Large scale calculation for holography using SSD

We propose a novel out-of-core GPU algorithm for 2D-Shift-FFT (i.e., 2D-FFT with FFT-shift) to generate ultra-high-resolution holograms. Generating an ultra-high-resolution hologram requires a large complex matrix (e.g., 100K2) with a size that typically exceeds GPU memory. To handle such a large-scale hologram plane with limited GPU memory, we employ a 1D-FFT based 2D-FFT computation method. We transpose the column data to have a continuous memory layout to improve the column-wise 1D-FFT stage performance in both the data communication and GPU computation. We also combine the FFT-shift and transposition steps to reduce and hide the workload. To maximize the GPU utilization efficiency, we exploit the concurrent execution ability of recent heterogeneous computing systems. We also further optimize our method’s performance with our cache-friendly chunk generation algorithm and pinned-memory buffer approach. We tested our method on three computing systems having different GPUs and various sizes of complex matrices. Compared to the conventional implementation based on the state-of-the-art GPU FFT library (i.e., cuFFT), our method achieved up to 3.24 and 3.06 times higher performance for a large-scale complex matrix in single- and double-precision cases, respectively. To assess the benefits offered by the proposed approach in an actual application, we applied our method to the layer-based CGH process. As a result, it reduced the time required to generate an ultra-high-resolution hologram (e.g., 100K2) up to 28% compared to the use of the conventional algorithm. These results demonstrate the efficiency and usefulness of our method.

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Out-of-core GPU 2D-shift-FFT algorithm for ultra-high-resolution hologram generation

Lee

Kang

Yeom

et al. 2021

Opt. Express

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Out-of-core diffraction algorithm using multiple SSDs for ultra-high-resolution hologram generation

Lee¹,

Kim²

2023

Opt. Express

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The diffraction calculation is critical in computer-generated holography (CGH). However, it becomes a performance bottleneck when generating ultra-high-resolution holograms due to limited physical memory space. We propose a novel out-of-core (OOC) diffraction algorithm that utilizes multiple solid-state drives (SSDs) to address this issue. Our method employs the implicit diffraction approach and exploits its even-odd separation characteristic to utilize multiple SSDs optimally. We implement our algorithm on two machines, each with four SSDs, and compare it with prior OOC diffraction methods and a RAID-based solution. Our approach achieves up to 2.43 times higher performance than prior OOC methods for large-scale diffraction calculations, with continued performance improvement observed by adding more SSDs. Additionally, our method reduces the generation time for ultra-high-resolution holograms (200K × 200K) by 38% compared to the prior OOC method with multiple SSDs. These results demonstrate the effectiveness of our algorithm for extreme-scale CGH.

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Large scale calculation for holography using SSD

Cited by 2 publications

References 7 publications

Out-of-core GPU 2D-shift-FFT algorithm for ultra-high-resolution hologram generation

Out-of-core GPU 2D-shift-FFT algorithm for ultra-high-resolution hologram generation

Out-of-core diffraction algorithm using multiple SSDs for ultra-high-resolution hologram generation

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