System Level Power and Energy Modeling for Signal Processing Applications

This article presents a new methodology of consumption and performance characterization of software´s intellectual property (IPs) computing on DSPs. These IPs are generally submitted to various constraints especially the real time and energy. The proposed approach exploits parametric models representing the consumption´s behavior of both DSP´s architecture and algorithm. High-level parametric laws of consumption and performance are established. This methodology permits to deduce the energy and the adequate configuration of many applications written in an advanced language (Strict ANSI-C) for a given target. The approach is proved using signal processing applications: Fast Fourier Transform and Finite Impulse Response filter running on C6710 and C5510.