Replication Data for: Data-Parallel PU-RBF Interpolation

Version 1.0
Schneider, David, 2025, "Replication Data for: Data-Parallel PU-RBF Interpolation", https://doi.org/10.18419/DARUS-5392, DaRUS, V1
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Description
This dataset contains software (preCICE and ASTE) as well as setup and result files to reproduce the numerical experiments in Section 5.3 of my dissertation titled "Flexible and Efficient Data Mapping for Simulation of Coupled Problems". For further instructions on how to run the experiments see the README.md of the dataset.
Subject Computer and Information Science; Engineering; Mathematical Sciences
Keyword Multiphysics Coupling, Data Mapping, Partition-of-Unity Radial-Basis Function, High-Performance Computing, Performance Portability, Math Software
Related Publication Is Supplement To: D. Schneider. "Flexible and Efficient Data Mapping for Simulation of Coupled Problems". Dissertation. University of Stuttgart, 2026.
Notes The mesh files were partially published previously in

D. Schneider and B. Uekermann. 2024. "Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems", doi: 10.18419/DARUS-4168, DaRUS, V1

as indicated in the README within the respective directories.

Use persistent identifiers from Software Heritage ( Archived | swh:1:rel:229edfc3e51ef51e525a6aa04f58dfe84c730097 ) to cite individual files or even lines of the source code.

I gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for funding this project by providing computing time on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre (www.lrz.de). Furthermore, I thank the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) for supporting this work by funding - EXC2075 - 390740016 under Germany's Excellence Strategy. I acknowledge the support by the Stuttgart Center for Simulation Science (SimTech).
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aste-v3.3.0-dev.tar.gz
Gzip Archive - 1.7 MB
Published Oct 14, 2025
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MD5: 46d77d5f11d54846ee64d51df480bf9a
Snapshot of ASTE used for the experiments.
experimental-setups.tar.gz
Gzip Archive - 1.4 MB
Published Oct 14, 2025
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MD5: a91f4b31473b3a4c87301741f981b4e4
Experimental setups and ready-to-read PDF plots of all experiments.
meshes.tar.gz
Gzip Archive - 981.6 MB
Published Oct 14, 2025
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MD5: d421b7c99582d982c1d4f44753f888aa
Mesh files of the experiments.
precice-v3.2.0-dev.tar.gz
Gzip Archive - 1.7 MB
Published Oct 14, 2025
3 Downloads
MD5: b410b70d29b52904b1da70a6791307a3
preCICE develop version (commit 46ec278408994d86717bcd36800fa72507068b9e) and the additional PU-RBF GPU implementation.
README.md
Markdown Text - 21.5 KB
Published Oct 14, 2025
8 Downloads
MD5: 9d17d02011c74661a06c9f19d4f06192
README explaining the dataset.
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requirements.txt
Plain Text - 576 B
Published Oct 14, 2025
4 Downloads
MD5: 2dc1556c4e777d0db012ea96b5705f8d
Python packages used for ASTE and postprocessing.
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* preCICE: LGPL-3.0 License
* ASTE: GPL-3.0 License
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Curation Status History
StatusDateAssigner
2025-10-14 10:07:01David Schneider
In Review by FoKUS2025-10-10 15:27:12Dorothea Iglezakis
Waiting for Feedback from Author2025-10-07 15:12:09Dorothea Iglezakis
In Review by FoKUS2025-10-06 11:26:50Dorothea Iglezakis
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