The method of parallel-hierarchical transformation for rapid recognition of dynamic images using GPGPU technology
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| Status: | |
| Autorzy: | Timchenko Leonid I., Yarovyi Andrii, Kokriatskaya Nataliya I., Nakonechna Svitlana S., Abramenko Ludmila, Ławicki Tomasz, Popiel Piotr, Yesmakhanova Laura Nurlanovna |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Arkusze wydawnicze: | 0,5 |
| Język: | angielski |
| Strony: | 1460 - 1471 |
| Web of Science® Times Cited: | 5 |
| Scopus® Cytowania: | 11 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | Conference on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments |
| Skrócona nazwa konferencji: | SPIE-IEEE-PSP 2016 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 29 maja 2016 do 6 czerwca 2016 |
| Miasto konferencji: | Wilga |
| Państwo konferencji: | POLSKA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The paper presents a method of parallel-hierarchical transformations for rapid recognition of dynamic images using GPU technology. Direct parallel-hierarchical transformations based on cluster CPU-and GPU-oriented hardware platform. Mathematic models of training of the parallel hierarchical (PH) network for the transformation are developed, as well as a training method of the PH network for recognition of dynamic images. This research is most topical for problems on organizing high-performance computations of super large arrays of information designed to implement multi-stage sensing and processing as well as compaction and recognition of data in the informational structures and computer devices. This method has such advantages as high performance through the use of recent advances in parallelization, possibility to work with images of ultra dimension, ease of scaling in case of changing the number of nodes in the cluster, auto scan of local network to detect compute nodes. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only. |
