CUDA-based Parallel Visualization of 3D Data

Visualization in scientific computing is a new field of study proposed and developed in developed countries in the 20th century and the late 80's. Using Computer Graphics and Image processing techniques,3D data can be converted to graphics or images displayed on screen for interactive processing. The main methods include surface visualization and volume rendering. Ray-casting algorithm is the most classical method of volume rendering methods about 3D data,which has higher image quality but longer calculation time. CUDA-based programming technique using the GPU hypercore parallel computing function,can significantly improve the calculation speed,and realize the real-time visualization of large-scale 3D data.