Stochastic Simulation of Integrated Circuits with Nonlinear Black-Box Components via Augmented Deterministic Equivalents
This paper extends recent literature results concerning the statistical simulation of circuits affected by random electrical parameters by means of the polynomial chaos framework. With respect to previous implementations, based on the generation and simulation of augmented and deterministic circu...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Stefan cel Mare University of Suceava
2014-11-01
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Series: | Advances in Electrical and Computer Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.4316/AECE.2014.04001 |
Summary: | This paper extends recent literature results concerning the statistical simulation of circuits affected
by random electrical parameters by means of the polynomial chaos framework. With respect to previous
implementations, based on the generation and simulation of augmented and deterministic circuit equivalents,
the modeling is extended to generic and ?black-box? multi-terminal nonlinear subcircuits describing
complex devices, like those found in integrated circuits. Moreover, based on recently-published works
in this field, a more effective approach to generate the deterministic circuit equivalents is implemented,
thus yielding more compact and efficient models for nonlinear components. The approach is fully compatible
with commercial (e.g., SPICE-type) circuit simulators and is thoroughly validated through the statistical
analysis of a realistic interconnect structure with a 16-bit memory chip. The accuracy and the comparison
against previous approaches are also carefully established. |
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ISSN: | 1582-7445 1844-7600 |