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- W4387650851 abstract "Ship wave is of great interest for wave drag, coastal erosion and ship detection. In this paper, a highly-paralleled numerical scheme is proposed for simulating three-dimensional (3-D) nonlinear Kelvin ship waves effectively. First, a numerical model for nonlinear ship waves is established based on potential flow theory, boundary integral method and Jacobian-free Newton-Krylov (JFNK) method. In order to improve computational efficiency and reduce data storage of JFNK method, a banded preconditioner method is then developed by formulating the optimal bandwidth selection rule. After that, a Graphics Process Unit (GPU) based parallel computing framework is designed, and a GPU solver is developed by using Compute Unified Device Architecture (CUDA) language. Finally, numerical simulations of 3-D nonlinear ship waves under multiple scales are performed by using the GPU and CPU solvers. Simulation results show that the proposed GPU solver is more efficient than the CPU solver with the same accuracy. More than 66% GPU memory can be saved and the computational speed can be accelerated up to 20 times. Hence, the computation time for Kelvin ship waves simulation can be significantly reduced by applying the GPU parallel numerical scheme, which lays a solid foundation for practical ocean engineering." @default.
- W4387650851 created "2023-10-16" @default.
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- W4387650851 date "2023-10-10" @default.
- W4387650851 modified "2023-10-16" @default.
- W4387650851 title "A GPU Accelerated Method for 3-D Nonlinear Kelvin Ship Wave Patterns Simulation" @default.
- W4387650851 doi "https://doi.org/10.20944/preprints202310.0526.v1" @default.
- W4387650851 hasPublicationYear "2023" @default.
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