Maximum Power Supply Noise Estimation In Vlsi Circuits Using Multimodal Genetic Algorithms

ICECS(2001)

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摘要
This paper presents a genetic algorithm (GA) based method for finding the maximum voltage drop in the power bus of digital VLSI circuits. The worst-case voltage drop at a specified node in the power bus is defined as the fitness value for different input-vector pairs. A gate-level simulator and a sparse linear solver are applied to compute the fitness value. A sharing technique is applied to find the global optima accurately and rapidly. Comparisons with input-independent simulations for Circuits extracted from layouts arc used to validate our approach.
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关键词
genetic algorithm,threshold voltage,computational modeling,power systems,space technology,genetic algorithms,power bus,very large scale integration,vlsi
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