Accelerating Vector Based Spatial Analysis by Optimizing Data Transfers

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.