УДК: 004.272.2 519.245

Implementation of the sequential Monte Carlo method in systems with massive parallelism for processing images in optical coherent tomography

Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Скаков П.С., Гуров И.П. Реализация последовательного метода Монте-Карло в системах с массовым параллелизмом для обработки изображений в оптической когерентной томографии // Оптический журнал. 2015. Т. 82. № 8. С. 61–65.

Skakov P.S., Gurov I.P. Implementation of the sequential Monte Carlo method in systems with massive parallelism for processing images in optical coherent tomography [in Russian] // Opticheskii Zhurnal. 2015. V. 82. № 8. P. 61–65.

For citation (Journal of Optical Technology):

P. S. Skakov and I. P. Gurov, "Implementation of the sequential Monte Carlo method in systems with massive parallelism for processing images in optical coherent tomography," Journal of Optical Technology. 82(8), 538-541 (2015). https://doi.org/10.1364/JOT.82.000538

Abstract:

This paper discusses features of the use of systems with massive parallelism, using as an example graphic processors for the efficient implementation of the sequential Monte Carlo method (SMCM) in the case of data processing in optical coherent tomography. The dependence of the response rate of the SMCM implementations is studied in various software and hardware configurations. It is shown that it is expedient to use the OpenCL platform to implement the SMCM, including the case in which only a general-purpose processor is used. It is shown that computations are efficient on graphical processors, and this made it possible to process a three-dimensional tomographic image with a size of 1280×1022×376 readings in 30 sec, using the SMCM.

Keywords:

sequential Monte Carlo method, GPGPU, interferometric signals analysis

Acknowledgements:

This work was carried out with the support of the Ministry of Education and Science of the Russian Federation.

OCIS codes: 100.2000 100.6950

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