A machine learning approach for predicting computational intensity and domain decomposition in parallel geoprocessing

Autor:	Fan Gao, Boyi Shangguan, Zheren Yan, Peng Yue
Rok vydání:	2020
Předmět:	Computer science Geography Planning and Development Geoprocessing Domain decomposition methods Parallel computing Library and Information Sciences Load balancing (computing) Supercomputer GeneralLiterature_MISCELLANEOUS Geospatial big data Information Systems
Zdroj:	International Journal of Geographical Information Science. 34:2243-2274
ISSN:	1362-3087 1365-8816
DOI:	10.1080/13658816.2020.1730850
Popis:	High performance computing is required for fast geoprocessing of geospatial big data. Using spatial domains to represent computational intensity (CIT) and domain decomposition for parallelism are p...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::018e0e4082d896bed14553928fc7187b https://doi.org/10.1080/13658816.2020.1730850 Zobrazit plný text záznamu Plný text ve formátu PDF