Anova Solutions, Inc.

Meiling Wang

Jun Li

Hsien-Yen Chiu

An Integrated Circuit Design tool incorporating a Stochastic Analysis Process ('SAP') is described. The SAP can be applied on many levels of circuit components including transistor devices, logic gate devices, and System-on-Chip or chip designs. The SAP replaces the large number of traditional Monte Carlo simulations with operations using a small number of sampling points or corners. The SAP is a hierarchical approach using a model fitting process to generate a model that can be used with any number of performance metrics to generate performance variation predictions along with corresponding statistical information (e.g., mean, three-sigma probability, etc.). A hierarchical SAP process breaks an overall circuit into a plurality of subcircuits and performs circuit simulation and SAP analysis steps on each subcircuit. An integration and reduction process combines the analysis results of each subcircuit, and a final SPICE/SAP process provides a model for the overall circuit based on the subcircuits.

Hierarchical stochastic analysis process optimization for integrated circuit design and manufacture

An Integrated Circuit Design tool incorporating a Stochastic Analysis Process ('SAP') is described. The SAP can be applied on many levels of circuit components including transistor devices, logic gate devices, and System-on-Chip or chip designs. The SAP replaces a large number of traditional Monte Carlo simulations with operations using a small number of sampling points or corners. The SAP is a hierarchical approach using a model fitting process to generate a model that can be used with any number of performance memos to generate performance variation predictions along with corresponding statistical information (e.g., mean, three-sigma probability, etc.). The SAP provides an efficient way of modeling the circuit or system variation due to global parameters such as device dimensions, interconnect wiring variations, economic variations, and manufacturing variations.

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Tucson, AZ, United States of America

Meiling Wang