Analysis of Application of Distributed Multi-Node, Multi-Gpu Heterogeneous System for Acceleration of Image Reconstruction in Electrical Capacitance Tomography

Michał Majchrowicz, Paweł Kapusta, Lidia Jackowska-Strumiłło, Dominik Sankowski

Abstract


3D ECT provides a lot of challenging computational issues that have been reported in the past by many researchers. Image recon- struction using deterministic methods requires execution of many basic operations of linear al- gebra, such as matrix transposition, multipli- cation, addition and subtraction. In order to reach real-time reconstruction a 3D ECT com- putational subsystem has to be able to trans- form 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 alter- ing the algorithms time to achieve high quality image reconstruction will be shortened signifi- cantly. The research conducted while analysing ECT algorithms has also shown that, although dynamic development of GPU computational capabilities and its recent application for im- age reconstruction in ECT has significantly im- proved calculations time, in modern systems

a single GPU is not enough to perform many tasks. Distributed Multi-GPU solutions can re- duce reconstruction time to only a fraction of what was possible on pure CPU systems. Nev- ertheless performed tests clearly illustrate the need for developing a new distributed platform, which would be able to fully utilize the poten- tial of the hardware. It has to take into account specific nature of computations in Multi-GPU systems. 


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