Large-scale Simulations of Turbulence: HPC and Numerical Experiments. - Philipp Schlatter; Johan Malm; Geert Brethouwer; Arne V. Johansson; Dan S. Henningson (eScience, 2011)

Preparing Scientific Application Software for Exascale Computing. - J. A. Åström; Adam C. Carter; James Hetherington; K. Ioakimidis; Erik Lindahl; G. Mozdzynski; Rupert W. Nash; Philipp Schlatter; Artur Signell; Jan Westerholm (PARA, 2012)

Stabilization of the Spectral Element Method in Convection Dominated Flows by Recovery of Skew-Symmetry. - Johan Malm; Philipp Schlatter; Paul F. Fischer; Dan S. Henningson (J. Sci. Comput., 2013)

Nek5000 with OpenACC. - Jing Gong; Stefano Markidis; Michael Schliephake; Erwin Laure; Dan S. Henningson; Philipp Schlatter; Adam Peplinski; Alistair Hart; Jens Doleschal; David Henty; Paul F. Fischer (EASC, 2014)

A new high-order method for the simulation of incompressible wall-bounded turbulent flows. - Peter Lenaers; Philipp Schlatter; Geert Brethouwer; Arne V. Johansson (J. Comput. Phys., 2014)

On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems. - Nicolas Offermans; Oana Marin; Michel Schanen; Jing Gong; Paul F. Fischer; Philipp Schlatter (EASC, 2016)

Parallel performance of h-type Adaptive Mesh Refinement for Nek5000. - Adam Peplinski; Paul F. Fischer; Philipp Schlatter (EASC, 2016)

On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems. - Nicolas Offermans; Oana Marin; Michel Schanen; Jing Gong; Paul F. Fischer; Philipp Schlatter; Aleks Obabko; Adam Peplinski; Maxwell Hutchinson; Elia Merzari (CoRR, 2017)

Distributed Percolation Analysis for Turbulent Flows. - Anke Friederici; Wiebke Köpp; Marco Atzori; Ricardo Vinuesa; Philipp Schlatter; Tino Weinkauf (LDAV, 2019)

Soft Computing Techniques to Analyze the Turbulent Wake of a Wall-Mounted Square Cylinder. - Christian Amor; José Miguel Pérez; Philipp Schlatter; Ricardo Vinuesa; Soledad Le Clainche Martínez (SOCO, 2019)

OpenACC acceleration for the PN-PN-2 algorithm in Nek5000. - Evelyn Otero; Jing Gong; Misun Min; Paul F. Fischer; Philipp Schlatter; Erwin Laure (J. Parallel Distributed Comput., 2019)

On the use of recurrent neural networks for predictions of turbulent flows. - Luca Guastoni; Prem A. Srinivasan; Hossein Azizpour; Philipp Schlatter; Ricardo Vinuesa (CoRR, 2020)

Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. - Hamidreza Eivazi; Luca Guastoni; Philipp Schlatter; Hossein Azizpour; Ricardo Vinuesa (CoRR, 2020)

Optimization of Tensor-product Operations in Nekbone on GPUs. - Martin Karp; Niclas Jansson; Artur Podobas; Philipp Schlatter; Stefano Markidis (CoRR, 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)

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 (IPDPS, 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)

Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations. - Hamidreza Eivazi; Mojtaba Tahani; Philipp Schlatter; Ricardo Vinuesa (CoRR, 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)

UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD). - Saleh Rezaeiravesh; Ricardo Vinuesa; Philipp Schlatter (J. Open Source Softw., 2021)

Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications. - Yi Ju; Adalberto Perez; Stefano Markidis; Philipp Schlatter; Erwin Laure (e-Science, 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 (HPC Asia, 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; et al. (HPC Asia, 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 (PASC, 2022)

Predicting the temporal dynamics of turbulent channels through deep learning. - Giuseppe Borrelli; Luca Guastoni; Hamidreza Eivazi; Philipp Schlatter; Ricardo Vinuesa (CoRR, 2022)

Modeling the Turbulent Wake Behind a Wall-Mounted Square Cylinder. - Christian Amor; José Miguel Pérez; Philipp Schlatter; Ricardo Vinuesa; Soledad Le Clainche (Log. J. IGPL, 2022)

Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems. - Yuki Morita; Saleh Rezaeiravesh; N. Tabatabaei; Ricardo Vinuesa; Koji Fukagata; Philipp Schlatter (J. Comput. Phys., 2022)

An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics. - Saleh Rezaeiravesh; Ricardo Vinuesa; Philipp Schlatter (J. Comput. Sci., 2022)

In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. - Marco Atzori; Wiebke Köpp; Steven Wei Der Chien; Daniele Massaro; Fermín Mallor; Adam Peplinski; Mohamad Rezaei; Niclas Jansson; Stefano Markidis; Ricardo Vinuesa; Erwin Laure; Philipp Schlatter; et al. (J. Supercomput., 2022)

In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. - Yi Ju; Mingshuai Li; Adalberto Perez; Laura Bellentani; Niclas Jansson; Stefano Markidis; Philipp Schlatter; Erwin Laure (e-Science, 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 006; Szilárd Páll; Erwin Laure; Tino Weinkauf; Jörg Schumacher; Philipp Schlatter; Stefano Markidis (SC, 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 (SC Workshops, 2023)

Adaptive mesh refinement for global stability analysis of transitional flows. - Daniele Massaro; Valerio Lupi; Adam Peplinski; Philipp Schlatter (CoRR, 2023)

Higher-order dynamic mode decomposition on-the-fly: A low-order algorithm for complex fluid flows. - Christian Amor; Philipp Schlatter; Ricardo Vinuesa; Soledad Le Clainche (J. Comput. Phys., 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., 2023)

Neko: A Modern, Portable, and Scalable Framework for Extreme-Scale Computational Fluid Dynamics. - Niclas Jansson; Martin Karp; Stefano Markidis; Philipp Schlatter (CLUSTER Workshops, 2024)

In-Situ Binary Segmentation of 3D time-dependent Flows into Laminar and Turbulent Regions. - Jiahui Liu 006; Tobias Edwards; Kristina Durovic; Philipp Schlatter; Tino Weinkauf (ICPP, 2024)

Dynamic Resource Management for In-Situ Techniques Using MPI-Sessions. - Yi Ju; Dominik Huber; Adalberto Perez; Philipp Ulbl; Stefano Markidis; Philipp Schlatter; Martin Schulz 001; Martin Schreiber 001; Erwin Laure (EuroMPI, 2024)

Wall-modeled large-eddy simulation based on spectral-element discretization. - Timofey Mukha; Philipp Schlatter (CoRR, 2024)

Supercomputers as a Continous Medium. - Martin Karp; Niclas Jansson; Philipp Schlatter; Stefano Markidis (CoRR, 2024)

A comprehensive framework to enhance numerical simulations in the spectral-element code Nek5000. - Daniele Massaro; Adam Peplinski; Ronith Stanly; S. Mirzareza; Valerio Lupi; Timofey Mukha; Philipp Schlatter (Comput. Phys. Commun., 2024)

A Performance Model of In-Situ Techniques. - Yi Ju; Nicolas Vidal 003; Adalberto Perez; Ana Gainaru; Frédéric Suter; Stefano Markidis; Philipp Schlatter; Scott Klasky; Erwin Laure (PDP, 2025)

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 (Int. J. High Perform. Comput. Appl., 2025)

Design of Neko - A Scalable High-Fidelity Simulation Framework With Extensive Accelerator Support. - Niclas Jansson; Martin Karp; Jacob Wahlgren; Stefano Markidis; Philipp Schlatter (Concurr. Comput. Pract. Exp., 2025)

Robustness and uncertainty of direct numerical simulation under the influence of rounding and noise. - Martin Karp; Niclas Jansson; Saleh Rezaeiravesh; Stefano Markidis; Philipp Schlatter (CoRR, 2025)