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A Parallel Computing Algorithm for Geometric Interpolation Using Uniform B-splines Within GPU

机译:在GPU中使用均匀B样条进行几何插值的并行计算算法

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Background: This study implemented an algorithm geometrically interpolating a given polygon using uniform B-splines with parallel computing within GPU by OpenCL. Methodology: Parallel matrix calculation and multi-partition methods were proposed to accelerate computing ability. Results: The results showed the implementation within GPU had greater advantage in computing than CPU. Conclusion: The GPU?s implementation took less extra cost for improving the accuracy than CPU?s. The GPU had great value on high precision applications with numerous interpolated points.
机译:背景:本研究实施了一种算法,该算法使用统一的B样条在给定的多边形上进行几何插值,并通过OpenCL在GPU内进行并行计算。方法:提出了并行矩阵计算和多分区方法以提高计算能力。结果:结果表明,GPU内的实现比CPU具有更大的计算优势。结论:与CPU相比,GPU的实现花费更少的额外成本来提高精度。 GPU在具有众多插值点的高精度应用中具有巨大的价值。

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