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Releases: onera/acetone

Non-regression tests between template and non-template generations

16 Apr 11:40
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Stable version with tests comparing the code generation with and without templates.
(cd https://github.com/idealbuq/NNCodeGenerator/tree/main for the generation without templates)

2022-ECRTS

11 Mar 14:22
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2022-ECRTS Pre-release
Pre-release

ACETONE Artifact for the 2022 ECRTS publication: ACETONE: Predictable Programming Framework for ML Applications in Safety-Critical Systems

See the DROPS server for the running artifact example

Citing

@InProceedings{dealbuquerquesilva_et_al:LIPIcs.ECRTS.2022.3,
  author = {De Albuquerque Silva, Iryna and Carle, Thomas and Gauffriau, Adrien and Pagetti, Claire},
  title = {{ACETONE: Predictable Programming Framework for ML Applications in Safety-Critical Systems}},
  booktitle = {34th Euromicro Conference on Real-Time Systems (ECRTS 2022)},
  pages = {3:1--3:19},
  series = {Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN = {978-3-95977-239-6},
  ISSN = {1868-8969},
  year = {2022},
  volume = {231},
  editor = {Maggio, Martina},
  publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address = {Dagstuhl, Germany},
  URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2022.3},
  URN = {urn:nbn:de:0030-drops-163202},
  doi = {10.4230/LIPIcs.ECRTS.2022.3},
  annote = {Keywords: Real-time safety-critical systems, Worst Case Execution Time analysis, Artificial Neural Networks implementation}
}