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2020 – today
- 2024
[j11]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: 109249 (2024)- [c18]Niclas Jansson, Martin Karp, Stefano Markidis, Philipp Schlatter:
Neko: A Modern, Portable, and Scalable Framework for Extreme-Scale Computational Fluid Dynamics. CLUSTER Workshops 2024: 156-157 - [c17]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: 210-219 - [c16]Yi Ju, Dominik Huber, Adalberto Perez, Philipp Ulbl, Stefano Markidis, Philipp Schlatter, Martin Schulz, Martin Schreiber, Erwin Laure:
Dynamic Resource Management for In-Situ Techniques Using MPI-Sessions. EuroMPI 2024: 105-120 - [i17]Timofey Mukha, Philipp Schlatter:
Wall-modeled large-eddy simulation based on spectral-element discretization. CoRR abs/2404.05378 (2024) - [i16]Martin Karp, Niclas Jansson, Philipp Schlatter, Stefano Markidis:
Supercomputers as a Continous Medium. CoRR abs/2405.05639 (2024) - [i15]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 abs/2405.05640 (2024) - [i14]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 abs/2407.20717 (2024) - [i13]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 abs/2407.20731 (2024) - 2023
- [j10]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): 487-502 (2023) - [j9]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: 111849 (2023) - [c15]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: 1-10 - [c14]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: 5:1-5:9 - [c13]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: 387-390 - [i12]Daniele Massaro, Valerio Lupi, Adam Peplinski, Philipp Schlatter:
Adaptive mesh refinement for global stability analysis of transitional flows. CoRR abs/2309.10574 (2023) - 2022
- [j8]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): 263-276 (2022) - [j7]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: 110788 (2022) - [j6]Saleh Rezaeiravesh, Ricardo Vinuesa, Philipp Schlatter:
An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics. J. Comput. Sci. 62: 101688 (2022) - [j5]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:
In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst. J. Supercomput. 78(3): 3605-3620 (2022) - [c12]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: 295-305 - [c11]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: 94-102 - [c10]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: 125-136 - [c9]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: 2:1-2:11 - [i11]Giuseppe Borrelli, Luca Guastoni, Hamidreza Eivazi, Philipp Schlatter, Ricardo Vinuesa:
Predicting the temporal dynamics of turbulent channels through deep learning. CoRR abs/2203.00974 (2022) - [i10]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 abs/2207.07098 (2022) - 2021
- [j4]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): 2871 (2021) - [c8]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: 1077-1086 - [i9]Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter:
Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics. CoRR abs/2107.01243 (2021) - [i8]Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa:
Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations. CoRR abs/2107.10711 (2021) - [i7]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 abs/2108.12188 (2021) - [i6]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 abs/2109.03592 (2021) - 2020
- [i5]Luca Guastoni, Prem A. Srinivasan, Hossein Azizpour, Philipp Schlatter, Ricardo Vinuesa:
On the use of recurrent neural networks for predictions of turbulent flows. CoRR abs/2002.01222 (2020) - [i4]Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa:
Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. CoRR abs/2005.02762 (2020) - [i3]Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis:
Optimization of Tensor-product Operations in Nekbone on GPUs. CoRR abs/2005.13425 (2020) - [i2]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 abs/2010.13463 (2020)
2010 – 2019
- 2019
- [j3]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: 69-78 (2019) - [c7]Anke Friederici, Wiebke Köpp, Marco Atzori, Ricardo Vinuesa, Philipp Schlatter, Tino Weinkauf:
Distributed Percolation Analysis for Turbulent Flows. LDAV 2019: 42-51 - [c6]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: 577-586 - 2017
- [i1]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 abs/1706.02970 (2017) - 2016
- [c5]Adam Peplinski, Paul F. Fischer, Philipp Schlatter:
Parallel performance of h-type Adaptive Mesh Refinement for Nek5000. EASC 2016: 4:1-4:9 - [c4]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: 5:1-5:10 - 2014
- [j2]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: 108-126 (2014) - [c3]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: 57-68 - 2013
- [j1]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): 254-277 (2013) - 2012
- [c2]J. A. Åström, Adam C. 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: 27-42 - 2011
- [c1]Philipp Schlatter, Johan Malm, Geert Brethouwer, Arne V. Johansson, Dan S. Henningson:
Large-scale Simulations of Turbulence: HPC and Numerical Experiments. eScience 2011: 319-324
Coauthor Index
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