guest ::
| Home > Publications database > Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI |
| Home > Publications database > Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI |
| Contribution to a conference proceedings/Contribution to a book | FZJ-2024-03256 |
; ; ; ; ; ; ; ; ; ; ;
2023
Association for Computing Machinery
New York, USA
ISBN: 9798400707858
This record in other databases:
Please use a persistent id in citations: doi:10.1145/3624062.3624159 doi:10.34734/FZJ-2024-03256
Abstract: In the realm of Computational Fluid Dynamics (CFD), the demand for memory and computation resources is extreme, necessitating the use of leadership-scale computing platforms for practical domain sizes. This intensive requirement renders traditional checkpointing methods ineffective due to the significant slowdown in simulations while saving state data to disk. As we progress towards exascale and GPU-driven High-Performance Computing (HPC) and confront larger problem sizes, the choice becomes increasingly stark: to compromise data fidelity or to reduce resolution. To navigate this challenge, this study advocates for the use of in situ analysis and visualization techniques. These allow more frequent data "snapshots" to be taken directly from memory, thus avoiding the need for disruptive checkpointing. We detail our approach of instrumenting NekRS, a GPU-focused thermal-fluid simulation code employing the spectral element method (SEM), and describe varied in situ and in transit strategies for data rendering. Additionally, we provide concrete scientific use-cases and report on runs performed on Polaris, Argonne Leadership Computing Facility’s (ALCF) 44 Petaflop supercomputer and Jülich Wizard for European Leadership Science (JUWELS) Booster, Jülich Supercomputing Centre’s (JSC) 71 Petaflop High Performance Computing (HPC) system, offering practical insight into the implications of our methodology.
|
The record appears in these collections: |
PDF