ASTE: An artificial solver testing environment for partitioned coupling with preCICE

DOI

This dataset contains a software archive of the artificial solver testing environment ASTE (version v3.3.0), its corresponding documentation (as a PDF) and the compatible ASTE turbine tutorial. The documentation of ASTE is its README.md (in 'docs/README.md') converted to a PDF. The turbine tutorial is part of the preCICE tutorials in the preCICE distribution v2404.0. The dataset is connected to a publication in the Journal of Open Source Software (see related software).

The artificial solver testing environment (ASTE) allows to replace and imitate models coupled via the coupling library preCICE by artificial ones, potentially in parallel distributed across multiple ranks on distributed memory. This helps in the development of preCICE, adapters, or simulation setups by reducing the necessary software components, simplifying execution workflows, and reducing runtime of the case.

This version of ASTE was tested with preCICE v3.1.2. Other preCICE v3 releases should be compatible as well.

Use persistent identifiers from Software Heritage (

) to cite individual files or even lines of the source code.

Identifier
DOI https://doi.org/10.18419/darus-4562
Related Identifier IsSupplementTo https://doi.org/10.21105/joss.07127
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-4562
Provenance
Creator Schneider, David ORCID logo; Yurt, Muhammed Kürşat ORCID logo; Simonis, Frédéric (ORCID: 0000-0003-3390-157X); Uekermann, Benjamin ORCID logo
Publisher DaRUS
Contributor Schneider, David; Uekermann, Benjamin
Publication Year 2024
Funding Reference DFG 515015468 ; DFG 528693298 ; DFG EXC 2075 - 390740016
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Schneider, David (Universität Stuttgart); Uekermann, Benjamin (Universität Stuttgart)
Representation
Resource Type Dataset
Format application/pdf; application/gzip; text/markdown
Size 128804; 1103541; 263967; 1425
Version 2.0
Discipline Computer Science; Computer Science, Electrical and System Engineering; Construction Engineering and Architecture; Engineering; Engineering Sciences