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Application of a GPU Based Hydrodynamic Model in Tsunami Simulations

机译:基于GPU的水动力模型在海啸模拟中的应用

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摘要

Tsunamis generated by earthquakes generally propagate as long wavesrnin the deep ocean and develop into sharp-fronted surges moving rapidlyrntowards the coast in shallow water, which may be effectively simulatedrnby hydrodynamic models solving the nonlinear shallow water equationsrn(SWEs). However, most of the existing tsunami models suffer fromrnlong simulation time for large-scale high-resolution real-worldrnapplications. In this work, a graphics processing unit (GPU) acceleratedrnfinite volume shock-capturing hydrodynamic model is presented forrnefficient tsunami simulations. The model is demonstrated tornconsistently save approximately 40 times of computational cost for allrnof the benchmark tests.
机译:地震产生的海啸一般会在深海中以长波传播,并发展成锋利的突波,在浅水中迅速向海岸移动,这可以通过求解非线性浅水方程的流体动力学模型有效地模拟。然而,大多数现有的海啸模型对于大型高分辨率的真实世界应用而言,其仿真时间太长。在这项工作中,提出了图形处理单元(GPU)加速有限体积捕捉水动力模型,以进行有效的海啸模拟。该模型被证明一致地为基准测试节省了大约40倍的计算成本。

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