7 papers
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…
Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe
Måns 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…
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…
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…
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.…
Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures
Martin Karp, Estela Suarez, Jan H. Meinke +4
The never-ending computational demand from simulations of turbulence makes computational fluid dynamics (CFD) a prime application use case for current and future exascale systems.…
Supercomputers as a Continous Medium
Martin Karp, Niclas Jansson, Philipp Schlatter +1
As supercomputers' complexity has grown, the traditional boundaries between processor, memory, network, and accelerators have blurred, making a homogeneous computer model, in which…