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Related Concept Videos

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
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X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...
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High Performance Computing PP-Distance Algorithms to Generate X-ray Spectra from 3D Models.

César González1, Simone Balocco2, Jaume Bosch3

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International Journal of Molecular Sciences
|October 14, 2022
PubMed
Summary
This summary is machine-generated.

Field-programmable gate arrays (FPGAs) accelerate whole pair distribution function calculations for non-crystallizable materials. This computational approach enhances structural analysis beyond traditional X-ray crystallography limitations, improving speed and efficiency.

Keywords:
FPGAOpenCLX-ray spectrapp-distance computation

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Area of Science:

  • Materials Science
  • Computational Physics
  • Biophysics

Background:

  • X-ray crystallography is crucial for understanding molecular structures but faces limitations with non-crystallizable materials like nanoparticles.
  • Traditional methods struggle with samples that do not form crystals, hindering structural determination.
  • The whole pair distribution function (PDF) offers an alternative by analyzing scattering data.

Purpose of the Study:

  • To investigate the application of field-programmable gate arrays (FPGAs) for accelerating whole pair distribution function (PDF) calculations.
  • To evaluate the performance of different FPGA technologies and parallel computation strategies for structural analysis.
  • To overcome the limitations of X-ray crystallography for non-crystallizable systems.

Main Methods:

  • Implemented two distinct FPGA-based solutions utilizing OmpSs and OpenCL for parallel computation of particle-pair distances.
  • Tested solutions on state-of-the-art FPGA hardware, including Intel D5005 and Alveo U200 boards.
  • Analyzed computational performance using metrics like speed-up and efficiency, measuring billions of atom pairs per second (bapps).

Main Results:

  • Achieved significant acceleration in whole PDF calculations, with the Alveo U200 board reaching 57.67 bapps.
  • Demonstrated the effectiveness of FPGA parallel processing for complex structural computations.
  • Identified specific computational bottlenecks and potential areas for future optimization.

Conclusions:

  • FPGA technology offers a viable and efficient solution for accelerating whole PDF analysis, expanding structural determination capabilities.
  • The developed methods provide a powerful computational tool for studying non-crystallizable materials.
  • Further optimization of FPGA implementations can lead to even greater reductions in computation time for structural biology and materials science.