Acceleration of image reconstruction in 3D Electrical Capacitance Tomography in heterogeneous, multi-GPU system using sparse matrix computations and Finite Element Method

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Abstract

3D Electrical Capacitance Tomography 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. Due to significant sizes of matrices used in ECT for image reconstruction and the fact that best image quality is achieved by using algorithms of which significant part is FEM and which are hard to parallelize or distribute. In order to solve these issues a new set of algorithms had to be developed.

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Kapusta, P., Majchrowicz, M., Sankowski, D., & Jackowska-Strumillo, L. (2016). Acceleration of image reconstruction in 3D Electrical Capacitance Tomography in heterogeneous, multi-GPU system using sparse matrix computations and Finite Element Method. In Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016 (pp. 679–683). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.15439/2016F344

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