Philipp Schlatter

According to our database, Philipp Schlatter authored at least 35 papers between 2011 and 2023.

Collaborative distances:

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

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

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., February, 2023

Adaptive mesh refinement for global stability analysis of transitional flows.

Daniele Massaro, Valerio Lupi, Adam Peplinski, Philipp Schlatter

CoRR, 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

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

Proceedings of the 19th IEEE International Conference on e-Science, 2023

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, Tino Weinkauf

J. Supercomput., 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

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

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

Predicting the temporal dynamics of turbulent channels through deep learning.

Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi, Philipp Schlatter, Ricardo Vinuesa

CoRR, 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

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

Proceedings of the 18th IEEE International Conference on e-Science, 2022

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

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

Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations.

Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa

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

Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence.

Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa

CoRR, 2020

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

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

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

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Distributed Percolation Analysis for Turbulent Flows.

Anke Friederici, Wiebke Köpp, Marco Atzori, Ricardo Vinuesa, Philipp Schlatter, Tino Weinkauf

Proceedings of the 9th IEEE Symposium on Large Data Analysis and Visualization, 2019

2017

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

2016

Parallel performance of h-type Adaptive Mesh Refinement for Nek5000.

Adam Peplinski, Paul F. Fischer, Philipp Schlatter

Proceedings of the Exascale Applications and Software Conference 2016, 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

Proceedings of the Exascale Applications and Software Conference 2016, 2016

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

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

Proceedings of the Solving Software Challenges for Exascale, 2014

2013

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

2012

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

Proceedings of the Applied Parallel and Scientific Computing, 2012

2011

Large-scale Simulations of Turbulence: HPC and Numerical Experiments.

Philipp Schlatter, Johan Malm, Geert Brethouwer, Arne V. Johansson, Dan S. Henningson

Proceedings of the IEEE 7th International Conference on E-Science, 2011