Global convergence analysis of mixed-signal systems

Authors:
Sangho Youn;Jaeha Kim;Mark Horowitz
Affiliations:
Seoul National University, Seoul, Korea;Seoul National University, Seoul, Korea;Stanford University, Stanford, CA
Venue:
Proceedings of the 48th Design Automation Conference
Year:
2011

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Abstract

This paper proposes two practical approaches to address global convergence failures, commonly encountered in mixed-signal systems in which analog and digital components closely interact. That is, a nominally-working system may fail intermittently depending on its initial conditions upon start-up. The first approach uses a data clustering analysis and verifies global convergence with randomly-selected pilot simulations. The second approach adopts the practice of representing indeterminate states with X by defining its equivalent concept for analog based on entropy. With oscillator and phase-locked loop examples, it is demonstrated that the proposed approaches can effectively detect the failures and guide designers where to add more resets to prevent them.