collaborators

5 papers

physics.flu-dyn2025

Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence

Martin Karp, Ronith Stanly, Timofey Mukha +11

Modern computing clusters offer specialized hardware for reduced-precision arithmetic that can speed up the time to solution significantly. This is possible due to a decrease in da…

physics.flu-dyn2025

Assessment of the Gradient Jump Penalisation in Large-Eddy Simulations of Turbulence

Shiyu Du, Manuel Münsch, Niclas Jansson +1

This research investigates the efficacy of the gradient jump penalisation (GJP) in large eddy simulations (LES) when coupled with active subgrid-scale (SGS) models. GJP is a stabil…

cs.MS2025

Enabling mixed-precision in spectral element codes

Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi +2

Mixed-precision computing has the potential to significantly reduce the cost of exascale computations, but determining when and how to implement it in programs can be challenging.…

cs.DC2025

Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe

MÃ¥ns I. Andersson, Martin Karp, Niclas Jansson +1

With the emergence of new high-performance computing (HPC) accelerators, such as Nvidia and AMD GPUs, efficiently targeting diverse hardware architectures has become a major challe…

physics.flu-dyn2025

Robustness and uncertainty of direct numerical simulation under the influence of rounding and noise

Martin Karp, Niclas Jansson, Saleh Rezaeiravesh +2

Numerical precision in large-scale scientific computations has become an emerging topic due to recent developments in computer hardware. Lower floating point precision offers the p…