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The massive data parallel computing power provided by inexpensive commodity Graphics Processing Units(GPUs) makes large-scale spatial data processing on GPUs and GPU-accelerated clusters attractive from both a research and practical perspective. In this article, we report our works on data parallel designs of spatial indexing, spatial joins and several other spatial operations, including polygon rasterization, polygon decomposition and point interpolation. The data parallel designs are furtherdoi:10.1145/2766196.2766201 fatcat:263nzf6ojbhqnaruvovsxqqog4