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.
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