252 citations · 629 across the 33 of their papers we have counts for
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Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis
Julia Konrad, Ionut-Gabriel Farcas, Benjamin Peherstorfer +4
The linear micro-instabilities driving turbulent transport in magnetized fusion plasmas (as well as the respective nonlinear saturation mechanisms) are known to be sensitive with r…
Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis
Ionut-Gabriel Farcas, Tobias Görler, Hans-Joachim Bungartz +2
Quantifying uncertainty in predictive simulations for real-world problems is of paramount importance - and far from trivial, mainly due to the large number of stochastic parameters…
Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects
Andreas Alvermann, Achim Basermann, Hans-Joachim Bungartz +30
We first briefly report on the status and recent achievements of the ELPA-AEO (Eigenvalue Solvers for Petaflop Applications - Algorithmic Extensions and Optimizations) and ESSEX II…