• DocumentCode
    171724
  • Title

    Fast simulation of X-ray diffraction patterns from cellulose fibrils using GPUs

  • Author

    Yan Zhang ; Leiming Yu ; Kaeli, David ; Makowski, Lee

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    2014
  • fDate
    25-27 April 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Cellulose in maize is an ideal candidate for a sustainable and renewable energy source because of its global abundance. X-ray scattering has been used as an experimental technique to study cellulose fibrils during processing. In order to understand the impact of chemical or physical treatments on structural parameters such as diameter, twist and coiling, we are simulating X-ray scattering from large bundles of cellulose. Because the structure of these fibrils is non-periodic, these calculations are computationally intensive. In this paper, we describe a GPU-based molecular scattering algorithm developed to calculate X-ray scattering intensity from molecular models of cellulose fibrils. The implementation on Graphics Processing Units (GPUs) greatly accelerates the calculation compared to an optimized CPU program, enabling the assessment of hundreds of models for the cellulose fibril structure.
  • Keywords
    X-ray diffraction; X-ray scattering; graphics processing units; molecular biophysics; proteins; GPU-based molecular scattering algorithm; X-ray diffraction patterns; X-ray scattering intensity calculation; cellulose fibril structure; graphics processing units; optimized CPU program; Atomic measurements; Biological system modeling; Computational modeling; Data models; Graphics processing units; Scattering; X-ray diffraction; GPUs; cellulose; molecular scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference (NEBEC), 2014 40th Annual Northeast
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/NEBEC.2014.6972999
  • Filename
    6972999