24 citations · 39 across the 5 of their papers we have counts for
5 papers
Scheduling massively parallel multigrid for multilevel Monte Carlo methods
Björn Gmeiner, Daniel Drzisga, Ulrich Ruede +2
The computational complexity of naive, sampling-based uncertainty quantification for 3D partial differential equations is extremely high. Multilevel approaches, such as multilevel…
A quantitative performance analysis for Stokes solvers at the extreme scale
Björn Gmeiner, Markus Huber, Lorenz John +2
This article presents a systematic quantitative performance analysis for large finite element computations on extreme scale computing systems. Three parallel iterative solvers for…
Resilience for Multigrid Software at the Extreme Scale
Markus Huber, Björn Gmeiner, Ulrich Rüde +1
Fault tolerant algorithms for the numerical approximation of elliptic partial differential equations on modern supercomputers play a more and more important role in the future desi…
Resilience for Exascale Enabled Multigrid Methods
Markus Huber, Björn Gmeiner, Ulrich Rüde +1
With the increasing number of components and further miniaturization the mean time between faults in supercomputers will decrease. System level fault tolerance techniques are expen…
Optimization of the Multigrid-Convergence Rate on Semi-structured Meshes by Local Fourier Analysis
B. Gmeiner, T. Gradl, F. Gaspar +1
In this paper a local Fourier analysis for multigrid methods on tetrahedral grids is presented. Different smoothers for the discretization of the Laplace operator by linear finite…