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In this work, we present the experimental assessment of a parallel framework that allows to reduce the energy consumption of MPSoC platforms running hard real-time systems. We use a power-aware Fork-Join task model based on primitives of the OpenMP library, a scheduling algorithm to execute such model and a schedulability test from the literature to ensure that all timing requirements are met while the energy consumption of the whole system is reduced. Practical experiments involving thedoi:10.1145/2997465.2997473 dblp:conf/rtns/PaolilloRVGR16 fatcat:vmdxgallprgajljbfdbkqmwtvm