Improving Temperature Prediction Accuracy Using Kalman and Particle Filtering Methods

Predicting the device temperature is crucial for high performance mobile devices since a high temperature reduces the device reliability and lifetime, and increases the power dissipation per processing activity. For these reasons, thermal models are used to predict the temperature and schedule the workloads according to these predictions. This means that more accurate predictions can improve the r...