Abstract
The Stokes equations are frequently used to simulate geodynamic processes, including mantle convection, lithospheric dynamics, lava flow, and among others. In this study, the multigrid (MG) method is adopted to solve Stokes and continuity equations with strongly temperature-dependent viscosity. By taking advantage of the enhanced computing power of graphics processing units (GPUs) and the new version of Matlab 2010b, MG codes are optimized through Compute Unified Device Architecture (CUDA). Herein, we illustrate the approach that implements a GPU-based MG solver with Red-Black Gauss-Seidel (RBGS) smoother for the three-dimensional Stokes and continuity equations, in a hope that it helps solve the synthetic incompressible sinking problem in a cubic domain with strongly variable viscosity, and finally analyze our solver's efficiency on a GPU.
Original language | English (US) |
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Pages (from-to) | 50-60 |
Number of pages | 11 |
Journal | International Journal of High Performance Computing Applications |
Volume | 28 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2014 |
Bibliographical note
Funding Information:This work was supported by the National High Technology Research and Development Program of China (863 Program), ‘Rapid visualization and diagnosis techniques of earth system model output data’ (grant number 2010AA012402), the NSF CMG Program and the Project SinoProbe-07 of China.
Keywords
- GPU
- Matlab
- Stokes flow
- multigrid
- strongly variable viscosity