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

Abstract

Electrical Capacitance Tomography is a non-invasive imaging technique, which allows visualization of the industrial processes interior and can be applied to many branches of the industry. Image reconstruction process, especially in case of 3D images, is a very time consuming task (when using classic processors and algorithms), which in turn leads to an unacceptable waiting time and currently limits the use of 3D Electrical Capacitance Tomography. Reconstruction using deterministic methods requires execution of many basic operations of linear algebra, such as matrix transposition, multiplication, addition and subtraction. In order to reach real-time reconstruction a 3D ECT computational subsystem must be able to transform capacitance data into images in a fraction of a second. By assuming, that many of the computations can be performed in parallel using modern, fast graphics processor and by altering the algorithms, time to achieve high quality image reconstruction will be shortened significantly. The research conducted while analysing ECT algorithms has also shown that, although dynamic development of GPU computational capabilities and its recent application for image reconstruction in ECT has significantly improved calculations time, in modern systems a single GPU is not enough to perform many tasks. Distributed Multi-GPU solutions can reduce reconstruction time to only a fraction of what was possible on pure CPU systems. Nevertheless performed tests clearly illustrate the need for further optimizations of previously developed algorithms.

Construction of an Ultrasonic Tomograph for Analysis of Technological Processes in the Field of Reflection and Transmission Waves

“…Measuring technologies are still being improved. There is a clear tendency to implement more optimal solutions with an emphasis on active control and optimization [11][12][13][14][15][25][26][27]. There are many numerical methods [1-4, 17, 24, 28, 29], but in order to solve the inverse problem, ultrasound tomography [5][6][7][8][9][10]16] can be used.…”

Design of Innovative Measurement Systems in Ultrasonic Tomography

“…There are many techniques and numerical methods for examining objects on their edge [1][2][3][4][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. Ultrasound tomography has found wide application due to the possibility of imaging in a non-invasive way in medicine, automotive industry, construction industry, chemical industry, military, etc.…”

Ultrasound tomography measuring system for acquisition and analysis data

“…There is a clear tendency in the industry to implement more optimal related functions with an emphasis on active inspection and monitoring [24][25][26][18][19][20][21][22]. There are many optimization methods [1,[8][9][10][11][12][13][14][15], but to solve the inverse problem in the ultrasound tomography can use [2][3][4][5][6][7]16,17,23].…”