DNN inference is increasingly being executed locally on embedded platforms, due to the clear advantages in latency, privacy and connectivity. Modern SoCs typically execute a combination of different and dynamic workloads concurrently, it is challenging to consistently meet latency/energy budgets because the local computing resources available to the DNN vary considerably. In this poster, we show how resource management can be applied to optimise the performance of DNN workloads by monitoring and tuning both softwa…