Predictive Dynamic Frequency Scaling for Multi-Processor Systems-on-Chip

This paper proposes a novel strategy for optimizing resources in Multi-Processor Systems-on-Chip (MPSoC). The approach is based on using control-loop feedback mechanism to maximize the efficiency on exploiting available resources such as CPU time, operating frequency, etc. Each Processing Element (PE) in the architecture is equipped with a frequency scaling module responsible for tuning the frequency of processors at run-time according to the application requirements. Results show the system's capability of adapting to disturbing conditions. For validation purposes we have implemented a multi-threaded MJPEG decoder together with an ADPCM audio decoder and a FIR.