Block-implicit multigrid calculation of two-dimensional recirculating flows
Computer Methods in Applied Mechanics and Engineering
Analysis of a streamline diffusion finite element method for the Stokes and Navier-Stokes equations
SIAM Journal on Numerical Analysis
An efficient smoother for the Stokes problem
Applied Numerical Mathematics - Special issue on multilevel methods
Analysis of iterative methods for saddle point problems: a unified approach
Mathematics of Computation
Grid Computing
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
glogin - A Multifunctional, Interactive Tunnel into the Grid
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
AMGe---Coarsening Strategies and Application to the Oseen Equations
SIAM Journal on Scientific Computing
Distributed Data Management for Grid Computing
Distributed Data Management for Grid Computing
Grid Revolution: An Introduction to Enterprise Grid Computing
Grid Revolution: An Introduction to Enterprise Grid Computing
Introduction to grid computing with globus
Introduction to grid computing with globus
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Since grid computing provides users with more distributed computing and storage resources, it gives us an opportunity to design new efficient and robust solvers for the numerical solutions of partial differential equations (PDEs). For instance, large scale problems in computational fluid dynamics (CFD) can be efficiently simulated under this environment. However, unfortunately, most of the currently developed PDE solvers using the finite element method (FEM), usually tight combinations of a mesh generator and a linear system solver, are not qualified for the grid computing environment. In this paper, based on principles of grid computing, we present a grid-enabled Client/Server model for solving the Stokes/(incompressible) Navier-Stokes system in 3D.