构造均匀网格的并行算法

Javor Kalojanov, P. Slusallek
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引用次数: 105

摘要

我们提出了一种快速、并行的GPU算法,用于构建用于光线追踪的均匀网格,并在CUDA中实现。算法的性能不依赖于原语分布,因为我们将问题简化为对原语和单元格索引进行排序。我们的实现能够充分利用GPU的并行架构,并且构建速度比在多核上运行的CPU算法更快。它的可扩展性和鲁棒性使其优于其他方法,特别是对于具有复杂原语分布的场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A parallel algorithm for construction of uniform grids
We present a fast, parallel GPU algorithm for construction of uniform grids for ray tracing, which we implement in CUDA. The algorithm performance does not depend on the primitive distribution, because we reduce the problem to sorting pairs of primitives and cell indices. Our implementation is able to take full advantage of the parallel architecture of the GPU, and construction speed is faster than CPU algorithms running on multiple cores. Its scalability and robustness make it superior to alternative approaches, especially for scenes with complex primitive distributions.
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