Towards a validated core memory model through (MP)SoC events

The certification of safety-critical systems requires amongst other things understanding the underlying hardware platform, and its use in the context of the system. At the processor level, it means that the designer must understand in detail the behaviour of a core executing a program. Many approaches rely on capturing such knowledge in an abstract model of the core. A crucial question is then does the model correctly represent the processor? and how can the designer prove such correctness? In this paper, we propose a methodology to build a core model, taking solely into account the memory accesses, and to validate the resulting model with associated stressing benchmarks.

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Publication Details

Published
2025-05-26
DOI
https://doi.org/10.1109/isorc65339.2025.00027
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
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article

Towards a validated core memory model through (MP)SoC events

Frédéric Boniol, Claire Pagetti, Benjamin Lesage, Alfonso Mascareñas-González
Parallel Computing and Optimization Techniques
article

Towards a validated core memory model through (MP)SoC events

Frédéric Boniol, Claire Pagetti, Benjamin Lesage, Alfonso Mascareñas-González
article en

Abstract

The certification of safety-critical systems requires amongst other things understanding the underlying hardware platform, and its use in the context of the system. At the processor level, it means that the designer must understand in detail the behaviour of a core executing a program. Many approaches rely on capturing such knowledge in an abstract model of the core. A crucial question is then does the model correctly represent the processor? and how can the designer prove such correctness? In this paper, we propose a methodology to build a core model, taking solely into account the memory accesses, and to validate the resulting model with associated stressing benchmarks.

Office National d'Études et de Recherches Aérospatiales (FR)
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Parallel Computing and Optimization Techniques
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