ABCD-L: approximating continuous linear systems using boolean models

  • Authors:
  • Aadithya V. Karthik;Jaijeet Roychowdhury

  • Affiliations:
  • The University of California, Berkeley, CA;The University of California, Berkeley, CA

  • Venue:
  • Proceedings of the 50th Annual Design Automation Conference
  • Year:
  • 2013

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Abstract

We present ABCD-L, a scalable technique for Analog/Mixed Signal (AMS) modelling/verification that captures the continuous dynamics of Linear Time-Invariant (LTI) systems, using purely Boolean approximations, to any desired level of accuracy. ABCD-L's models can be used in conjunction with existing techniques for Boolean synthesis/verification/fast logic simulation, or with hybrid systems frameworks, to represent LTI dynamics without incurring the penalty of adding continuous variables. Unlike existing state-enumeration approaches like DAE2FSM [1], ABCD-L scales practically linearly with system size. We apply ABCD-L to I/O links composed of RC/RLGC units, capturing important analog effects like inter-symbol interference, overshoot/undershoot, ringing, etc. -- all using purely Boolean models. We also present a continuous-time differential equalizer example, where ABCD-L accurately reproduces key design-relevant AMS metrics, including the eye diagram correction achieved by the circuit. Furthermore, for real-world LTI systems, we demonstrate that ABCD-L can be applied in conjunction with Model Order Reduction (MOR) techniques; we use this to produce accurate Boolean models of an industry-scale power grid network (with 25849 nodes) made available by IBM. We also demonstrate that Boolean simulation using ABCD-L's models offers considerable speed-up over standard circuit simulation using linear multi-step numerical methods.