• DocumentCode
    3470655
  • Title

    Application of Graphics Processing Units (GPUs) to the Study of Non-linear Dynamics of the Exciton Bose-Einstein Condensate in a Semiconductor Quantum Well

  • Author

    Gothandaraman, A. ; Sadatian, S. ; Faryniarz, M. ; Berman, O.L. ; Kolmakov, G.V.

  • Author_Institution
    Dept. of Chem., Univ. of Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2011
  • fDate
    19-21 July 2011
  • Firstpage
    68
  • Lastpage
    71
  • Abstract
    In this paper, we explore the use of Graphics Processing Units (GPUs) to solve numerically the nonlinear Gross-Pitaevskii equation with an external potential. Our implementation uses NVIDIA´s Compute Unified Device Architecture (CUDA) programming paradigm and demonstrates a speedup of 190x on an NVIDIA Tesla C2050 (Fermi) GPU compared to an optimized software implementation on a single-core of an Intel Xeon 5500-series processor. We apply the developed technique to the study of Bose-Einstein condensation (BEC) of excitons in semiconductor nanostructures. The technique is also applicable to the studies of atomic condensates, quantized vortices in quantum fluids, propagation of light pulses in optical wave guides, and ocean wave dynamics.
  • Keywords
    computer graphic equipment; coprocessors; semiconductor quantum wells; Bose-Einstein condensation; CUDA; GPU; Gross-Pitaevskii equation; Intel Xeon 5500 series processor; NVIDIA Tesla C2050; NVIDIA compute unified device architecture; graphics processing unit application; nonlinear dynamics; ocean wave dynamics; optical wave guides; quantized vortices; quantum fluids; semiconductor nanostructures; semiconductor quantum well; software implementation; Computational modeling; Equations; Excitons; Graphics processing unit; Kernel; Mathematical model; Numerical models; Bose-Einstein condensates; Graphics Processing Units; Gross-Pitaevskii Equation; excitons in semiconductor quantum well;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application Accelerators in High-Performance Computing (SAAHPC), 2011 Symposium on
  • Conference_Location
    Knoxville, TN
  • Print_ISBN
    978-1-4577-0635-6
  • Electronic_ISBN
    978-0-7695-4448-9
  • Type

    conf

  • DOI
    10.1109/SAAHPC.2011.32
  • Filename
    6031567