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High-order entropy stable discontinuous Galerkin methods for the shallow water equations: Curved triangular meshes and GPU acceleration
Computers & Mathematics with Applications ( IF 2.9 ) Pub Date : 2020-12-03 , DOI: 10.1016/j.camwa.2020.11.006
Xinhui Wu , Ethan J. Kubatko , Jesse Chan

We present a high-order entropy stable discontinuous Galerkin (ESDG) method for the two dimensional shallow water equations (SWE) on curved triangular meshes. The presented scheme preserves a semi-discrete entropy inequality and remains well-balanced for continuous bathymetry profiles. We provide numerical experiments which confirm the high-order accuracy and theoretical properties of the scheme, and compare the presented scheme to an entropy stable scheme based on simplicial summation-by-parts (SBP) finite difference operators. Finally, we report the computational performance of an implementation on Graphics Processing Units (GPUs) and provide comparisons to existing GPU-accelerated implementations of high-order DG methods on quadrilateral meshes.



中文翻译:

浅水方程组的高阶熵稳定不连续Galerkin方法:弯曲三角形网格和GPU加速度

我们针对弯曲三角网格上的二维浅水方程组(SWE),提出了一种高阶熵稳定不连续伽勒金(ESDG)方法。提出的方案保留了一个半离散的熵不等式,并为连续测深图保持了良好的平衡。我们提供了数值实验,证实了该方案的高阶精度和理论性质,并将所提出的方案与基于简单部分求和(SBP)有限差分算子的熵稳定方案进行了比较。最后,我们报告了在图形处理单元(GPU)上实现的计算性能,并与四边形网格上现有的GPU加速的高级DG方法的实现进行了比较。

更新日期:2020-12-03
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