Title :
GPU-accelerated parallel algorithms for map algebra
Author :
Zhang, Jianbo ; Yang, Wenxin ; Sun, Jing ; Lv, Yonghong
Author_Institution :
Dept. of Software Eng., China Univ. of Geosci., Wuhan, China
Abstract :
Aiming at the low efficiency when traditional realization methods of map algebra apply to calculations for gigantic raster data, this paper maps the traditional serial algorithms to GPU parallel processing architecture on a new parallel programming model of GPU named Compute Unified Device Architecture. The paper also aims to discuss the realization mechanism surrounding parallel mapping methods from traditional serial algorithms to parallel algorithms and adaptive-parameter adjustments on computer graphic processor resources.
Keywords :
geographic information systems; mathematics computing; parallel algorithms; parallel architectures; parallel programming; Compute Unified Device Architecture; GPU parallel processing architecture; GPU-accelerated parallel algorithms; adaptive-parameter adjustments; computer graphic processor; map algebra; parallel programming model; serial algorithms; Algebra; Computational modeling; Computer architecture; Graphics processing unit; Hardware; Instruction sets; Parallel processing; CUDA; GPU; Map Algebra; Parallel Computation;
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
DOI :
10.1109/ESIAT.2010.5567202
