DocumentCode :
500949
Title :
Worst-case aggressor-victim alignment with current-source driver models
Author :
Gandikota, Ravikishore ; Ding, Li ; Tehrani, Peivand ; Blaauw, David
Author_Institution :
Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2009
fDate :
26-31 July 2009
Firstpage :
13
Lastpage :
18
Abstract :
Crosstalk delay-noise which occurs due to the simultaneous transitions of victim and aggressor drivers is very sensitive to their mutual alignment. Hence, during static noise analysis, it is crucial to identify the worst-case victim-aggressor alignment which results in the maximum delay-noise. Although several approaches have been proposed to obtain the worst-case aggressor alignment, most of them compute only the worst-case stage delay of the victim. However, in reality it is essential to compute the worst-case combined delay of victim stage and victim receiver gate. We propose a heuristic approach to compute the worst-case aggressor alignment which maximizes the victim receiver output arrival time. In this work, we use a novel cumulative gate overdrive voltage (CGOV ) metric to model the victim receiver output transition. HSPICE simulations, performed on industrial nets to validate the proposed methodology, show an average error of 1.7% in delay-noise when compared to the worst-case alignment obtained by an exhaustive sweeping.
Keywords :
crosstalk; driver circuits; integrated circuit design; HSPICE simulations; crosstalk delay-noise; cumulative gate overdrive voltage metric; current-source driver models; maximum delay-noise; static noise analysis; worst-case aggressor-victim alignment; Capacitance; Crosstalk; Delay effects; Delay estimation; Integrated circuit interconnections; Integrated circuit noise; Performance analysis; Permission; Timing; Voltage; CSM; Crosstalk; delay noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2009. DAC '09. 46th ACM/IEEE
Conference_Location :
San Francisco, CA
ISSN :
0738-100X
Print_ISBN :
978-1-6055-8497-3
Type :
conf
Filename :
5227208
Link To Document :
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