Analysis of multi-domain scenarios for optimized dynamic power management strategies

Synchronous dataflow (SDF) models are gaining increased attention in designing software-intensive embedded systems. Especially in the signal processing and multimedia domain, dataflow-oriented models of computation are commonly used by designers reflecting the regular structure of algorithms and providing an intuitive way to specify both sequential and concurrent system functionality. Furthermore, dataflow-oriented models are qualified for capturing dynamic behavior due to data-dependent execution. In this work, we extend those data-dependent dataflow models to include dynamic power management (DPM) aspects of a target platform while still meeting hard timing requirements. We capture different system states in a multi-domain scenario approach and develop a state space based on this SDF representation for system analysis and optimization. By traversing the state space of the power-aware scenario modeling we derive a power management configuration with minimized energy dissipation depending on dynamic system behavior.