基于CUDA的并行加速渲染算法

GPU可以快速有效的处理海量数据，因此在近些年成为图形图像数据处理领域的研究热点。针对现有GPU渲染中在处理含有大量相同或相似模型场景时存在资源利用率低下和带宽消耗过大的问题，在原有GPU渲染架构的基础上提出了一种基于CUDA的加速渲染方法。在该方法中，根据现有的GPU渲染模式构建对应的模型，通过模型找出其不足，从而引申出常量内存的概念；然后分析常量内存的特性以及对渲染产生的作用，从而引入基于常量内存控制的方法来实现渲染的加速，整个渲染过程可以通过渲染算法进行控制。实验结果表明，该方法对解决上述问题具有较好的效果，最终实现加速渲染。

Based on the parallel rendering algorithm in CUDA

GPU can deal with massive data quickly and efficiently, so in recent years, it becomes a research hotspot in the field of graphic images processing.In view of the existing GPU rendering in dealing with the scene model which contains a lot of the same or similar models has the problems of low utilization rate of resources and excessive bandwidth consumption, a method of accelerated rendering based on CUDA is proposed on the basis of the original shader architecture in GPU.In the method, building the corresponding model accord to the existing GPU rendering model, then finding out its deficiencies through model thus derivates constant memory concepts. Then analyzing the features of the constant memory and its effects on the renderng thus derivates a method based on constant memory to accelerate rendering,the whole rendering process can be controlled by rendering algorithm.The experimental results show that this method has a good effect to solve the above problems and accelerate rendering finally.