GPUS can deal with massive data quickly and efficiently. Therefore

in recent years

it becomes a research hotspot in the field of images processing.The existing GPU rendering algorithms have a low utilization rate of resources and excessive bandwidth consumption in dealing with scene models containing a lot of the same or similar models. Therefore

a method of accelerated rendering based on CUDA is proposed on the basis of the original shader architecture in the GPU.In our method

building the corresponding model according to the existing GPU rendering model

and then finding out its deficiencies through model thus derivate constant memory concepts. Then analyzing the features of the constant memory and its effects on the rendering

thus deriving a method based on constant memory to accelerate rendering. The whole rendering process can be controlled by the rendering algorithm.The experimental results show that this method has a good effect to solve the above problems and accelerate rendering finally