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Fast GPU perspective grid construction and triangle tracing for exhaustive ray tracing of highly coherent rays

机译:快速GPU透视网格构建和三角形跟踪,可对高相干光线进行详尽的光线跟踪

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In this article, we address the problem of computing, storing and sorting, at an interactive rate, all of the intersections between millions of triangles (a 3D scene) and millions of rays starting from the same point. In this paper we focus on the fast GPU construction of a grid in projective space referencing the triangles of a 3D scene. We introduce a fast GPU algorithm used to build a grid of the rays constituting the scene, in the same projective space. This ray-based grid is computed during the initialization of the scene, which allows us to achieve higher performance, and to construct the triangle-based grid in distinct passes for very large scenes, without having to manage memory transfers between CPU and GPU. This algorithm works the same way for both static and dynamic scenes, allowing us to achieve interactive processing of complex and dynamic scenes. These optimizations are used to speed up the geometrical computations used in the nuclear field to evaluate the impact of radiative sources on an operator. These geometrical computations are similar to those of traditional ray tracing, except that only highly coherent rays are thrown in our application, and that we are looking for all intersections along each ray.
机译:在本文中,我们以交互速率解决了数百万个三角形(一个3D场景)和数百万条从同一点开始的光线之间的所有交点的计算,存储和排序问题。在本文中,我们专注于在投影空间中参照3D场景的三角形快速构建网格的GPU。我们介绍了一种快速GPU算法,该算法用于在相同的投影空间中构建构成场景的光线网格。这种基于射线的网格是在场景初始化期间进行计算的,这使我们可以实现更高的性能,并且可以针对非常大的场景在不同的通道中构造基于三角形的网格,而无需管理CPU和GPU之间的内存传输。该算法对静态和动态场景的工作方式相同,从而使我们能够实现复杂和动态场景的交互处理。这些优化用于加速核领域中使用的几何计算,以评估辐射源对操作员的影响。这些几何计算与传统射线跟踪的几何计算类似,不同的是在我们的应用程序中仅抛出高度相干的射线,并且我们正在寻找沿每个射线的所有交点。

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