Three parallel programming paradigms: comparisons on an archetypal PDE computation
Progress in computer research
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Jacobian-free Newton-Krylov methods: a survey of approaches and applications
Journal of Computational Physics
A finite element method for unstructured grid smoothing
Journal of Computational Physics
Variations on algebraic recursive multilevel solvers (ARMS) for the solution of CFD problems
Applied Numerical Mathematics
Globalized Newton-Krylov-Schwarz Algorithms and Software for Parallel Implicit CFD
International Journal of High Performance Computing Applications
Journal of Computational Physics
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
An algebraic multigrid solver for transonic flow problems
Journal of Computational Physics
Journal of Computational Physics
A Fully Implicit Domain Decomposition Algorithm for Shallow Water Equations on the Cubed-Sphere
SIAM Journal on Scientific Computing
Toward Applying Algebraic Multigrid to Transonic Flow Problem
SIAM Journal on Scientific Computing
Parallel Two-Grid Semismooth Newton-Krylov-Schwarz Method for Nonlinear Complementarity Problems
Journal of Scientific Computing
SIAM Journal on Scientific Computing
Domain decomposition methods for PDE constrained optimization problems
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
Journal of Computational Physics
A parallel Jacobian-free Newton-Krylov solver for a coupled sea ice-ocean model
Journal of Computational Physics
A Parallel Domain Decomposition Method for 3D Unsteady Incompressible Flows at High Reynolds Number
Journal of Scientific Computing
Hi-index | 0.04 |
We study parallel two-level overlapping Schwarz algorithms for solving nonlinear finite element problems, in particular, for the full potential equation of aerodynamics discretized in two dimensions with bilinear elements. The overall algorithm, Newton--Krylov--Schwarz (NKS), employs an inexact finite difference Newton method and a Krylov space iterative method, with a two-level overlapping Schwarz method as a preconditioner. We demonstrate that NKS, combined with a density upwinding continuation strategy for problems with weak shocks, is robust and economical for this class of mixed elliptic-hyperbolic nonlinear partial differential equations, with proper specification of several parameters. We study upwinding parameters, inner convergence tolerance, coarse grid density, subdomain overlap, and the level of fill-in in the incomplete factorization, and report their effect on numerical convergence rate, overall execution time, and parallel efficiency on a distributed-memory parallel computer.