Research On Volume Rendering Of CFD Scalar Data And Parallel Rendering

Improving the efficiency of unstructured grid volume rendering is an important research point of high efficient volume rendering. This paper researches on k-buffer process and optimization against inefficient fragment visibility ordering in image space.Paraview is a parallel open-source visualization application. It is benefit for parallel visualization of large scale dataset to research on integration technology of visualization algorithm to Paraview. This paper analyses the parallel frameworks of Paraview, researches on the extending technology and summarizes the extending technology and programming criterion of Paraview.The contributions and relevant work in the paper are as follows:1. At present, HAVS is one of the most important unstructured grid volume rendering algorithm frameworks based on GPU. This paper proposes an optimization algorithm against the low efficiency of sorting in k-buffer. We also test different k values and extend the range of k, which will increase the precision of the final image. The experimental results show that our optimization algorithm obviously improves the efficiency of HAVS.2. For the need of extending Paraview, this paper proposes the methods and criterion of parallel visualization program designing which based on plugin. And we verify the criterion by paralleling volume rendering algorithm and achive a filter and a mapper plugin for volume rendering. These criterions will guid users to parallel data visualization by plugin.3. For decreasing the work of extending Paraview, this paper proposes the criteria of directing extending Paraviewfor parallel viualization. We verify the criterion by paralleling unstructured grid volume rendering algorithm, which gives users a new way to extend Paraview.