Title :
Accelerating Vector Based Spatial Analysis by Optimizing Data Transfers
Author :
Shulin Cui ; Shuqing Zhang ; Jun Zhang
Author_Institution :
Sch. of Adv. Comput., Sun Yat-sen Univ., Guangzhou, China
Abstract :
The main goal of this article is to discuss how to accelerate vector based spatial analysis by optimizing data transfers in CUDA C. First we give a new data transfers method based on geometry objects. Then we discuss how to overlap data transfers with computation on GPU. Furthermore we compare the new GPU-based methods with the CPU-based method by using Point-In-Polygon operation. The experimental results show that the new methods are efficient in computation.
Keywords :
C language; electronic data interchange; graphics processing units; parallel architectures; CPU-based method; CUDA C; GPU-based method; data transfer method; point-in-polygon operation; vector-based spatial analysis; Acceleration; Computers; Data transfer; Geometry; Graphics processing units; Instruction sets; Kernel; CUDA; GPU-based; overlap data transfers;
Conference_Titel :
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6849-0
DOI :
10.1109/ICISCE.2015.29
