7 August 2017 Parallel-hierarchical processing and classification of laser beam profile images based on the GPU-oriented architecture
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Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104450R (2017) https://doi.org/10.1117/12.2280975
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland
Abstract
The paper deals with a problem of insufficient productivity of existing computer means for large image processing, which do not meet modern requirements posed by resource-intensive computing tasks of laser beam profiling. The research concentrated on one of the profiling problems, namely, real-time processing of spot images of the laser beam profile. Development of a theory of parallel-hierarchic transformation allowed to produce models for high-performance parallel-hierarchical processes, as well as algorithms and software for their implementation based on the GPU-oriented architecture using GPGPU technologies. The analyzed performance of suggested computerized tools for processing and classification of laser beam profile images allows to perform real-time processing of dynamic images of various sizes.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrii A. Yarovyi, Leonid I. Timchenko, Volodymyr P. Kozhemiako, Nataliya I. Kokriatskaia, Rami R. Hamdi, Tamara O. Savchuk, Oleksandr O. Kulyk, Wojciech Surtel, Yedilkhan Amirgaliyev, Gulzhan Kashaganova, "Parallel-hierarchical processing and classification of laser beam profile images based on the GPU-oriented architecture", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104450R (7 August 2017); doi: 10.1117/12.2280975; https://doi.org/10.1117/12.2280975
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