Methodology for Formal Verification of Hardware Safety Strategies Using SMT

Safety-critical embedded systems must maintain their functionality even in the presence of single permanent hardware failure. Naive redundancy of hardware is often unaffordable and impractical, therefore alternative strategies must be explored for minimal cost fault tolerance. The objective of this article is to propose a methodology to evaluate formally safety strategies using satisfiability modulo theory solvers. Practically, the approach consists in providing a bounded model checking demonstration applied to the formal model of hardware. We show the capabilities of the approach on an efficient hardware accelerator designed to perform parallel computations of matrix multiplications and convolutions.

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Publication Details

Journal
IEEE Embedded Systems Letters
Published
2024-12-01
DOI
https://doi.org/10.1109/les.2024.3439859
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
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article

Methodology for Formal Verification of Hardware Safety Strategies Using SMT

Kévin Delmas, Claire Pagetti, Adrien Gauffriau, Anthony Faure–Gignoux
IEEE Embedded Systems Letters
Safety Systems Engineering in Autonomy
article

Methodology for Formal Verification of Hardware Safety Strategies Using SMT

Kévin Delmas, Claire Pagetti, Adrien Gauffriau, Anthony Faure–Gignoux
article en

Abstract

Safety-critical embedded systems must maintain their functionality even in the presence of single permanent hardware failure. Naive redundancy of hardware is often unaffordable and impractical, therefore alternative strategies must be explored for minimal cost fault tolerance. The objective of this article is to propose a methodology to evaluate formally safety strategies using satisfiability modulo theory solvers. Practically, the approach consists in providing a bounded model checking demonstration applied to the formal model of hardware. We show the capabilities of the approach on an efficient hardware accelerator designed to perform parallel computations of matrix multiplications and convolutions.

IEEE Embedded Systems LettersVol. 16(4)
Airbus (France) (FR), Office National d'Études et de Recherches Aérospatiales (FR), Airbus (United Kingdom) (GB)
Openalex Percentile: Top 75%
Safety Systems Engineering in Autonomy
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Methodology for Formal Verification of Hardware Safety Strategies Using SMT — Kévin Delmas, Claire Pagetti, et al. · IEEE Embedded Systems Letters (2024) | TGRS Research Map | TGRS