gpu上cpu风格的SIMD射线遍历

Alexander Lier, M. Stamminger, Kai Selgrad
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引用次数: 8

摘要

在本文中,我们描述并评估了cpu风格的SIMD射线遍历在GPU上的实现。我们展示了如何在一个warp中跨多个线程扩展适度宽的bvh(最多分支因子为8)可以提高性能,同时不需要昂贵的预处理。所提出的射线遍历方法具有更好的遍历性能,特别是对于越来越不相干的射线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CPU-style SIMD ray traversal on GPUs
In this paper we describe and evaluate an implementation of CPU-style SIMD ray traversal on the GPU. We show how spreading moderately wide BVHs (up to a branching factor of eight) across multiple threads in a warp can improve performance while not requiring expensive pre-processing. The presented ray-traversal method exhibits improved traversal performance especially for increasingly incoherent rays.
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