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cs.DC2025
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…
cs.DC2024
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.…
cs.DC2024
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…