Synthesis tools for mixed-signal ICs: progress on frontend and backend strategies
DAC '96 Proceedings of the 33rd annual Design Automation Conference
RF microelectronics
Optimization of inductor circuits via geometric programming
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Proceedings of the 39th annual Design Automation Conference
Remembrance of circuits past: macromodeling by data mining in large analog design spaces
Proceedings of the 39th annual Design Automation Conference
Exploring regular fabrics to optimize the performance-cost trade-off
Proceedings of the 40th annual Design Automation Conference
Convex Optimization
Generalized Posynomial Performance Modeling
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Optimal design of a CMOS op-amp via geometric programming
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Geometric programming for circuit optimization
Proceedings of the 2005 international symposium on Physical design
Digital Circuit Optimization via Geometric Programming
Operations Research
Statistical performance modeling and optimization
Foundations and Trends in Electronic Design Automation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Long design cycles due to the inability to predict silicon realities is a well-known problem that plagues analog/RF integrated circuit product development. As this problem worsens for technologies below 100nm, the high cost of design and multiple manufacturing spins causes fewer products to have the volume required to support full custom implementation. Design reuse and analog synthesis make analog/RF design more affordable; however, the increasing process variability and lack of modeling accuracy remains extremely challenging for nanoscale analog/RF design. We propose an analog/RF circuit design methodology ORACLE, which is a combination of reuse and \emph{shared-use by formulating the synthesis problem as an \emph{optimization with recourse problem. Using a two-stage geometric programming with recourse approach, ORACLE solves for both the globally optimal shared and application-specific variables. Concurrently, we demonstrate ORACLE for novel metal-mask configurable designs, where a range of applications share common underlying structure and application-specific customization is performed using the metal-mask layers. We also include the silicon validation of the metal-mask configurable designs.