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Invited Paper
Invited Paper: Assessing Unchecked Factors for Certification: An Experimental Approach for GPU Cache Parameters

Authors: Cédric Cazanove, Benjamin Lesage, Frédéric Boniol, and Jérôme Ermont

Published in: OASIcs, Volume 121, 22nd International Workshop on Worst-Case Execution Time Analysis (WCET 2024)


Abstract
The certification objectives for airborne electronic hardware defined in AMC20-152A [EASA, 2021] and in AMC20-193 [EASA, 2020] capture some of the activities required for an applicant to embed a hardware platform in a safety-critical avionic system. For COTS (Commercially available Off-The-Shelf) platforms in particular, these objectives require applicants to identify functions, configuration settings, and resources present on the platform, and assess their use by the system. AMC20-152A however recognizes that documentation regarding the behavior of a COTS may be incomplete. There is thus a strong push for applicants to the certification of a COTS to demonstrate their mastery of the platform, to highlight relevant factors (functions, settings, resources, etc.), and their use in their system. We outline in the following a standard approach to the exploration of unchecked factors of a platform, considering existing approaches in the literature, to build such a mastery. Our approach incrementally incorporates and validates knowledge of various factors by including them in micro-simulations compared to experimental ground truth.

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Cédric Cazanove, Benjamin Lesage, Frédéric Boniol, and Jérôme Ermont. Invited Paper: Assessing Unchecked Factors for Certification: An Experimental Approach for GPU Cache Parameters. In 22nd International Workshop on Worst-Case Execution Time Analysis (WCET 2024). Open Access Series in Informatics (OASIcs), Volume 121, pp. 3:1-3:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{cazanove_et_al:OASIcs.WCET.2024.3,
  author =	{Cazanove, C\'{e}dric and Lesage, Benjamin and Boniol, Fr\'{e}d\'{e}ric and Ermont, J\'{e}r\^{o}me},
  title =	{{Invited Paper: Assessing Unchecked Factors for Certification: An Experimental Approach for GPU Cache Parameters}},
  booktitle =	{22nd International Workshop on Worst-Case Execution Time Analysis (WCET 2024)},
  pages =	{3:1--3:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-346-1},
  ISSN =	{2190-6807},
  year =	{2024},
  volume =	{121},
  editor =	{Carle, Thomas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2024.3},
  URN =		{urn:nbn:de:0030-drops-204719},
  doi =		{10.4230/OASIcs.WCET.2024.3},
  annote =	{Keywords: GPU, benchmarks, simulation, certification}
}