用于光线追踪的多核数据流架构

Yoshiyuki Kaeriyama, Daichi Zaitsu, Ken-ichi Suzuki, Hiroaki Kobayashi, N. Ohba
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引用次数: 0

摘要

光线追踪是一种生成逼真图像的计算机图形技术。尽管它可以生成精确和逼真的图像,但它需要大量的计算。光线与物体的相交测试是影响光线追踪速度的主要因素之一。我们提出了一种新的并行处理架构,命名为rpl S,以加速光线追踪计算。rpl S通过使用基于平面光线投射的新算法来提高交叉测试的速度,数据流架构在多核环境下提供高效的数据供应。我们通过软件仿真估计了R PL S的未来SoC实现的性能,并显示了比传统CPU实现提高600倍的速度。
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Multi-core data streaming architecture for ray tracing
Ray tracing is a computer graphics technique to generate photo-realistic images. All though it can generate precise and realistic images, it requires a large amount of computation. The intersection test between rays and objects is one of the dominant factors of the ray tracing speed. We propose a new parallel processing architecture, named R PL S, for accelerating the ray tracing computation. R PL S boosts the speed of the intersection test by using a new algorithm based on ray-casting through planes, data streaming architecture offers highly efficient data provision in a multi-core environment. We estimate the performance of a future SoC implementation of R PL S by software simulation, and show 600 times speedup over a conventional CPU implementation.
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