Published September 25, 2023
| Version v1
Software
Open
Software and Analysis for paper: Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI
Creators
- 1. Argonne National Laboratory
- 2. Forschungszentrum Jülich, Jülich Supercomputing Centre
- 3. Argonne National Laboratory, University of Illinois Urbana-Champaign
- 4. Argonne National Laboratory, Northern Illinois University
- 5. Argonne National Laboratory, University of Illinois at Chicago
Description
This includes reproducibility files for ISAV 2023 workshop paper submission titled: Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI
- isav23-analysis.tar.gz: Jupiter notebook files containing the analysis of the runs
- nekRS.tar.gz: NekRS with SENSEI instrumentation
- pb146_catalyst.tar.gz: Use case with catalyst scripts
- pb146_no_sensei.tar.gz: Use case without sensei (checkpointing only)
- jsc-sensei-confs.txt: XML files used to setup the in transit use case
- isav23-jsc-setup.tar.gz: Generator-script for the JSC setups
Files
jsc-sensei-confs.txt
Files
(508.2 MB)
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md5:43b5f8ac64ca46c52a37c5d191665d8e
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351.2 MB | Download |
md5:04ab0cf02590f3d31fdc224de4583a72
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41.2 kB | Download |
md5:253dcece9acc2bfe6873f25cb1457d5d
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1.4 kB | Preview Download |
md5:82d3ca9df7c6cfed07f311f9bd847e91
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134.5 MB | Download |
md5:3232ef7b1899f28ea65efebb85f3a5d5
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11.3 MB | Download |
md5:7922527e3bd118d68723c25c30312c3a
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11.3 MB | Download |
Additional details
Related works
- Is supplement to
- Conference paper: 10.1145/3624062.3624159 (DOI)
References
- Victor A. Mateevitsi, Mathis Bode, Nicola Ferrier, Paul Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, and Jonathan Windgassen. 2023. Scaling Compu- tational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. In Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W 2023), November 12–17, 2023, Den- ver, CO, USA. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/ 3624062.3624159