Control variates for quantile estimation
Management Science
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Practical Monte-Carlo based timing yield estimation of digital circuits
Proceedings of the Conference on Design, Automation and Test in Europe
Advanced variance reduction and sampling techniques for efficient statistical timing analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Sequential importance sampling for low-probability and high-dimensional SRAM yield analysis
Proceedings of the International Conference on Computer-Aided Design
A Study of Variance Reduction Techniques for Estimating Circuit Yields
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Transient Sensitivity Computation for MOSFET Circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Statistical analysis of analog circuits usually relies on the standard Monte Carlo method to estimate the yield of a circuit. However, this method is limited by a slow convergence rate which leads to a prohibitive number of simulations to reach a given accuracy. In this paper, we propose to combine the kernel-based distribution estimator with the control variates method in order to obtain an accurate yield estimation with only a few hundred simulations. With respect to the auxiliary variable needed for the control variates method, we propose a quick modeling technique based on local sensitivities.