基于CUDA的电磁场快速体绘制研究

Electromagnetic Field Volume Rendering Based on CUDA

电磁场数据的生成和体绘制是密集型计算,且十分耗时。为了实现数据的快速生成,提出基于CUDA加速的电磁场数据计算框架,亦即将大量的传播模型计算移植到GPU中。同时,为了达到可交互性,将光线投射算法移植到GPU上执行。鉴于电磁场数据的特点,提出相交投影的概念,并利用其判断光线与数据场的相交情况。仿真结果显示,基于CUDA的数据生成可以达到158的加速比,光线投射算法也能以高达63的帧速进行绘制,满足了实时性和交互性要求。

Electromagnetic field data generation and volume rendering are dense computation and time-consuming on CPU. To meet the requirements of rapid computation, the CUDA-based architecture of electromagnetic field data genera-tion and ray casting rendering algorithm were designed respectively for GPU＇s highly parallel ability. Considering of the characteristics of electromagnetic field data, a method to judge ray and data intersection was presented which utilizes 3D data＇s projection on detector along view direction. Simulation test results show that data generation on GPU can achieve a speedup of 158 than on CPU, and ray casting algorithm renders in high FPS perfectly.