An efficient control variates method for yield estimation of analog circuits based on a local model

  • Authors:
  • Pierre-Francois Desrumaux;Yoan Dupret;Jens Tingleff;Sean Minehane;Mark Redford;Laurent Latorre;Pascal Nouet

  • Affiliations:
  • CSR, Sophia Antipolis, France and LIRMM, Montpellier, France;CSR, Sophia Antipolis, France;CSR, Sophia Antipolis, France;CSR, Cambridge, UK;CSR, Cambridge, UK;LIRMM, Montpellier, France;LIRMM, Montpellier, France

  • Venue:
  • Proceedings of the International Conference on Computer-Aided Design
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.