2026-09-10
11:50 |
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2026-09-10
11:25 |
[FZJ-2026-04367]
Contribution to a conference proceedings/Contribution to a book
Krüger, M. ; Oehrl, S. ; Demiralp, A. C. ; et al
Insite: A Pipeline Enabling In-Transit Visualization and Analysis for Neuronal Network Simulations
2022High Performance Computing. ISC High Performance 2022 International Workshops / Anzt, Hartwig (Editor) ; Cham : Springer International Publishing, 2022, Chapter 20 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-031-23219-0=978-3-031-23220-6 ; doi:10.1007/978-3-031-23220-6
ISC High Performance 2022, HamburgHamburg, Germany, 29 May 2022 - 2 Jun 20222022-05-292022-06-02
Cham : Springer International Publishing, Lecture Notes in Computer Science 13387, 295 - 305 (2022) [10.1007/978-3-031-23220-6_20]2022
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2026-09-10
11:22 |
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2026-09-10
11:19 |
[FZJ-2026-04365]
Contribution to a conference proceedings/Contribution to a book
Krüger, M. ; Oehrl, S. ; Kuhlen, T. W. ; et al
A Case Study on Providing Accessibility-Focused In-Transit Architectures for Neural Network Simulation and Analysis
2023High Performance Computing / Bienz, Amanda (Editor) ; Cham : Springer Nature Switzerland, 2023, Chapter 21 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-031-40842-7=978-3-031-40843-4 ; doi:10.1007/978-3-031-40843-4
ISC High Performance 2023, HamburgHamburg, Germany, 21 May 2023 - 25 May 20232023-05-212023-05-25
Cham : Springer Nature Switzerland, Lecture Notes in Computer Science 13999, 277 - 287 (2023) [10.1007/978-3-031-40843-4_21]2023
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2026-09-10
11:15 |
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2026-09-10
11:07 |
[FZJ-2026-04363]
Contribution to a conference proceedings/Contribution to a book
Krüger, M. ; Milke, J. F. ; Kuhlen, T. ; et al
InsitUE - Enabling Hybrid In-situ Visualizations Through Unreal Engine and Catalyst
2025High Performance Computing. ISC High Performance 2024 International Workshops / Weiland, Michèle (Editor) [https://orcid.org/0000-0003-4713-3073] ; Cham : Springer Nature Switzerland, 2025, Chapter 33 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-031-73715-2=978-3-031-73716-9 ; doi:10.1007/978-3-031-73716-9
ISC High Performance 2024, HamburgHamburg, Germany, 12 May 2024 - 16 May 20242024-05-122024-05-16
Cham : Springer Nature Switzerland, Lecture Notes in Computer Science 15058, 469 - 481 (2025) [10.1007/978-3-031-73716-9_33]2025
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2026-09-10
11:01 |
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2026-09-09
13:47 |
[FZJ-2026-04360]
Poster
Rathore, P. ; Liu, X. ; Cifuentes, L. ; et al
AI-based Sub-Grid Scale Closure for Large Eddy Simulations in the Human Larynx
202618th JLESC Workshop, JLESC, JülichJülich, Germany, 19 May 2026 - 21 May 20262026-05-192026-05-21
As we move towards the Exascale era, the computational cost of Direct Numerical Simulations (DNS) remains a primary bottleneck for high-fidelity fluid flow analysis. Large Eddy Simulations (LES) provide a more affordable alternative, but they inherently lack sub-grid scale (SGS) details required to precisely describe turbulence [...]
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2026-09-09
12:00 |
[FZJ-2026-04359]
Conference Presentation
Rathore, P. ; Cifuentes, L. ; Sarma, R. ; et al
AI-based reconstruction of sub-grid scales for Large-Eddy Simulations
202637th International Conference on Parallel Computational Fluid Dynamics, ParCFD 2026, NantesNantes, France, 3 Nov 2026 - 6 Nov 20262026-11-032026-11-06
High-fidelity computational fluid dynamics (CFD) simulations of turbulent flows are increasingly vital for biomedical and engineering applications. While direct numerical simulation (DNS) resolves all relevant flow scales, its computational requirements are often prohibitive for biomedical applications. [...]
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2026-09-09
11:49 |
[FZJ-2026-04358]
Conference Presentation
Navarro-Martinez, S. ; Un, T.-H. ; Qiao, J. ; et al
Extreme-Scale LES of Reactive Flows for Safety and Defense Applications
202617th World Congress on Computational Mechanics & 10th European Congress on Computational Methods in Applied Sciences and Engineering, WCCM-ECCOMAS 2026, MunichMunich, Germany, 19 Jul 2026 - 24 Jul 20262026-07-192026-07-24
This contribution presents recent advances enabled by the CERISSE high-order compressible CFD framework for aerospace and energy applications, demonstrating extreme-scale large-eddy simulations (LES) of reactive flows exceeding 10 billion grid points. CERISSE is designed for modern high-performance computing, combining adaptive mesh refinement (AMR) with GPU-native parallelization to efficiently target heterogeneous exascale systems. [...]
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