A Neural Network Approach to Dynamic Frequency Scaling

Abstract

An intelligent dynamic frequency scaling strategy has been proposed in this paper. The technique uses a neural network model to predict the future computational load of the system and uses this information for taking decisions related to frequency scaling. The mentioned policy is highly effective for applications with complex behavior and drastically varying computational load.