Martin Karp

According to our database, Martin Karp authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures.

Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson

CoRR, 2024

Supercomputers as a Continous Medium.

Martin Karp, Niclas Jansson, Philipp Schlatter, Stefano Markidis

CoRR, 2024

Towards Performance Portable Kernels for Computational Fluid Dynamics Using DaCe.

Måns Ivar Andersson, Martin Karp, Stefano Markidis

Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024

Neko: A Modern, Portable, and Scalable Framework for Extreme-Scale Computational Fluid Dynamics.

Niclas Jansson, Martin Karp, Stefano Markidis, Philipp Schlatter

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran.

Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis

Int. J. High Perform. Comput. Appl., September, 2023

Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow.

Martin Karp, Felix Liu, Ronith Stanly, Saleh Rezaeiravesh, Niclas Jansson, Philipp Schlatter, Stefano Markidis

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Exploring the Ultimate Regime of Turbulent Rayleigh-Bénard Convection Through Unprecedented Spectral-Element Simulations.

Niclas Jansson, Martin Karp, Adalberto Perez, Timofey Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, Tino Weinkauf, Jörg Schumacher, Philipp Schlatter, Stefano Markidis

Proceedings of the International Conference for High Performance Computing, 2023

2022

Reducing communication in the conjugate gradient method: a case study on high-order finite elements.

Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis

Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022

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

Jonathan Vincent, Jing Gong, Martin Karp, Adam Peplinski, Niclas Jansson, Artur Podobas, Andreas Jocksch, Jie Yao, Fazle Hussain, Stefano Markidis, Matts Karlsson, Dirk Pleiter, Erwin Laure, Philipp Schlatter

Proceedings of the HPC Asia 2022: International Conference on High Performance Computing in Asia-Pacific Region, Virtual Event, Japan, January 12, 2022

A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges.

Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis

Proceedings of the HPC Asia 2022: International Conference on High Performance Computing in Asia-Pacific Region, Virtual Event, Japan, January 12, 2022

2021

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

Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis

CoRR, 2021

Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics.

Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter

CoRR, 2021

High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection.

Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

High-Performance Spectral Element Methods on Field-Programmable Gate Arrays.

Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis

CoRR, 2020

Optimization of Tensor-product Operations in Nekbone on GPUs.

Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis

CoRR, 2020