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
Link To Document :
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