Parallel Visualization of Flow Field based on Streamline Similarity

摘要

The streamline visualization method can intuitively reveal the nature and change law of flow field. However, the streamline visualization method easily causes the disorder of visualization effect, which is especially serious in the 3D flow field. With the improvement of calculation accuracy, the time consumed by calculation in the streamline generation process also increases accordingly, which impacts the visualization efficiency. In view of the above problems existing in the streamline visualization method, this paper researches the parallel visualization method of flow field based on streamline similarity. First, this paper judges the streamline shape similarity through the feature points and designs the method for judging 3D streamline similarity by combing the methods for judging the distanced-based similarity between streamlines. This reduces the streamline disorder phenomena in visualization results. Second, this paper utilizes the parallel computing technology to improve the computational efficiency. On the basis of seed point parallel strategy, this paper proposes the parallel task partition method that combines the equal partition of tasks with repartition of redundant tasks. In view of the blocking wait that exists in parallel judgment of similarity, this paper proposes the cyclic check method based on a double-caching line to avoid the blocking wait problem, obviously reducing the flow field visualization time and effectively improving the flow field visualization efficiency.