Analysis of application of distributed multi-node, multi-GPU heterogeneous system for acceleration of image reconstruction in Electrical Capacitance Tomography

• Autorzy: Majchrowicz M. , Kapusta P. , Jackowska-Strumiłło L.
• Języki publikacji: EN

Abstrakty

EN

3D ECT provides a lot of challenging computational issues that have been reported in the past by many researchers. Image 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 has to be able to transform capacitance data into image in fractions of seconds. 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 developing a new distributed platform, which would be able to fully utilize the potential of the hardware. It has to take into account specific nature of computations in Multi-GPU systems.

Słowa kluczowe

EN

3D ECT; image reconstruction; GPU

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2013
• Tom: Vol. 18, no. 2-3
• Strony: 109--117
• Opis fizyczny: Bibliogr. 23 poz., rys.

Twórcy

autor

Majchrowicz M.

• Institute of Applied Computer Science, Lodz University of Technology, Poland

autor

Kapusta P.

• Institute of Applied Computer Science, Lodz University of Technology, Poland

autor

Jackowska-Strumiłło L.

• Institute of Applied Computer Science, Lodz University of Technology, Poland

Bibliografia

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