Новітні архітектури відеоадаптерів. Технологія GPGPU. Частина 2

Autor:	D. Yu. Vitel, O. A. Vereshchynsky, S. D. Pogorilyy
Rok vydání:	2013
Předmět:	CUDA Computer science Distributed memory Thread (computing) Parallel computing ComputerSystemsOrganization_PROCESSORARCHITECTURES Software_PROGRAMMINGTECHNIQUES General-purpose computing on graphics processing units Kepler GeneralLiterature_MISCELLANEOUS ComputingMethodologies_COMPUTERGRAPHICS
Zdroj:	Реєстрація, зберігання і обробка даних. 15:71-81
ISSN:	1560-9189
DOI:	10.35681/1560-9189.2013.15.1.103367
Popis:	General principles of a shared and distributed memory are described in detail for NVidia CUDA technology. Basic patterns of the thread interaction and globals synchronization problems are analyzed. A comparative analysis of the main GPGPU technologies — Nvidia CUDA, OpenCL, Direct Compute — has been provided. Tabl.: 3. Fig.: 3. Refs: 9 titles.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c9a06b56a13ffe42e17015eff8fdd123 https://doi.org/10.35681/1560-9189.2013.15.1.103367 Zobrazit plný text záznamu