Computer science

Jansson, N., 2021. Spectral Element Simulations on the NEC SX-Aurora TSUBASA. In proc. HPCAsia 2021.
Karp, M., Podobas, A., Kenter, T., Jansson, N., Plessl, C., Schlatter, P. and Markidis, S., 2022. A high-fidelity flow solver for unstructured meshes on field-programmable gate arrays: Design, evaluation, and future challenges. In proc. HPCAsia 2022.
Karp, M., Jansson, N., Podobas, A., Schlatter, P., and Markidis, S., 2022. Reducing Communication in the Conjugate Gradient Method: A Case Study on High-Order Finite Elements. In proc. PASC 2022.
Karp, M., Massaro, D., Jansson, N., Hart, A., Wahlgren, J., Schlatter, P., and Markidis, S., 2023. Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran. The International Journal of High Performance Computing Applications, 37, 5.
Jansson, N., Karp, M., Perez, A., Mukha, T., Ju, Y., Liu, J., Páll, S., Laure, E., Weinkauf, T., Schumacher, J., Schlatter, P., Markidis, S., 2023. Exploring the Ultimate Regime of Turbulent Rayleigh–Bénard Convection Through Unprecedented Spectral-Element Simulations. SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis.
Jansson, N., Karp, M., Podobas, A., Markidis, S. and Schlatter, P., 2024. Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics. Computer & Fluids, 275.
Karp, M., 2024. Direct Numerical Simulation of Turbulence on Heterogenous Computer Systems : Architectures, Algorithms, and Applications, PhD dissertation, KTH Royal Institute of Technology, Stockholm, Sweden.
Karp, M., Stanly, R., Mukha, T., Galimberti, L., Toosi, S., Song, H., Dalcin, L., Rezaeiravesh, S., Jansson, N., Markidis, S., Parsani, M., Bose, S., Lele, S., Schlatter, P., 2025. Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence. Journal of Computational Physics, 510, 114600. https://doi.org/10.1016/j.jcp.2025.114600
Perez, A., 2025. Data analysis and data reduction for large-scale turbulence simulations, PhD dissertation, KTH Royal Institute of Technology, Stockholm, Sweden.
Ohm P., Harper G., and Jansson N., 2026. A Matrix-Free Algebraic hp-Multigrid Method for Computational Fluid Dynamics Applications. In Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region (SCA/HPCAsia '26). https://doi.org/10.1145/3773656.3773686

Flow physics

Massaro, D., Karp, M., Jansson, N., Markidis, S., Schlatter, P., 2024. Direct numerical simulation of the turbulent flow around a Flettner rotor. Nature Scientific Reports 14, 3004. https://doi.org/10.1038/s41598-024-53194-x
Baconnet, V., Karp, M., Hanifi, A., Lengani, D., Simoni, D., & Henningson, D.S., 2025. Investigation of the Dynamics of Secondary Flow Vortex Systems in Low-Pressure Turbines Using Direct Numerical Simulation. Proceedings of the ASME Turbo Expo 2025: Turbomachinery Technical Conference and Exposition. Volume 12. Memphis, Tennessee, USA. June 16–20, 2025. V012T36A005. ASME. https://doi.org/10.1115/GT2025-151623
Baconnet, V., 2025. Numerical Investigations of Secondary Flows in Low-Pressure Turbines, Licentiate dissertation, KTH Royal Institute of Technology, Stockholm, Sweden.
Stanly, R., Bagheri, E., Mukha, T., Schlatter, P., 2026. Influence of turbulence inflow conditions on aeroacoustics of wall-bounded flows. International Journal of Heat and Fluid Flow, 118, 110216. https://doi.org/10.1016/j.ijheatfluidflow.2025.110216
Du, S., Münsch, M., Jansson, N., Schlatter, P., 2026. Assessment of the gradient jump penalisation in large-eddy simulations of turbulence. Acta Mechanica. https://doi.org/10.1007/s00707-025-04607-z