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Simplified novel look-up table method using compute unified device architecture

机译:使用计算统一设备架构的简化的新颖查找表方法

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In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e. preparation of the principle fringe patterns, hologram synthesis by accessing and superimposing the appropriate principal fringe patterns and finally the optical reconstruction at various depths. The proposed method was tested for a simple 3D object consisting of many points located at different depths and compared to that of the CPU. Our simulation results confirm that the GPU implementation is much faster than that of the CPU.
机译:在这项研究中,我们利用新颖的查找表方法,利用了数字全息照相过程中涉及的计算的并行性。我们利用支持CUDA的GPU来加速数字全息的每个步骤,即准备基本条纹图案,通过访问和叠加适当的主要条纹图案并进行全息图合成以及最终在不同深度进行光学重建。针对由多个位于不同深度的点组成的简单3D对象进行了测试,并与CPU进行了比较。我们的仿真结果证实,GPU的实现比CPU的实现快得多。

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