首页> 外文会议>Proceedings of the IASTED international conferences on informatics >INTERPOLATION-BASED OBJECT DECOMPOSITION AND PARALLEL COMPUTATION METHOD FOR LARGE-SCALE COMPUTER-GENERATED HOLOGRAM
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INTERPOLATION-BASED OBJECT DECOMPOSITION AND PARALLEL COMPUTATION METHOD FOR LARGE-SCALE COMPUTER-GENERATED HOLOGRAM

机译:大型计算机生成全息图的基于插值的对象分解和并行计算方法

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Computer Generated Holography (CGH) is considered a promising candidate for realizing 3D display with complete depth features. However, the realization of a large-scale CGH requires a huge computation time. This paper proposes a method for decomposing an input object into sub-objects and generating sub-holograms from them utilizing interpolation. The major advantage of this method is that the generation processes become mutually independent and can be executed in parallel without communication and synchronization. After presenting the theory of interpolation method, we will show how we can implement the method on GPU using data-parallel operations. We will also show the simulation and optical reconstruction results that verify the correctness of the method. Finally, we will present the preliminary results of our experiment by using GPU.
机译:计算机生成全息(CGH)被认为是实现具有完整深度功能的3D显示的有希望的候选人。但是,大规模CGH的实现需要大量的计算时间。本文提出了一种将输入对象分解为子对象并利用插值从中生成子全息图的方法。该方法的主要优点是,生成过程变得相互独立,并且可以在不进行通信和同步的情况下并行执行。在介绍了插值方法的理论之后,我们将展示如何使用数据并行操作在GPU上实现该方法。我们还将显示仿真和光学重建结果,以验证该方法的正确性。最后,我们将使用GPU展示实验的初步结果。

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