• DocumentCode
    3538232
  • Title

    Using GPGPU to Enhance Simulation of the Functionalized Cahn-Hilliard Equation

  • Author

    Jones, Jaylan ; Xu, Zhengfu ; Christlieb, Andrew ; Promislow, Keith

  • Author_Institution
    Dept. of Math., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2012
  • fDate
    10-11 July 2012
  • Firstpage
    153
  • Lastpage
    156
  • Abstract
    The Functionalized Cahn-Hilliard (FCH) Equation describes the dynamics of pore network formation in a functionalized polymer/solvent membrane. During the casting of such membranes, processes occur on very diverse timescales requiring long computationally intensive simulations. Our scheme is designed to be unconditionally gradient stable allowing for adaptivity in time stepping while preserving the discrete energy law. We present a novel iteration for solving the nonlinear equation with a Fourier spectral method, and numerical results are shown with a 100x speedup using a Graphics Processing Unit (GPU).
  • Keywords
    Fourier transforms; functional equations; graphics processing units; nonlinear equations; FCH equation; Fourier spectral method; GPGPU; discrete energy law; functionalized Cahn-Hilliard equation; functionalized polymer-solvent membrane; graphics processing unit; nonlinear equation; pore network formation; simulation enhancement; time stepping; Computational modeling; Data models; Equations; Graphics processing unit; Mathematical model; Numerical models; Polymers; Functionalized Cahn-Hilliard; GPU; phase field model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application Accelerators in High Performance Computing (SAAHPC), 2012 Symposium on
  • Conference_Location
    Chicago IL
  • ISSN
    2166-5133
  • Print_ISBN
    978-1-4673-2882-1
  • Type

    conf

  • DOI
    10.1109/SAAHPC.2012.22
  • Filename
    6319206