79 citations · 258 across the 61 of their papers we have counts for
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Lowering the Entry Bar to HPC-Scale Uncertainty Quantification
Linus Seelinger, Anne Reinarz, Jean Benezech +3
Treating uncertainties in models is essential in many fields of science and engineering. Uncertainty quantification (UQ) on complex and computationally costly numerical models nece…
Petascale elliptic solvers for anisotropic PDEs on GPU clusters
Eike Hermann Müller, Robert Scheichl, Eero Vainikko
Memory bound applications such as solvers for large sparse systems of equations remain a challenge for GPUs. Fast solvers should be based on numerically efficient algorithms and im…
Massively parallel solvers for elliptic PDEs in Numerical Weather- and Climate Prediction
Eike H. Mueller, Robert Scheichl
The demand for substantial increases in the spatial resolution of global weather- and climate- prediction models makes it necessary to use numerically efficient and highly scalable…