Formal Semantics of Predictable Pipelines: A Comparative Study
Author(s): Mathieu Jan, Mihail Asavoae, Martin Schoeberl, and Edward A. Lee
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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APA
Mathieu Jan, Mihail Asavoae, Martin Schoeberl, and Edward A. Lee. (2020). Formal Semantics of Predictable Pipelines: A Comparative Study. In 25th Asia and South Pacific Design Automation Conference.
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MLA
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, 2020.
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Chicago
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, 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://doi.org/10.1109/ASP-DAC47756.2020.9045351}}