Automatic Model Refinement for Fast Architecture Exploration

Abstract

We present a methodology and algorithms for automatic refinement from a given design specification to an architecture model based on decisions in architecture exploration. An architecture model is derived from the specification through a series of well defined steps in our design methodology. Traditional architecture exploration relies on manual refinement which is painfully time consuming and error prone. The automation of the refinement process provides a useful tool to the system designer to quickly evaluate several architectures in the design space and make the optimal choice. Experiments with the tool on a system design example show the robustness and usefulness of the refinement algorithm.