Speaker
Ms
Victoria Tokareva
(JINR)
Description
Significant improvement of detector resolution and, consequently, rapid growth of acquired data amounts, typical for evolving modern tomographic systems, demands development of more efficient image reconstruction software. A Medipix semiconductor detector with 55 μm spatial resolution and a cone-beam scanning scheme are used for taking projections in a microCT scanner MARS, being run at the Dzhelepov Laboratory of Nuclear Problems of JINR. The FDK algorithm realization developed at JINR, which is currently used for image reconstruction, requires a significant time to process the data. Its reducing is a priority task. For this purpose, parallel implementations of the reconstruction algorithm using OpenMP, MPI, and CUDA technologies have been developed and deployed for calculations on heterogeneous computing systems. A comparative analysis of the developed parallel implementations has been done, the results on calculation speedup and efficiency are presented. The computations were performed on the heterogeneous cluster HybriLIT at the JINR Laboratory of Information Technologies.
Primary authors
Andrei Gridin
(Russian Federation)
Ms
Victoria Tokareva
(JINR)
Co-authors
Mr
Anvar Khakimov
(Saint Petersburg State University)
Mr
Maxim Lapin
(”Dubna” International University)
Mr
Maxim Zuev
(JINR)
Dr
Oksana Streltsova
(JINR)
