Statistical Verification of Power Grids Considering Process-Induced Leakage Current Variations

ICCAD(2003)

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摘要
Transistor threshold voltages (V{th}) have been reduced as partof on-going technology scaling. The smaller V{th} values featureincreased variations due to underlying process variations, witha strong within-die component. Correspondingly, given the exponential dependence of leakage on V{th}, circuit leakage currentsare increasing significantly and have strong within-die statistical variations.With these leakage currents loading the powergrid, the grid develops correspondingly large statistical voltagedrops. This leakage-induced voltage drop is an unavoidable background level of noise on the grid. Any additional non-leakagecurrents due to circuit activity will lead to voltage drop which isto be added to this background noise. We propose a techniquefor checking whether the statistical voltage drop on every node iswithin user-specified bounds, given user-specified statistics of theleakage currents.
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leakage-induced voltage drop,correspondingly large statistical voltagedrops,circuit activity,process-induced leakage current variations,statistical voltage drop,circuit leakage currentsare,node iswithin user-specified bound,background noise,leakage current,strong within-die statistical variation,statistical verification,transistor threshold voltage,statistical distributions,monte carlo sampling,electric potential,process variation,statistical analysis,placement,threshold voltage
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