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Efficient non-uniform grid for GPU-parallel Shallow Water Equations models

机译:用于GPU平行浅水方程式的高效非均匀网格

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A GPU parallelized finite volume scheme which solves the two dimensional Shallow Water Equations with multi-resolution is presented. Different levels of resolution are introduced by means of a novel type of grid called Block-Uniform Quadtree (BUQ), which is able to exploit the computational capability of GPUs with negligible overheads, allowing at the same time to reproduce small scale effects. The model has been tested by simulating floods propagation on a 38 km long reach of the Parma River (Italy) with a remarkable reduction of computational times and allocated memory, if compared with a Cartesian high-resolution grid.
机译:提出了一种解决具有多分辨率的二维浅水方程的GPU并行化有限体积方案。通过一种名为块 - 均匀的Quadtree(BUQ)的新型网格来引入不同程度的分辨率,该网格均可利用GPU的计算能力,其占架可以忽略不计,同时允许再现小规模效果。如果与笛卡尔高分辨率电网相比,通过模拟帕尔马河(意大利)的38公里范围内的洪水传播,通过模拟洪水传播进行了测试。

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