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A Fast Nonlinear Timing Analysis Method for Nanometer Technologies

Ruijing Shen, Xiangqing He

Open publisher page 1 citations

Abstract

Timing analysis method needs to be both accurate and efficient, especially for the submicron VLSI circuit designs. In this paper, a fast high-accuracy timing analysis method is presented. Nonlinear current-based cell delay model is utilized, which can achieve the goal of accurate nanometer timing including voltage and temperature variation. At the same time, we choose a quick reduced-order network model to keep this method efficient. Experimental results in a 90 nm technology show that the delays are accurately estimated, while the running time and memory cost is at a low level.

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What this paper is about

Timing analysis method needs to be both accurate and efficient, especially for the submicron VLSI circuit designs. In this paper, a fast high-accuracy timing analysis method is presented. Nonlinear current-based cell delay model is utilized, which can achieve the goal of accurate nanometer timing including voltage and temperature variation. At the same time, we choose a quick reduced-order network model to keep this method efficient. Experimental results in a 90 nm technology show that the delays are accurately estimated, while the running time and memory cost is at a low level.

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Available abstract

Timing analysis method needs to be both accurate and efficient, especially for the submicron VLSI circuit designs. In this paper, a fast high-accuracy timing analysis method is presented. Nonlinear current-based cell delay model is utilized, which can achieve the goal of accurate nanometer timing including voltage and temperature variation. At the same time, we choose a quick reduced-order network model to keep this method efficient. Experimental results in a 90 nm technology show that the delays are accurately estimated, while the running time and memory cost is at a low level.

Key concepts: Static timing analysis, Very-large-scale integration, Computer science, Nonlinear system, Nanometre, Electronic engineering, Network analysis, Electrical engineering

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