Revisiting Timing Anomalies in Predictable In-Order Pipelines

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The quality of timing guarantees ensured through worst-case-execution time analysis and schedulability tests - required to be both sound and precise - is directly influenced by the predictability properties of the execution platform. A platform is considered predictable when safe and precise bounds can be computed through analysis tools. Counter-intuitive and Amplification Timing Anomalies (TAs) are detrimental to predictability and thus may make it much harder/impossible to compute such bounds. In order to address this issue, research has followed two orthogonal approaches, (i) designing predictable execution platforms and (ii) characterizing counter-intuitive TAs through formal definitions. However, predictable designs rarely apply any formal definitions of timing anomalies. This paper aims at investigating precisely this relationship. We first show how a previously proposed definition of counter-intuitive TAs can be applied to the predictable in-order processor SIC. We then extend this approach in order to provide the first formal definition of both counter-intuitive and amplification effects. The proposed definitions are then evaluated on a regular in-order processor as well as the predictable SIC core using a systematic approach that allows to assess their applicability and relevance. Finally, we prove, for the first time, the absence of some, but not all, TA effects in SIC.

Original languageEnglish
Title of host publication37th Euromicro Conference on Real-Time Systems, ECRTS 2025
EditorsRenato Mancuso
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959773775
DOIs
Publication statusPublished - 7 Jul 2025
Event37th Euromicro Conference on Real-Time Systems, ECRTS 2025 - Brussels, Belgium
Duration: 8 Jul 202511 Jul 2025

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume335
ISSN (Print)1868-8969

Conference

Conference37th Euromicro Conference on Real-Time Systems, ECRTS 2025
Country/TerritoryBelgium
CityBrussels
Period8/07/2511/07/25

Keywords

  • Causality
  • Timing Analysis
  • Timing Anomalies
  • Timing Predictability

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