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Accelerating Physical Rainbow Model with CUDA

机译:使用CUDA加速物理Rainbow模型

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Currently Lorenz-Mie theory is the most accurate technique to simulate rainbows. However, it is still very attractive to use a model based on geometric optics to simulate rainbows, even methods based on geometric optics are not accurate enough. Since the droplets in the nature are non-spherical due to gravity and surface tension, Lorenz-Mie theory has difficult in handling non-spherical droplets, but they are easy for ray tracers. Sadeghi et al. develop a model based on geometric optics and do some extra work to match the prediction of Lorenz-Mie theory. However, the model takes much time on calculating to get sufficiently accurate phase function of droplets. In this paper, we firstly implement the model on PBRT, and then accelerate it with CUDA. The experiment results demonstrate that our acceleration algorithm greatly improves the speed of the model.
机译:目前,洛伦兹·米氏理论是模拟彩虹的最准确技术。但是,即使基于几何光学的方法不够精确,使用基于几何光学的模型来模拟彩虹仍然非常有吸引力。由于自然界中的液滴由于重力和表面张力而为非球形,因此Lorenz-Mie理论很难处理非球形液滴,但对于光线示踪剂来说很容易。 Sadeghi等。开发基于几何光学的模型,并做一些额外的工作来匹配Lorenz-Mie理论的预测。但是,该模型需要花费大量时间进行计算才能获得足够准确的液滴相位函数。在本文中,我们首先在PBRT上实现该模型,然后使用CUDA对其进行加速。实验结果表明,我们的加速算法大大提高了模型的速度。

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