Инд. авторы:	Rylov S.A.
Заглавие:	Parallel implementation of nonparametric clustering algorithm HCA-MS on GPU using CUDA
Библ. ссылка:	Rylov S.A. Parallel implementation of nonparametric clustering algorithm HCA-MS on GPU using CUDA // Communications in Computer and Information Science. - 2019. - Vol.998. - P.189-196. - ISSN 1865-0929. - EISSN 1865-0937.
Внешние системы:	DOI: 10.1007/978-3-030-12203-4_19; РИНЦ: 38679518; SCOPUS: 2-s2.0-85062559942;
Реферат:	eng: The present work explores nonparametric clustering algorithm HCA-MS. The combination of grid-based approach and Mean shift procedure allows the algorithm to discover arbitrary shaped clusters and to process large datasets, such as images. Parallel implementation of the HCA-MS algorithm on NVIDIA GPU using CUDA platform is presented. Provided experimental results on model data and multispectral images confirm the efficiency of the considered algorithm and its parallel implementation. The computation speedup on images was shown to be about 20x compared to 4 core CPU. © Springer Nature Switzerland AG 2019.
Ключевые слова:	Clustering; CUDA; Grid-based; Image segmentation; Mean shift; Nonparametric; Parallel computing; Engineering education; Graphics processing unit; Clustering algorithms; Non-parametric; Mean shift; Grid-based; GPGPU; CUDA; Clustering; Program processors; Parallel processing systems; Large dataset; Image segmentation; GPGPU;
Издано:	2019
Физ. характеристика:	с.189-196
Конференция:	Название: Международная конференция «Вычислительные и информационные технологии в науке, технике и образовании» Аббревиатура: CITech-2018 Город: Усть-Каменогорск Страна: Казахстан Даты проведения: 2018-09-25 - 2018-09-28 Ссылка: http://www.do.ektu.kz/citech-2018