Philipp Schlatter

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 39

Top Topics

Computational Fluid Dynamics

Stability Analysis

Mesh Refinement

Top Venues

J. Comput. Phys.

Publications

Jiahui Liu, Tobias Edwards, Kristina Durovic, Philipp Schlatter, Tino Weinkauf
In-Situ Binary Segmentation of 3D time-dependent Flows into Laminar and Turbulent Regions. ICPP (2024)
Timofey Mukha, Philipp Schlatter
Wall-modeled large-eddy simulation based on spectral-element discretization. CoRR (2024)
Martin Karp, Niclas Jansson, Philipp Schlatter, Stefano Markidis
Supercomputers as a Continous Medium. CoRR (2024)
Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson
Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures. CoRR (2024)
Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure
In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. CoRR (2024)
Daniele Massaro, Adam Peplinski, Ronith Stanly, S. Mirzareza, Valerio Lupi, Timofey Mukha, Philipp Schlatter
A comprehensive framework to enhance numerical simulations in the spectral-element code Nek5000. Comput. Phys. Commun. 302 (2024)
Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure
Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications. CoRR (2024)
Christian Amor, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche
Higher-order dynamic mode decomposition on-the-fly: A low-order algorithm for complex fluid flows. J. Comput. Phys. 475 (2023)
Niclas Jansson, Martin Karp, Adalberto Perez, Timofey Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, Tino Weinkauf, Jörg Schumacher, Philipp Schlatter, Stefano Markidis
Exploring the Ultimate Regime of Turbulent Rayleigh-Bénard Convection Through Unprecedented Spectral-Element Simulations. SC (2023)
Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis
Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran. Int. J. High Perform. Comput. Appl. 37 (5) (2023)
Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure
In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. e-Science (2023)
Martin Karp, Felix Liu, Ronith Stanly, Saleh Rezaeiravesh, Niclas Jansson, Philipp Schlatter, Stefano Markidis
Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow. SC Workshops (2023)
Daniele Massaro, Valerio Lupi, Adam Peplinski, Philipp Schlatter
Adaptive mesh refinement for global stability analysis of transitional flows. CoRR (2023)
Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. HPC Asia (2022)
Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis
Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran. CoRR (2022)
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
Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. HPC Asia (2022)
Marco Atzori, Wiebke Köpp, Steven W. D. Chien, Daniele Massaro, Fermín Mallor, Adam Peplinski, Mohamad Rezaei, Niclas Jansson, Stefano Markidis, Ricardo Vinuesa, Erwin Laure, Philipp Schlatter, Tino Weinkauf
In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. J. Supercomput. 78 (3) (2022)
Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi, Philipp Schlatter, Ricardo Vinuesa
Predicting the temporal dynamics of turbulent channels through deep learning. CoRR (2022)
Yuki Morita, Saleh Rezaeiravesh, N. Tabatabaei, Ricardo Vinuesa, Koji Fukagata, Philipp Schlatter
Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems. J. Comput. Phys. 449 (2022)
Saleh Rezaeiravesh, Ricardo Vinuesa, Philipp Schlatter
An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics. J. Comput. Sci. 62 (2022)
Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis
Reducing communication in the conjugate gradient method: a case study on high-order finite elements. PASC (2022)
Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure
Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications. e-Science (2022)
Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche
Modeling the Turbulent Wake Behind a Wall-Mounted Square Cylinder. Log. J. IGPL 30 (2) (2022)
Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa
Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations. CoRR (2021)
Saleh Rezaeiravesh, Ricardo Vinuesa, Philipp Schlatter
UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD). J. Open Source Softw. 6 (60) (2021)
Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis
A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays. CoRR (2021)
Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter
Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics. CoRR (2021)
Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. IPDPS (2021)
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
Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. CoRR (2021)
Luca Guastoni, Prem A. Srinivasan, Hossein Azizpour, Philipp Schlatter, Ricardo Vinuesa
On the use of recurrent neural networks for predictions of turbulent flows. CoRR (2020)
Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis
Optimization of Tensor-product Operations in Nekbone on GPUs. CoRR (2020)
Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa
Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. CoRR (2020)
Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis
High-Performance Spectral Element Methods on Field-Programmable Gate Arrays. CoRR (2020)
Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche Martínez
Soft Computing Techniques to Analyze the Turbulent Wake of a Wall-Mounted Square Cylinder. SOCO (2019)
Anke Friederici, Wiebke Köpp, Marco Atzori, Ricardo Vinuesa, Philipp Schlatter, Tino Weinkauf
Distributed Percolation Analysis for Turbulent Flows. LDAV (2019)
Evelyn Otero, Jing Gong, Misun Min, Paul F. Fischer, Philipp Schlatter, Erwin Laure
OpenACC acceleration for the PN-PN-2 algorithm in Nek5000. J. Parallel Distributed Comput. 132 (2019)
Nicolas Offermans, Oana Marin, Michel Schanen, Jing Gong, Paul F. Fischer, Philipp Schlatter, Aleks Obabko, Adam Peplinski, Maxwell Hutchinson, Elia Merzari
On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems. CoRR (2017)
Nicolas Offermans, Oana Marin, Michel Schanen, Jing Gong, Paul F. Fischer, Philipp Schlatter
On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems. EASC (2016)
Adam Peplinski, Paul F. Fischer, Philipp Schlatter
Parallel performance of h-type Adaptive Mesh Refinement for Nek5000. EASC (2016)
Peter Lenaers, Philipp Schlatter, Geert Brethouwer, Arne V. Johansson
A new high-order method for the simulation of incompressible wall-bounded turbulent flows. J. Comput. Phys. 272 (2014)
Jing Gong, Stefano Markidis, Michael Schliephake, Erwin Laure, Dan S. Henningson, Philipp Schlatter, Adam Peplinski, Alistair Hart, Jens Doleschal, David Henty, Paul F. Fischer
Nek5000 with OpenACC. EASC (2014)
Johan Malm, Philipp Schlatter, Paul F. Fischer, Dan S. Henningson
Stabilization of the Spectral Element Method in Convection Dominated Flows by Recovery of Skew-Symmetry. J. Sci. Comput. 57 (2) (2013)
J. A. Åström, Adam Carter, James Hetherington, K. Ioakimidis, Erik Lindahl, G. Mozdzynski, Rupert W. Nash, Philipp Schlatter, Artur Signell, Jan Westerholm
Preparing Scientific Application Software for Exascale Computing. PARA (2012)
Philipp Schlatter, Johan Malm, Geert Brethouwer, Arne V. Johansson, Dan S. Henningson
Large-scale Simulations of Turbulence: HPC and Numerical Experiments. eScience (2011)