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- Titel:
Containerization (of HPC Workflows)
- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 07.02.2025
- Verantwortlich:
- Farnbacher, Benjamin
- Autorinnen / Autoren:
- Hoppe, Nils; Chiapparino, Giuseppe; Ulrich, Friedrich; Jiao, Yu; Farnbacher, Benjamin; Kuok, Chon Kit; Ye, Yuan; Acundas, Hakan; Polat, Yigit; Stemmer, Christian
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Identifikator:
- doi:10.14459/2025mp1767869.001
- Konzept-DOI:
- doi:10.14459/2025mp1767869
- Enddatum der Datenerzeugung:
- 20.01.2025
- Fachgebiet:
- DAT Datenverarbeitung, Informatik; MAS Maschinenbau; MTA Technische Mechanik, Technische Thermodynamik, Technische Akustik
- zusätzliche Fachgebiete:
- Research Data Management, High Performance Computing
- Quellen der Daten:
- Experimente und Beobachtungen / experiments and observations; Simulationen / simulations; Statistik und Referenzdaten / statistics and reference data; Logfiles und Nutzungsdaten / log files and usage data; Textdokumente / text documents
- Datentyp:
- Texte / texts; Programme und Anwendungen / software and applications
- Anderer Datentyp:
- (Container-)Templates
- Methode der Datenerhebung:
- Versioned entity of the software repository developed by the Chair of Aerodynamics and Fluid Mechanics at Technical University of Munich. The test cases have been produced at Jülich Supercomputing Centre (JSC) and Leipniz Supercomputing Centre (LRZ)
- Beschreibung:
- Standards, templates and best-practice guidelines on container reproducibility for HPC systems.
- Links:
Updates are continuously released at https://gitlab.lrz.de/nfdi4ing/containerization
- Schlagworte:
- RDM; HPC; Container; Docker; Reproducibility
- Technische Hinweise:
- View and download (185 MB total, 77 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1767869.001):
rsync rsync://m1767869.001@dataserv.ub.tum.de/m1767869.001/ - Sprache:
- en
- Andere Rechte:
- Software: GNU GPLv3 (or newer) Text: CC-BY-SA (4.0)
- Note:
- The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) project number 442146713. The authors would also thank the Competence Network for Scientific High Performance Computing in Bavaria (KONWIHR) for their funding and support within a short term project.
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