论场景结构对硬件加速光线追踪的重要性

Martin Káčerik, Jiří Bittner
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引用次数: 0

摘要

光线追踪通常通过将场景几何结构组织到加速数据结构中来加速。硬件加速光线追踪,可通过现代图形api获得,向加速结构(AS)构建器公开一个接口,该接口根据输入场景几何构造它。然而,这个过程是不透明的,对内部算法的了解和控制有限。通过AS构建器输入数据的布局提供额外的控制,以用户定义的方式构建场景的几何形状。在这项工作中,我们评估了在硬件加速光线追踪的背景下,不同的场景结构对光线-三角形相交的运行时性能的影响。我们讨论了同一场景显著不同结果(高达1.4倍)的可能原因,并确定了通过自动输入结构优化降低成本的潜力。
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On Importance of Scene Structure for Hardware-Accelerated Ray Tracing
Ray tracing is typically accelerated by organizing the scene geometry into an acceleration data structure. Hardware-accelerated ray tracing, available through modern graphics APIs, exposes an interface to the acceleration structure (AS) builder that constructs it given the input scene geometry. However, this process is opaque, with limited knowledge and control over the internal algorithm. Additional control is available through the layout of the AS builder input data, the geometry of the scene structured in a user-defined way. In this work, we evaluate the impact of a different scene structuring on the run time performance of the ray-triangle intersections in the context of hardware-accelerated ray tracing. We discuss the possible causes of significantly different outcomes (up to 1.4 times) for the same scene and identify a potential to reduce the cost by automatic input structure optimization.
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