The main goal of writing this book was to present a methodological and algorithmic
perspective on the field-solver-based parasitic extraction of integrated circuits (ICs) …

Random-walk-based methods for solving partial differential equations (PDEs) exhibit
significant advantages and applicability to numerous domains. One of these is parasitic …

Parametric yield estimation is a critical task for design and validation of analog and mixed-
signal (AMS) circuits. However, the computational cost for yield estimation based on Monte …

This paper presents techniques that use macromodels in order to extend and improve the
floating random walk (FRW) method for capacitance extraction. A macromodel is built for …

We present an algorithm for two-and three-dimensional capacitance analysis on
multidielectric integrated circuits of arbitrary geometry. Our algorithm is stochastic in nature …

Face-to-face (F2F)-bonded 3-D ICs provide higher vertical interconnection densities and
cost-effective solutions compared to face-to-back-bonded 3-D ICs. With a bumpless direct …

The idea of macromodel was recently proposed for encrypting sensitive structures and
accelerating the floating random walk (FRW)-based capacitance extraction. In the existing …

Modern integrated circuit manufacturing processes generally require the insertion of a large
amount of metal fill in layout regions of low metal density to reduce manufacturing defects …

In this chapter, we present the basics of Monte Carlo method for solving deterministic PDE.
We first introduce more theoretic aspects of Monte Carlo method, along with random walk …

This chapter presents techniques related to the usage and consideration of macromodels
during the capacitance extraction. A macromodel is built for each substructure whose …