Automatic Optimization for Large-Scale Real-Time Coastal Water Simulation

Abstract

We introduce an automatic optimization approach for the simulation of large-scale coastal water. To solve the singular problem of water waves obtained with the traditional model, a hybrid deep-shallow-water model is estimated by using an automatic coupling algorithm. It can handle arbitrary water depth and different underwater terrain. As a certain feature of coastal terrain, coastline is detected with the collision detection technology. Then, unnecessary water grid cells are simplified by the automatic simplification algorithm according to the depth. Finally, the model is calculated on Central Processing Unit (CPU) and the simulation is implemented on Graphics Processing Unit (GPU). We show the effectiveness of our method with various results which achieve real-time rendering on consumer-level computer.