Overall MAGEEC is split into three phases: data gathering, training, and compiler infrastructure.
The Data gathering stage is the initial stage where programs are generated, their features collect and the binary executed on the target platform. The energy data for this is collected and entered into a database
The training phase takes the data from the database, and learns a classifier.
This portion of MAGEEC embeds into the compiler as a plugin, controlling which optimisation passes get executed based on the classifier that was learned previously.