Estimation of Leakage Distribution Utilizing Gaussian Mixture Model

Abstract

In this paper, we propose a novel method which utilizes the Gaussian Mixture Model (GMM) to estimate the leakage distribution of a circuit. Our proposed method assumes that the leakage distribution can be represented using the GMM which can cover any continuous function. After the GMM clustering using the leakage simulation data, the leakage distribution of the input circuit can be obtained. The experimental results with the K-S test showed that the proposed method exhibited 1.82e+05 times larger p-value and 7.74e-01 times smaller K-S statistics compared to the state-of-the-art benchmark method on average.