activity
20202026
most citedNeko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics

10 citations · 26 across the 12 of their papers we have counts for

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7 papers · 1 filter

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…

cs.DC2021

Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems

Jonathan Vincent, Jing Gong, Martin Karp +11

We present new results on the strong parallel scaling for the OpenACC-accelerated implementation of the high-order spectral element fluid dynamics solver Nek5000. The test case con…

cs.DC2021★ 9 cited

A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays

Martin Karp, Artur Podobas, Tobias Kenter +4

The impending termination of Moore's law motivates the search for new forms of computing to continue the performance scaling we have grown accustomed to. Among the many emerging Po…

cs.DC2020★ 1 cited

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…

cs.DC2020★ 5 cited

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…