Distributed Smoke Simulation System with Adaptive Task Segmentation
Jinhao Hu, Jinlian Du · 2023
The application of GPU to accelerate large-scale smoke simulation is a hot research topic in computational fluid dynamics. However, the current smoke parallel computing methods for different scale smoke flow field, there are some problems, such as the need to manually adjust some algorithms, task allocation does not consider the difference between the nodes computing power. In order to meet the adaptive requirements of smoke parallel computing, a distributed smoke simulation system with adaptive task partitioning is designed. The computing power of nodes and the transmission cost of data exchange are fully considered. The problem of boundary data synchronization is solved and the correctness of parallel computing results is ensured.