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3D Integrated Circuits (ICs) have been recently proposed as a solution to the increasing wire delay concerns in scaled technologies. At the same time, technology scaling leads to increasing variability in manufacturing process parameters, making it imperative to quantify the impact of these variations on performance. In this work, we take, to the best of our knowledge, the first step towards formally...
This paper proposes a new approach to analyze crosstalk of coupled interconnects in the presence of process variations. The suggested method translates correlated process variations into orthogonal random variables by principle component analysis (PCA). combined with polynomial chaos expression (PCE), the technique utilizes Stochastic Collocation Method (SCM) to analyze the system response of coupled...
This paper studies the impact of intra-die random variability on low-power digital circuit designs, specifically, circuit timing failures due to intra-die variability. We identify a new low-Vdd statistical failure mode that is strongly supply-voltage dependent and also introduce a simple yet novel method for quantifying the effects of process variability on digital timing - a delay overlapping stage...
This paper describes a design flow for the circuit-level optimization of a technology. The concurrent exploration of device characteristics and library design choices leads to a more application-optimal technology. We illustrate the design flow by: 1) analyzing the impact of buffer cell design, and 2) by optimizing a 130 nm technology for low operational power.
We present a generic method for analyzing the effect of process variability in nanoscale circuits. The proposed framework uses kernel and a generic tail probability estimator to eliminate the need for a-priori density choice for the nature of circuit variation. This allows capturing the true nature of the circuit variation from a few random samples of its observed responses. The data-driven, non-parametric,...
The dramatic increase in leakage current, coupled with the swell in process variability in nano-scaled CMOS technologies, has become a major issue for future IC design. Moreover, due to the spread of leakage power values, leakage variability cannot be neglected anymore. In this work an accurate analytic estimation and modeling methodology has been developed for logic gates leakage under statistical...
A novel methodology for accurate and efficient static timing analysis is presented in this paper. The methodology is based on finding a frequency domain model for the gates which allows uniform treatment of the gates and interconnects. It is shown that despite the highly nonlinear overall gate model, a frequency domain model of the gate with the model parameters, gate moments, as functions of the...
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