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Publications by Martin Karp

Refereegranskade

Artiklar

[1]
D. Massaro et al., "Direct numerical simulation of the turbulent flow around a Flettner rotor," Scientific Reports, vol. 14, no. 1, 2024.
[2]
N. Jansson et al., "Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics," Computers & Fluids, vol. 275, pp. 106243-106243, 2024.

Konferensbidrag

[3]
N. Jansson et al., "Exploring the Ultimate Regime of Turbulent Rayleigh–Bénard Convection Through Unprecedented Spectral-Element Simulations," in SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2023, pp. 1-9.
[4]
M. Karp et al., "Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow," in Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023, 2023, pp. 387-390.
[5]
M. Karp et al., "A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges," in HPCAsia2022: International Conference on High Performance Computing in Asia-Pacific Region, 2022, pp. 125-136.
[6]
M. Karp et al., "Reducing Communication in the Conjugate Gradient Method : A Case Study on High-Order Finite Elements," in Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2022, 2022.
[7]
J. Vincent et al., "Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems," in HPCAsia2022 : International Conference on High Performance Computing in Asia-Pacific Region, 2022, pp. 94-102.
[8]
M. Karp et al., "High-Perfomance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection," in Proceedings of the 35rd IEEE International Parallel & Distributed Processing Symposium, May 17-21, 2021 Portland, Oregon, USA, 2021.
[9]
M. Karp et al., "Optimization of Tensor-product Operations in Nekbone on GPUs," in The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2020, 2020.
Senaste synkning med DiVA:
2024-05-04 01:04:33