Résumé
Modern edge computing systems must balance performance and energy efficiency under constrained power budgets. We present ADAM (ADAptive Microcontroller), an open-source and parametric RISC-V platform designed to explore architectural and softwarelevel mechanisms for energy-aware embedded computing. ADAM supports heterogeneous cores organized into separate low-power and high-performance domains, enabling partitioned execution across a range of workload intensities. The platform introduces the Activity Pause Protocol, a software-driven interface for coordinating clock and power gating transitions, and includes a hybrid evaluation flow that combines FPGA execution with post-synthesis RTL simulation using execution context snapshotting. We demonstrate ADAM's capabilities with a keyword spotting use case, highlighting how domain separation and programmable power management reduce energy consumption by up to 38% in intermittent workloads.