학술논문
High Performance Processing and Analysis of Geospatial Data Using CUDA on GPU
Document Type
article
Author
Source
Advances in Electrical and Computer Engineering, Vol 14, Iss 4, Pp 109-114 (2014)
Subject
Language
English
ISSN
1582-7445
1844-7600
1844-7600
Abstract
In this paper, the high-performance processing of massive geospatial data on many-core GPU (Graphic Processing Unit) is presented. We use CUDA (Compute Unified Device Architecture) programming framework to implement parallel processing of common Geographic Information Systems (GIS) algorithms, such as viewshed analysis and map-matching. Experimental evaluation indicates the improvement in performance with respect to CPU-based solutions and shows feasibility of using GPU and CUDA for parallel implementation of GIS algorithms over large-scale geospatial datasets.