Design of GPU Parallel Algorithm for Landscape Index Based on Virtual Reality Technology

With the rapid development of society and the continuous improvement of science and technology, people have higher and higher requirements for the quality of life. At the same time, they have put forward higher, stricter and more scientific requirements for the landscape index. Its main purpose is to simulate real scenes, and to model and analyze the simulation objects through virtual reality technology(VRT). Landscape index parallel planning based on VRT is an important research direction under the future development trend. This paper summarizes the existing achievements of various disciplines in the VR field through the analysis of related topics at home and abroad, and establishes a GPU parallel algorithm platform based on real data. The virtual model is used to combine the real scene with the virtual environment to reflect the visual simulation. Finally, according to the weight coefficient, the optimal planning scheme and the optimal design landscape index are calculated to verify the feasibility and effectiveness of the algorithm. The test results show that the running time of the GPU parallel algorithm fluctuates up and down in 20 seconds, the running efficiency of the algorithm is as high as 90%, and the parallel capacity is about 3500k. This shows that the performance of the CPU parallel algorithm meets user requirements.