Formal Semantics of Predictable Pipelines: A Comparative Study
Author(s): Mathieu Jan, Mihail Asavoae, Martin Schoeberl, and Edward A. Lee
Citation
Mathieu Jan, Mihail Asavoae, Martin Schoeberl, and Edward A. Lee. "Formal Semantics of Predictable Pipelines: A Comparative Study". 25th Asia and South Pacific Design Automation Conference, January 13-16 2020.
Abstract
Computer architectures used in safety-critical domains are subjected to worst-case execution time analysis. The presence of performance-driven microarchitectures may trigger undesired timing phenomena, called timing anomalies, and complicate the timing analysis. This paper investigates pipelines specifically designed to simplify the worst-case execution time analysis (also called predictable pipelines). We propose formal and executable models of four research-oriented pipelines and one industrial pipeline to validate some of their claims related to their timing behavior. We indeed validate, via bounded model checking, the absence of a type of timing anomalies called amplification timing anomalies, or its potential presence by identifying prerequisite to situations where they can occur.
Citation Formats
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HTML
Mathieu Jan, Mihail Asavoae, Martin Schoeberl, and Edward A. Lee. "<a href="https://www.icyphy.org/publications/2020_JanEtAl/">Formal Semantics of Predictable Pipelines: A Comparative Study</a>". <i>25th Asia and South Pacific Design Automation Conference</i>, January 13-16 2020.
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Plain Text
Mathieu Jan, Mihail Asavoae, Martin Schoeberl, and Edward A. Lee. "Formal Semantics of Predictable Pipelines: A Comparative Study". 25th Asia and South Pacific Design Automation Conference, January 13-16 2020.
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BibTeX
@inproceedings{JanEtAl:20:Pipelines, author = {Mathieu Jan, Mihail Asavoae, Martin Schoeberl, and Edward A. Lee}, title = {Formal Semantics of Predictable Pipelines: A Comparative Study},
booktitle = {25th Asia and South Pacific Design Automation Conference},
month = {January 13-16},
year = {2020},
abstract = {Computer architectures used in safety-critical domains are subjected to worst-case execution time analysis. The presence of performance-driven microarchitectures may trigger undesired timing phenomena, called timing anomalies, and complicate the timing analysis. This paper investigates pipelines specifically designed to simplify the worst-case execution time analysis (also called predictable pipelines). We propose formal and executable models of four research-oriented pipelines and one industrial pipeline to validate some of their claims related to their timing behavior. We indeed validate, via bounded model checking, the absence of a type of timing anomalies called amplification timing anomalies, or its potential presence by identifying prerequisite to situations where they can occur.}, URL = {https://www.icyphy.org/publications/2020_JanEtAl/} }