ORACLE: optimization with recourse of analog circuits including layout extraction
Proceedings of the 41st annual Design Automation Conference
Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
Systematic development of analog circuit structural macromodels through behavioral model decoupling
Proceedings of the 42nd annual Design Automation Conference
A combined feasibility and performance macromodel for analog circuits
Proceedings of the 42nd annual Design Automation Conference
OPERA: optimization with ellipsoidal uncertainty for robust analog IC design
Proceedings of the 42nd annual Design Automation Conference
Performance space modeling for hierarchical synthesis of analog integrated circuits
Proceedings of the 42nd annual Design Automation Conference
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Geometric programming for communication systems
Communications and Information Theory
Automation in mixed-signal design: challenges and solutions in the wake of the nano era
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Simulation-based reusable posynomial models for MOS transistor parameters
Proceedings of the conference on Design, automation and test in Europe
Classification of analog synthesis tools based on their architecture selection mechanisms
Integration, the VLSI Journal
A general method to evaluate RF BIST techniques based on non-parametric density estimation
Proceedings of the conference on Design, automation and test in Europe
Evaluation of analog/RF test measurements at the design stage
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Convex piecewise-linear modeling method for circuit optimization via geometric programming
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Analog Integrated Circuits and Signal Processing
A geometric programming aided knowledge based approach for analog circuit synthesis and sizing
Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI
An Efficient Global Approach for Posynomial Geometric Programming Problems
INFORMS Journal on Computing
A new approach to sizing analog CMOS building blocks using pre-compiled neural network models
Analog Integrated Circuits and Signal Processing
Variability-aware, discrete optimization for analog circuits
Proceedings of the 49th Annual Design Automation Conference
Operating-point driven formulation for analog computer-aided design
Analog Integrated Circuits and Signal Processing
Formal verification of analog circuit parameters across variation utilizing SAT
Proceedings of the Conference on Design, Automation and Test in Europe
A size sensitivity method for interactive CMOS circuit sizing
Analog Integrated Circuits and Signal Processing
A convex macromodeling of dynamic comparator for analog circuit synthesis
Analog Integrated Circuits and Signal Processing
Proceedings of the International Conference on Computer-Aided Design
Hi-index | 0.03 |
This paper presents an overview of methods to automatically generate posynomial response surface models for the performance characteristics of analog integrated circuits based on numerical simulation data. The methods are capable of generating posynomial performance expressions for both linear and nonlinear circuits and circuit characteristics, at SPICE-level accuracy. This approach allows for automatic generation of an accurate sizing model for a circuit that composes a geometric program that fully describes the analog circuit sizing problem. The automatic generation avoids the time-consuming and approximate nature of handcrafted analytic model generation. The methods are based on techniques from design of experiments and response surface modeling. Attention is paid to estimating the relative "goodness-of-fit" of the generated models. Experimental results illustrate the capabilities and effectiveness of the presented methods.