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An adaptive subdivision algorithm and parallel architecture for realistic image synthesis

机译:自适应细分算法和并行架构,用于逼真的图像合成

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摘要

An algorithm for computing ray traced pictures is presented, which adaptively subdivides scenes into S subregions, each with roughly uniform load. It can yield speedups of O(S2/3) over the standard algorithm.

This algorithm can be mapped onto a parallel architecture consisting of a three dimensional array of computers which operate autonomously. The algorithm and architecture are well matched, so that communication overhead is small with respect to the computation, for sufficiently complex scenes. This allows close to linear improvements in performance, even with thousands of computers, in addition to the improvement due to subdivision.

The algorithm and architecture provide mechanisms to gracefully degrade in response to excessive load. The architecture also tolerates failures of computers without errors in the computation.

机译:

提出了一种计算光线跟踪图片的算法,该算法将场景自适应地细分为 S 子区域,每个子区域具有大致均匀的负载。与标准算法相比,它可以提高 O S 2/3 )的速度。

此算法可以映射到一个并行体系结构,该体系结构由可自主运行的三维计算机阵列组成。该算法和体系结构很好地匹配,因此对于足够复杂的场景,相对于计算而言,通信开销很小。除了细分带来的改善之外,这甚至可以使成千上万的计算机实现近乎线性的性能改善。

该算法和体系结构提供了一些机制来响应过多的负载而正常降级。该体系结构还可以容忍计算机故障,而不会出现计算错误。

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