Computational Earth Sciences Group, BSC

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Published May 7, 2025 | Version v4.1.14
Software Open

Autosubmit

Authors/Creators

  • 1. Barcelona SuperComputing Center
  • 2. Barcelona Supercomputing Center
  • 3. Georgia Tech
  • 4. Alfred Wegener Institute, Helmholtz Institute for Polar and Marine Research
  • 5. BSC - Barcelona Supercomputing Center

Description

4.1.14: Bug fixes, enhancements, and new features

Bug fixes:

  • Fixed an issue with X11 calls causing errors. #2324
  • Resolved a problem where the Autosubmit monitor failed for non-owners of experiments. #2272
  • Corrected an issue where experiment_data was not saved when using a shared account. PR
  • Fixed timestamp-related issues in logs and processes. #2275, PR, PR
  • Reintroduced the %SCRATCH_DIR% variable and fixed problems with date variables. #2248, PR
  • Resolved an authentication issue related to user mapping. PR #2333
  • Fixed issues with wrapper not updating status correctly. #2274 PR

Enhancements:

  • Improved validation for the expid flag. PR
  • Made the details database more consistent and reliable. PR
  • Enhanced the flexibility of workflows, allowing for more adaptable configurations. #2276
  • Improved the log recovery logs. PR

New features:

  • Added support for %^% variables to improve template customization. PR, Docs
  • Operational runs now require no pending commits, ensuring a cleaner workflow. #2220, PR

Files

autosubmit-4.1.14.zip

Files (6.6 MB)

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md5:a8daa406a1414a00e11a0a4172a97a96
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Additional details

Identifiers

URL
https://pypi.org/project/autosubmit/4.1.14/

Related works

Is supplement to
Software: https://github.com/BSC-ES/autosubmit/releases/tag/v4.1.14 (URL)

Software

Repository URL
https://github.com/BSC-ES/autosubmit

References

  • D. Manubens-Gil, J. Vegas-Regidor, C. Prodhomme, O. Mula-Valls and F. J. Doblas-Reyes, "Seamless management of ensemble climate prediction experiments on HPC platforms," 2016 International Conference on High Performance Computing & Simulation (HPCS), Innsbruck, Austria, 2016, pp. 895-900, doi: 10.1109/HPCSim.2016.7568429. keywords: {Computational modeling;Atmospheric modeling;Monitoring;Earth;Data models;Weather forecasting;Earth System Modelling;Climate;Weather;High Performance Computing;Workflow manager},