Cone of Influence Analysis at the Electronic System Level Using Machine Learning

Jannis Ulrich Stoppe, Robert Wille, Rolf Drechsler

In: José Silva Matos , Francesco Leporati (Hrsg.). 16th Euromicro Conference on Digital System Design - Proceedings. Euromicro Conference on Digital System Design (DSD-13) 16th befindet sich SEAA 2013 September 4-6 Santander Spain Seiten 582-587 IEEE Press 2013.


Cone of influence analysis, i.e. determining the parts of the circuit which are relevant to a considered circuit signal, is an established methodology applied in several design tasks. In abstractions like the Register Transfer Level (RTL) or the gate level, cone of influence analysis is simple. However, the introduction of higher levels of abstractions, particularly the Electronic System Level (ESL), made it significantly harder to reliably extract a cone of influence. In this paper, we propose a methodology that enables cone of influence analysis at the ESL. Instead of a structural analysis, a behavioral scheme is proposed, i.e. stimuli representing different system executions are analyzed. To this end, machine learning techniques are exploited. This enables a very good approximation of the desired cone of influence which is non-invasive, does not rely on the availability of the source code, and performs fast. Case studies confirm the applicability of the proposed approach.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence