A flexible inner-outer preconditioned GMRES algorithm
SIAM Journal on Scientific Computing
A Note on Preconditioning for Indefinite Linear Systems
SIAM Journal on Scientific Computing
Numerical Linear Algebra for High Performance Computers
Numerical Linear Algebra for High Performance Computers
A Preconditioner for the Steady-State Navier--Stokes Equations
SIAM Journal on Scientific Computing
BoomerAMG: a parallel algebraic multigrid solver and preconditioner
Applied Numerical Mathematics - Developments and trends in iterative methods for large systems of equations—in memoriam Rüdiger Weiss
Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics)
Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics)
Solving unsymmetric sparse systems of linear equations with PARDISO
Future Generation Computer Systems - Special issue: Selected numerical algorithms
Preconditioning Strategies for Models of Incompressible Flow
Journal of Scientific Computing
Block Preconditioners Based on Approximate Commutators
SIAM Journal on Scientific Computing
Journal of Computational Physics
Mechanism and Localization of Wall Failure During Abdominal Aortic Aneurysm Formation
ISBMS '08 Proceedings of the 4th international symposium on Biomedical Simulation
A multiphysics simulation of a healthy and a diseased abdominal aorta
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
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We evaluate a parallel Schur preconditioner for large systems of equations arising from a finite element discretization of the Navier-Stokes equations with streamline diffusion. The performance of the method is assessed on a biomedical problem involving oscillatory flow in a human abdominal bifurcation. Fast access to flow conditions in this location might support physicians in quicker decision making concerning potential interventions. We demonstrate scaling to 8 processors with more than 50% efficiency as well as a significant relaxation of memory requirements. We found an acceleration by up to a factor 9.5 compared to a direct sparse parallel solver at stopping criteria ensuring results similar to a validated reference solution.