Synopsys, Inc.

Leland Stanford Junior University

Sunderarajan Sunderesan Mohan

Maria Del Mar Hershenson

Almir Mutapcic

Ricardo Antonio Oliva

Stephen P Boyd

David M Colleran

Talal Al-Attar

Surendra Singh Rawat

A system and method for generating simulation-friendly compact physical models for passive structures is disclosed. The method includes generating an impedance map specifying impedances at a plurality of frequencies corresponding to one or more port-pairs of a circuit component using a processor to extract a plurality of impedance values between the one or more port-pairs based on a first value for each parameter of a plurality of parameters of the circuit component. The method includes generating a second circuit representation model based on updating the plurality of impedance values between the one or more port-pairs based on a second value for one or more parameters of the plurality of parameters of the circuit component, and updating the second circuit representation model by tuning the updated plurality of impedance values of the between the one or more port-pairs based on a predetermined use context of the circuit component in a circuit.

Generating simulation-friendly compact physical models for passive structures

Circuit simulation can be performed on digital, analog, and mixed signal types of circuitry. Phases of operation are identified for a circuit and transient behavior is analyzed. Multiple time points are identified and the circuit is replicated for those time points with evaluation of the circuitry performed at those various time points. Simultaneous optimization is performed across the time points. Transistors and other devices can have their lengths, widths, and number of fingers optimized. Simulation can include determining Kirchhoff current law equations for various nodes within the circuit. Equations describing device operation can include non-convex signomial equations and convex polynomial equations.

Equation based transient circuit optimization

A method is described that involves solving a family of equations for a circuit being designed over a subset of operational scenarios, thereby producing numeric values for design parameters of the circuit. The family of equations is enhanced with the numeric values are solved over a second subset of the operational scenarios. A design for the circuit that includes the numeric values is produced.

Automated circuit design using active set solving process

A method is described that involves accepting a description of an electronic system having feedback. The method further includes expressing a real root of the electronic system's transfer function and expressing a real part of a complex root of the electronic system's transfer function. The method further includes expressing a time parameter as a maximum of the real root and the real part of a complex root. The method further involves expressing a settling time of the electronic system with the time parameter and using the settling time to automatically generate a design for the electronic system.

Automated circuit design for generation of stability constraints for generically defined electronic system with feedback

Automated circuit design process for generation of stability constraints for generically defined electronic system with feedback

A method is described that involves identifying a subset of operational scenarios for a circuit being designed. The family of equations are solved for the circuit over the subset and the solving produces numeric values for design parameters of the circuit. The family of equations enhanced with said numeric values are solved over a remainder of the scenarios and none of the remaining scenarios are identified as being infeasible scenarios. A design for the circuit that includes the numeric values is produced.

A method for the design and optimization of inductors for RF circuits. This method consists in the formulation of RF circuit designs as geometric programs. The designer can specify a wide variety of specifications such as gain, bandwidth, noise, etc. The method, which was implemented in simple code, determines inductor dimensions and component values in a few seconds real-time. The results was also a globally optimal design.

Growing community of inventors

Mountain View, CA, United States of America

Sunderarajan Sunderesan Mohan