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A GPU-Based Simulation of Tsunami Propagation and Inundation

机译:基于GPU的海啸传播和淹没模拟

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Tsunami simulation consists of fluid dynamics, numerical computations, and visualization techniques. Nonlinear shallow water equations are often used to model the tsunami propagation. By adding the friction slope to the conservation of momentum, it also can model the tsunami inundation. To solve these equations, we use the second order finite difference MacCormack method. Since it is a finite difference method, it brings the possibility to be parallelized. We use the parallelism provided by GPU to speed up the computations. By loading data as textures in GPU memory, the computation processes can be written as shader programs and the operations will be done by GPU in parallel. The results show that with the help of GPU, the simulation can get a significant improvement in the execution time for each of the computation steps.
机译:海啸模拟包括流体动力学,数值计算和可视化技术。非线性浅水方程通常用于模拟海啸传播。通过将摩擦斜率添加到动量守恒中,它还可以模拟海啸淹没。为了解决这些方程,我们使用二阶有限差分MacCormack方法。由于它是一种有限差分法,因此带来了并行化的可能性。我们使用GPU提供的并行性来加快计算速度。通过将数据作为纹理加载到GPU内存中,可以将计算过程编写为着色器程序,并且操作将由GPU并行完成。结果表明,借助GPU,仿真可以显着改善每个计算步骤的执行时间。

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