481 citations · 1.2k across the 57 of their papers we have counts for
9 papers · 1 filter
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays
Martin Karp, Artur Podobas, Niclas Jansson +4
Improvements in computer systems have historically relied on two well-known observations: Moore's law and Dennard's scaling. Today, both these observations are ending, forcing comp…
An Uncertainty-Quantification Framework for Assessing Accuracy, Sensitivity, and Robustness in Computational Fluid Dynamics
Saleh Rezaeiravesh, Ricardo Vinuesa, Philipp Schlatter
A framework is developed based on different uncertainty quantification (UQ) techniques in order to assess validation and verification (V&V) metrics in computational physics problem…
Convolutional-network models to predict wall-bounded turbulence from wall quantities
L. Guastoni, A. Güemes, A. Ianiro +4
Two models based on convolutional neural networks are trained to predict the two-dimensional velocity-fluctuation fields at different wall-normal locations in a turbulent open chan…
Optimization of Tensor-product Operations in Nekbone on GPUs
Martin Karp, Niclas Jansson, Artur Podobas +2
In the CFD solver Nek5000, the computation is dominated by the evaluation of small tensor operations. Nekbone is a proxy app for Nek5000 and has previously been ported to GPUs with…
Near wall coherence in wall-bounded flows and implications for flow control
Milad Samie, Woutijn Baars, Amirreza Rouhi +4
Opposition-control of the energetic cycle of near wall streaks in wall-bounded turbulence, using numerical approaches, has shown promise for drag reduction. For practical implement…
Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence
Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter +2
The capabilities of recurrent neural networks and Koopman-based frameworks are assessed in the prediction of temporal dynamics of the low-order model of near-wall turbulence by Moe…