Provided by: Ghent University
Date Added: Apr 2011
Analytical processor performance modeling has received increased interest over the past few years. There are basically two approaches to constructing an analytical model: mechanistic modeling and empirical modeling. Mechanistic modeling builds up an analytical model starting from a basic understanding of the underlying system - white-box approach - whereas empirical modeling constructs an analytical model through statistical inference and machine learning from training data, e.g., regression modeling or neural networks - black-box approach. While an empirical model is typically easier to construct, it provides less insight than a mechanistic model.