为提高散货船配载仪中船舶稳性计算速度,通过使用CUDA(Compute Unified Device Architecture)对稳性计算过程进行并行加速.首先基于CGAL(Computational Geometry Algorithms Library)中的切片模块按肋位纵向切割船体型表面,得到每个肋位处横剖面型值数据;然后对横剖面型值数据进行等距偏移模拟板厚,得到各肋位处的外板数据;然后将外板数据发往GPU;在GPU中通过水线面和外板数据求解并行计算雅克比矩阵系数;最后将雅可比矩阵系数传回CPU,求解稳性方程组.%This paper designs a method to accelerate calculation progress using the NVIDIA CUDA (Compute Unified Device Architecture). By using the slicing module in CGAL(Computational Geometry Algorithms Library), the offset table was obtained through longitudinally slicing 3D design surface; The shell data were gained by simplification and equidistant offsetting and sent to GPU; Jacobi matrix coefficients were gained parallelly by intersecting water plane and shell data; The Jacobi matrix coefficients were sent to CPU to solve equations. Our results show speed up of 6 to 10 times and the real time performance of the program is improved effectively.
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