A fully sequential procedure for indifference-zone selection in simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Anaconda: simulation-based synthesis of analog circuits via stochastic pattern search
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Proceedings of the International Conference on Computer-Aided Design
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This paper proposes the use of discrete optimization techniques for variability-aware analog circuit synthesis. Starting from an observation that the continuous design space of analog circuits can be effectively covered by a finite number of discrete points in presence of variations, new algorithms are explored to address three aspects of discrete optimization: discretizing a continuous design space, selecting candidate points on the discretized grid, and comparing the statistical measures between multiple candidate points. A digitally-controlled oscillator (DCO) example demonstrates that the proposed optimization technique can efficiently find the design that balances between the resolution, linearity, phase noise, and power dissipation.