Point in Polygon Tests Using Hardware Accelerated Ray Tracing

Moritz Laass
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引用次数: 1

Abstract

Recent generations of GPUs have seen the introduction of hardware-accelerated ray tracing algorithms that are suitable for real-time use. They provide hardware for massively parallel ray-geometry intersection computations, indicating a highly optimized spatial data structure derived from arbitrary triangle-based geometries. Spatial join is an ubiquitous problem in spatial databases, GIS applications, spatial statistics, and similar applications. On a fundamental level, spatial joins are based on point in polygon tests (PIP). We suggest exploiting the capabilities of ray tracing hardware to perform fast parallel point in polygon tests in order to implement hardware-accelerated spatial joins.
使用硬件加速光线追踪的多边形测试中的点
最近几代gpu已经引入了适合实时使用的硬件加速光线追踪算法。它们为大规模并行射线几何相交计算提供了硬件,表明了从任意基于三角形的几何导出的高度优化的空间数据结构。空间连接是空间数据库、GIS应用、空间统计和类似应用中普遍存在的问题。在基本层面上,空间连接基于点多边形测试(PIP)。我们建议利用光线追踪硬件的能力,在多边形测试中执行快速平行点,以实现硬件加速的空间连接。
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