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X-ray Crystallography02:18

X-ray Crystallography

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The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...
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X-ray Imaging01:24

X-ray Imaging

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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Related Experiment Video

Updated: May 30, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

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COMBO: compressed block-wise out-of-core diffraction computation for tera-scale holography.

Jaehong Lee, Duksu Kim

    Optics Express
    |January 29, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Computer-generated holography (CGH) faces memory challenges. The COMBO system accelerates large-scale diffraction computation using out-of-core processing, enabling tera-scale hologram generation on limited memory systems.

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    Area of Science:

    • Optics and Photonics
    • Computer Science
    • High-Performance Computing

    Background:

    • Large-scale computer-generated holography (CGH) demands substantial memory, often exceeding system capacity.
    • Out-of-core processing is a viable solution but suffers from I/O bottlenecks in diffraction computations.
    • Efficiently handling large datasets is crucial for advancing CGH applications.

    Purpose of the Study:

    • To develop a novel out-of-core processing framework, COMBO, for accelerating large-scale diffraction computation in CGH.
    • To overcome I/O limitations inherent in traditional out-of-core methods for CGH.
    • To enable the generation of tera-scale holograms on memory-constrained systems.

    Main Methods:

    • Implemented a block-wise data handling strategy within the COMBO framework.
    • Integrated GPU-accelerated compression techniques to improve I/O efficiency.
    • Utilized multiple Solid State Drives (SSDs) to further optimize data transfer speeds.
    • Designed COMBO as an out-of-core processing system for diffraction calculations.

    Main Results:

    • COMBO demonstrated up to 4.16 times performance improvement over existing out-of-core methods.
    • High-quality holographic reconstructions were maintained throughout the process.
    • Successfully generated a 256K hologram, requiring 4TB of computational space, using only 64GB of system memory.

    Conclusions:

    • The COMBO system effectively addresses memory and I/O bottlenecks in large-scale CGH.
    • COMBO offers a practical and efficient solution for generating massive holograms on standard hardware.
    • This advancement has significant implications for memory-intensive holographic display and simulation technologies.