An electronic system level modeling approach for the design and verification of low-power systems-on chip

A SoC power management solution can be defined by a low-power architecture composed of multiple power domains and a power management strategy for power domains states control. If these two elements are energy-efficient, an energy-efficient solution can be obtained. This approach requires inferring power structural elements and their related behavior in the chip internal logic. A strategy adjusting the power domains states must respect structural and functional dependencies due to the physical power domains composition. This strong relationship between power architecture and its management strategy must be explored at early design stages to find the most energy-efficient solution. Low-power design standards have recently enabled low-power architecture exploration starting from the Register Transfer Level (RTL) by defining semantics to specify power architecture, simulate and check its behavior along with the initial functional one. But, these standards miss semantics for reusable power domain control interface making power management strategies exploration tedious. The RTL-based semantics defined by these standards constrain also their use at Transaction-Level of Modeling (TLM) for fast and easy exploration. This dissertation proposes extensions to low-power standards to fill these gaps. It provides a complete study of power optimization opportunities based on composition and management of power domains in Transaction-Level (TL) functional models within a common USLPAF framework. USLPAF includes a methodology that combines design and verification of TL low-power models. To apply this methodology, USLPAF incorporates a library of modeling techniques and built-in features.

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Source https://theses.hal.science/tel-00837662
Author Mbarek, Ons
Maintainer CCSD
Last Updated May 8, 2026, 05:08 (UTC)
Created May 8, 2026, 05:08 (UTC)
Identifier NNT: 2013NICE4023
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Electronique, Antennes et Télécommunications (LEAT) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)
creator Mbarek, Ons
date 2013-05-29T00:00:00
harvest_object_id d020343a-823b-42fa-9ac9-219071027483
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE