High-speed computer-generated hologram based on resource optimization for block-based parallel processing

Kim Dong-Wook; Lee Yoon-Hyuk; Seo Young-Ho

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High-speed computer-generated hologram based on resource optimization for block-based parallel processing

机译：基于基于块的并行处理的资源优化的高速计算机生成全息图

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摘要

A huge amount of computation is required to generate a hologram using a computer. In order to speed up the computer-generated-hologram (CGH) operation, we use a parallel programming technique using a general purpose graphic processing unit (GPGPU). In this paper, we propose three techniques to improve CGH performance in the condition using GPU. The first is to remove the memory bottleneck by allocating shared memory and a dedicated thread for this process, and the second is to optimize the block allocation within the GPU using a hologram pixel-based method. The third is to increase the computation time by minimizing the idle region by using multiple threads of host processor and device. When these three techniques were implemented in the GTX 1080Ti GPU, it took 25.05 ms to generate the HD digital hologram with 10 K object points, and compared to the previous research, the performance improvement was at least 1.56 times up to 216.71 times. (c) 2018 Optical Society of America.

机译：需要使用计算机生成全息图需要大量计算。为了加速计算机生成的全息图（CGH）操作，我们使用一般目的图形处理单元（GPGPU）并行编程技术。在本文中，我们提出了三种技术来使用GPU改善CGH性能。首先是通过分配共享内存和用于此过程的专用线程来删除内存瓶颈，第二个是使用基于全息图像素的方法优化GPU内的块分配。第三是通过使用多个主机处理器和设备的线程来提高空闲区域来增加计算时间。当这三种技术在GTX 1080TI GPU中实施时，需要25.05毫秒，以10K对象点生成HD数字全息图，与先前的研究相比，性能提高至少1.56倍，高达216.71倍。（c）2018年光学学会。

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来源
《Applied optics》 |2018年第13期|共8页
作者
Kim Dong-Wook; Lee Yoon-Hyuk; Seo Young-Ho;
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Kwangwoon Univ Dept Elect Mat Engn 20 Kwangwoon Ro Seoul 01897 South Korea;

Kwangwoon Univ Dept Elect Mat Engn 20 Kwangwoon Ro Seoul 01897 South Korea;

Kwangwoon Univ Ingenium Coll Liberal Arts 20 Kwangwoon Ro Seoul 01897 South Korea;

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High-speed computer-generated hologram based on resource optimization for block-based parallel processing

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