTRICAL CAPACITANCE TOMOGRAPHY 3D IN HETEROGENEOUS, MULTI-GPU SYSTEM
Author(s) -
Michał Majchrowicz,
Paweł Kapusta,
Lidia Jackowska-Strumiłło,
Dominik Sankowski
Publication year - 2017
Publication title -
informatyka, automatyka, pomiary w gospodarce i ochronie środowiska
Language(s) - English
Resource type - Journals
eISSN - 2391-6761
pISSN - 2083-0157
DOI - 10.5604/01.3001.0010.4579
Subject(s) - electrical capacitance tomography , visualization , iterative reconstruction , capacitance , computer science , acceleration , process (computing) , tomography , capacitive sensing , computer vision , artificial intelligence , optics , physics , electrode , classical mechanics , quantum mechanics , operating system
Electrical capacitance tomography is an innovative method for visualization of industrial processes. One of its main advantages is it’s high time resolution that allows to the usage of ECT in systems with high volatility. In recent years there has been significant development of electrical capacitance tomography 3D, which however, has significantly reduced industrial it’s applications due to the complicated process of image reconstruction. The authors propose the use of multi-node, multi-GPU system to accelerate the process of image reconstruction in ECT 3D.