Parallel SAH k-D tree construction

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Parallel SAH k-D tree construction
The k-D tree is a well-studied acceleration data structure for ray tracing. It is used to organize primitives in a scene to allow efficient execution of intersection operations between rays and the primitives. The highest quality k-D tree can be obtained using greedy cost optimization based on a surface area heuristc (SAH). While the high quality enables very fast ray tracing times, a key drawback is that the k-D tree construction time remains prohibitively expensive. This cost is unreasonable for rendering dynamic scenes for future visual computing applications on emerging multicore systems. Much work has therefore been focused on faster parallel k-D tree construction performance at the expense of approximating or ignoring SAH computation, which produces k-D trees that degrade rendering time. In this paper, we present two new parallel algorithms for building precise SAH-optimized k-D trees, with different tradeoffs between the total work done and parallel scalability. The algorithms ...
Byn Choi, Rakesh Komuravelli, Victor Lu, Hyojin Su
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where EGH
Authors Byn Choi, Rakesh Komuravelli, Victor Lu, Hyojin Sung, Robert L. Bocchino Jr., Sarita V. Adve, John C. Hart
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