Investigation of dynamic control ML algorithms on existing and future Arm microNPU systems
In this thesis, dynamically controlled machine learning algorithms running on state of the art Arm microNPUs, with an attached Cortex-M CPU, were investigated. The machine learning framework used was Tensorflow and different subsets of it, such as Tensorflow Lite micro. Compiling the network to run on the microNPU was done with the use of an open-source compiler called, Vela. In order to investiga
