2010 15th Asia and South Pacific Design Automation Conference (ASP-DAC) 2010
DOI: 10.1109/aspdac.2010.5419786
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Gate delay estimation in STA under dynamic power supply noise

Abstract: This paper presents a gate delay estimation method that takes into account dynamic power supply noise. We review STA based on static IR-drop analysis and a conventional method for dynamic noise waveform, and reveal their limitations and problems that originate from circuit structures and higher delay sensitivity to voltage in advanced technologies. We then propose a gate delay computation that overcomes the problems with iterative computations and consideration of input voltage drop. Evaluation results with va… Show more

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Cited by 23 publications
(10 citation statements)
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“…Current density in a chip has been increasing due to increase in operating frequency and power consumption. Moreover, lowering supply voltage with technology scaling, over-drive voltage (V dd -V th ) is decreasing, which results in higher sensitivity of gate delay to power supply voltage [1]. On the other hand, [2] predicts that PG noise level is nearly constant despite lowering power supply voltage.…”
Section: Intriductionmentioning
confidence: 99%
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“…Current density in a chip has been increasing due to increase in operating frequency and power consumption. Moreover, lowering supply voltage with technology scaling, over-drive voltage (V dd -V th ) is decreasing, which results in higher sensitivity of gate delay to power supply voltage [1]. On the other hand, [2] predicts that PG noise level is nearly constant despite lowering power supply voltage.…”
Section: Intriductionmentioning
confidence: 99%
“…[3] classified the delay variation due to power noise into two categories and carefully calculates the equivalent DC voltage for rise/fall transition to reproduce the stage delay decrease as well as the stage delay increase. Then, [1] improved [3] to overcome inaccuracy originating from higher nonlinearity and sensitivity unique to advanced technology, and shows that the stage delay fluctuations can be estimated well within few percent errors.…”
Section: Intriductionmentioning
confidence: 99%
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