Philipp Schlatter

54 papers A 2B 3C 4Journal 34Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compression of turbulence time series data using Gaussian process regression. Comput. Phys. Commun. Adalberto Perez, Saleh Rezaeiravesh, Yi Ju, Erwin Laure, Stefano Markidis, Philipp Schlatter
2026	J	`jnl`	Effects of lower floating-point precision on scale-resolving numerical simulations of turbulence. J. Comput. Phys. Martin Karp, Ronith Stanly, Timofey Mukha, Luca Galimberti, Siavash Toosi, Hang Song, Lisandro Dalcín, Saleh Rezaeiravesh, Niclas Jansson, Stefano Markidis, Matteo Parsani, Sanjeeb Bose, Sanjiva K. Lele, Philipp Schlatter
2026	—	`conf`	Task-decomposed Overlapped Preconditioner for Sustained Strong Scalability on Accelerated Exascale Systems. SCA/HPC Asia Niclas Jansson, Martin Karp, Szilárd Páll, Stefano Markidis, Philipp Schlatter
2025	C	`conf`	A Performance Model of In-Situ Techniques. PDP Yi Ju, Nicolas Vidal, Adalberto Perez, Ana Gainaru, Frédéric Suter, Stefano Markidis, Philipp Schlatter, Scott Klasky, Erwin Laure
2025	J	`jnl`	Design of Neko - A Scalable High-Fidelity Simulation Framework With Extensive Accelerator Support. Concurr. Comput. Pract. Exp. Niclas Jansson, Martin Karp, Jacob Wahlgren, Stefano Markidis, Philipp Schlatter
2025	J	`jnl`	Direct numerical simulation of a starting rotor at Re J. Vis. Ronith Stanly, Eman Bagheri, Adam Peplinski, Siavash Toosi, Niclas Jansson, Timofey Mukha, Philipp Schlatter
2025	J	`jnl`	Experience and analysis of scalable high-fidelity computational fluid dynamics on modular supercomputing architectures. Int. J. High Perform. Comput. Appl. Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson
2025	J	`jnl`	Robustness and uncertainty of direct numerical simulation under the influence of rounding and noise. CoRR Martin Karp, Niclas Jansson, Saleh Rezaeiravesh, Stefano Markidis, Philipp Schlatter
2024	J	`jnl`	A comprehensive framework to enhance numerical simulations in the spectral-element code Nek5000. Comput. Phys. Commun. Daniele Massaro, Adam Peplinski, Ronith Stanly, S. Mirzareza, Valerio Lupi, Timofey Mukha, Philipp Schlatter
2024	C	`conf`	Dynamic Resource Management for In-Situ Techniques Using MPI-Sessions. EuroMPI Yi Ju, Dominik Huber, Adalberto Perez, Philipp Ulbl, Stefano Markidis, Philipp Schlatter, Martin Schulz, Martin Schreiber, Erwin Laure
2024	J	`jnl`	Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures. CoRR Martin Karp, Estela Suarez, Jan H. Meinke, Måns I. Andersson, Philipp Schlatter, Stefano Markidis, Niclas Jansson
2024	B	`conf`	In-Situ Binary Segmentation of 3D time-dependent Flows into Laminar and Turbulent Regions. ICPP Jiahui Liu, Tobias Edwards, Kristina Durovic, Philipp Schlatter, Tino Weinkauf
2024	J	`jnl`	In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. CoRR Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure
2024	—	`conf`	Neko: A Modern, Portable, and Scalable Framework for Extreme-Scale Computational Fluid Dynamics. CLUSTER Workshops Niclas Jansson, Martin Karp, Stefano Markidis, Philipp Schlatter
2024	J	`jnl`	Supercomputers as a Continous Medium. CoRR Martin Karp, Niclas Jansson, Philipp Schlatter, Stefano Markidis
2024	J	`jnl`	Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications. CoRR Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure
2024	J	`jnl`	Wall-modeled large-eddy simulation based on spectral-element discretization. CoRR Timofey Mukha, Philipp Schlatter
2023	J	`jnl`	Adaptive mesh refinement for global stability analysis of transitional flows. CoRR Daniele Massaro, Valerio Lupi, Adam Peplinski, Philipp Schlatter
2023	A	`conf`	Exploring the Ultimate Regime of Turbulent Rayleigh-Bénard Convection Through Unprecedented Spectral-Element Simulations. SC Niclas Jansson, Martin Karp, Adalberto Perez, Timofey Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, Tino Weinkauf, Jörg Schumacher, Philipp Schlatter, Stefano Markidis
2023	J	`jnl`	Higher-order dynamic mode decomposition on-the-fly: A low-order algorithm for complex fluid flows. J. Comput. Phys. Christian Amor, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche
2023	B	`conf`	In-Situ Techniques on GPU-Accelerated Data-Intensive Applications. e-Science Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure
2023	J	`jnl`	Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran. Int. J. High Perform. Comput. Appl. Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis
2023	—	`conf`	Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow. SC Workshops Martin Karp, Felix Liu, Ronith Stanly, Saleh Rezaeiravesh, Niclas Jansson, Philipp Schlatter, Stefano Markidis
2022	C	`conf`	A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges. HPC Asia Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis
2022	J	`jnl`	An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics. J. Comput. Sci. Saleh Rezaeiravesh, Ricardo Vinuesa, Philipp Schlatter
2022	J	`jnl`	Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems. J. Comput. Phys. Yuki Morita, Saleh Rezaeiravesh, Narges Tabatabaei, Ricardo Vinuesa, Koji Fukagata, Philipp Schlatter
2022	J	`jnl`	In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. J. Supercomput. 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
2022	J	`jnl`	Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran. CoRR Martin Karp, Daniele Massaro, Niclas Jansson, Alistair Hart, Jacob Wahlgren, Philipp Schlatter, Stefano Markidis
2022	J	`jnl`	Modeling the Turbulent Wake Behind a Wall-Mounted Square Cylinder. Log. J. IGPL Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche
2022	J	`jnl`	Predicting the temporal dynamics of turbulent channels through deep learning. CoRR Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi, Philipp Schlatter, Ricardo Vinuesa
2022	—	`conf`	Reducing communication in the conjugate gradient method: a case study on high-order finite elements. PASC Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis
2022	C	`conf`	Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. HPC Asia 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
2022	B	`conf`	Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications. e-Science Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure
2021	J	`jnl`	A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays. CoRR Martin Karp, Artur Podobas, Tobias Kenter, Niclas Jansson, Christian Plessl, Philipp Schlatter, Stefano Markidis
2021	A	`conf`	High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. IPDPS Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis
2021	J	`jnl`	Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics. CoRR Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter
2021	J	`jnl`	Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations. CoRR Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa
2021	J	`jnl`	Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems. CoRR 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
2021	J	`jnl`	UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD). J. Open Source Softw. Saleh Rezaeiravesh, Ricardo Vinuesa, Philipp Schlatter
2020	J	`jnl`	High-Performance Spectral Element Methods on Field-Programmable Gate Arrays. CoRR Martin Karp, Artur Podobas, Niclas Jansson, Tobias Kenter, Christian Plessl, Philipp Schlatter, Stefano Markidis
2020	J	`jnl`	On the use of recurrent neural networks for predictions of turbulent flows. CoRR Luca Guastoni, Prem A. Srinivasan, Hossein Azizpour, Philipp Schlatter, Ricardo Vinuesa
2020	J	`jnl`	Optimization of Tensor-product Operations in Nekbone on GPUs. CoRR Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis
2020	J	`jnl`	Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. CoRR Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa
2019	—	`conf`	Distributed Percolation Analysis for Turbulent Flows. LDAV Anke Friederici, Wiebke Köpp, Marco Atzori, Ricardo Vinuesa, Philipp Schlatter, Tino Weinkauf
2019	J	`jnl`	OpenACC acceleration for the PN-PN-2 algorithm in Nek5000. J. Parallel Distributed Comput. Evelyn Otero, Jing Gong, Misun Min, Paul F. Fischer, Philipp Schlatter, Erwin Laure
2019	—	`conf`	Soft Computing Techniques to Analyze the Turbulent Wake of a Wall-Mounted Square Cylinder. SOCO Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche Martínez
2017	J	`jnl`	On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems. CoRR Nicolas Offermans, Oana Marin, Michel Schanen, Jing Gong, Paul F. Fischer, Philipp Schlatter, Aleks Obabko, Adam Peplinski, Maxwell Hutchinson, Elia Merzari
2016	—	`conf`	On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems. EASC Nicolas Offermans, Oana Marin, Michel Schanen, Jing Gong, Paul F. Fischer, Philipp Schlatter
2016	—	`conf`	Parallel performance of h-type Adaptive Mesh Refinement for Nek5000. EASC Adam Peplinski, Paul F. Fischer, Philipp Schlatter
2014	J	`jnl`	A new high-order method for the simulation of incompressible wall-bounded turbulent flows. J. Comput. Phys. Peter Lenaers, Philipp Schlatter, Geert Brethouwer, Arne V. Johansson
2014	—	`conf`	Nek5000 with OpenACC. EASC Jing Gong, Stefano Markidis, Michael Schliephake, Erwin Laure, Dan S. Henningson, Philipp Schlatter, Adam Peplinski, Alistair Hart, Jens Doleschal, David Henty, Paul F. Fischer
2013	J	`jnl`	Stabilization of the Spectral Element Method in Convection Dominated Flows by Recovery of Skew-Symmetry. J. Sci. Comput. Johan Malm, Philipp Schlatter, Paul F. Fischer, Dan S. Henningson
2012	—	`conf`	Preparing Scientific Application Software for Exascale Computing. PARA J. A. Åström, Adam C. Carter, James Hetherington, K. Ioakimidis, Erik Lindahl, G. Mozdzynski, Rupert W. Nash, Philipp Schlatter, Artur Signell, Jan Westerholm
2011	—	`conf`	Large-scale Simulations of Turbulence: HPC and Numerical Experiments. eScience Philipp Schlatter, Johan Malm, Geert Brethouwer, Arne V. Johansson, Dan S. Henningson