Ray casting visualization multi-user interaction processing method based on hadoop and CUDA

摘要

The present invention relates to the technical field of visualization in scientific computing, and specifically discloses a ray casting visualization multi-user interaction processing method based on Hadoop and CUDA. On one hand, the method of the present invention employs the parallel processing capability of Hadoop, MapReduce, and NVIDIA CUDA for accelerated rendering, and, on the other hand, the present invention designs a method to avoid duplicate computation for a multi-user interaction environment, thereby reducing the time consumption of duplicate computation. The method of the present invention realizes the fast operation of each pixel gradient, ray resampling and data synthesis and can accomplish the 3D visualization imaging rapidly and efficiently.