Releases: onera/acetone
Releases · onera/acetone
Non-regression tests between template and non-template generations
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
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}
}