| Инд. авторы: | Rylov S.A., Pestunov I.A. |
| Заглавие: | Fast hierarchical clustering of multispectral images and its implementation on NVIDIA GPU |
| Библ. ссылка: | Rylov S.A., Pestunov I.A. Fast hierarchical clustering of multispectral images and its implementation on NVIDIA GPU // Journal of Physics: Conference Series. - 2018. - Vol.1096. - Art.012039. - ISSN 1742-6588. - EISSN 1742-6596. |
| Внешние системы: | DOI: 10.1088/1742-6596/1096/1/012039; РИНЦ: 38661507; SCOPUS: 2-s2.0-85058999554; |
| Реферат: | eng: The present work presents a parallel implementation of the hierarchical grid-based clustering algorithm HCA on GPU using CUDA technology that substantially reduced the processing time of multispectral images. Provided experimental results on model datasets and images confirm the efficiency of the HCA clustering algorithm and its parallel implementation. The computation speedup was shown to be 10-15x compared to 4 core CPU. © 2018 Institute of Physics Publishing. All rights reserved. |
| Ключевые слова: | Parallel implementations; Nvidia gpu; Multispectral images; Hierarchical Grid; Clustering algorithms; CUDA technologies; Nanotechnology; Graphics processing unit; Hier-archical clustering; Processing time; |
| Издано: | 2018 |
| Физ. характеристика: | 012039 |
| Конференция: | Название: IV Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» Город: Самара Страна: Россия Даты проведения: 2018-04-24 - 2018-04-27 |