Analyzing power consumption of message passing primitives in a single-chip multiprocessor

In this work, we propose a methodology for the accurate analysis of the power consumption of interprocessor communication in an MPSoC, and the construction of high-level power macromodels. The models leverage a complete MPSoC power estimation environment, that allows to evaluate the power consumption of various software functions, including message passing primitives, which could not be fully characterized in single-processor analysis framework developed in the past. Based on this data we built power macromodels that achieve average estimation errors below 5%.