Research topics

Scalability in large-scale machine learning and scientific computing

Multi-fidelity machine learning
Bayesian inference.

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High Performance Computing
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Uncertainty Quantification

The topics in detail


hmglib: hierarchical matrices on graphic processing units (github)

MPLA: multi-GPU parallel library for dense iterative matrix solvers (github)

Multi-GPU support und uncertainty quantification for two-phase Navier Stokes (NaSt3DGPF)