Title :
SSTA with delay correlations
Author :
Wu, Zeqin ; Maurine, Philippe ; Azemard, Nadine ; Ducharme, Gilles
Author_Institution :
LIRMM, Univ. of Montpellier II, Montpellier, France
Abstract :
Estimation of delay correlations is one of the most challenging problems in SSTA. This is because cell delay depends on a number of factors in a complex manner, which makes complex the estimation of correlations as well. In this paper, we introduce a technique to compute cell-to-cell and path-to-path delay correlations, which allows considering the effects of cell-level input/output edge, input slope and output lo ad values. Numerical results are presented to quantify its accuracy.
Keywords :
delays; statistical analysis; timing; SSTA; cell-level input/output edge; cell-to-cell delay correlations; input slope; output load values; path-to-path delay correlations; statistical static timing analysis; Accuracy; Approximation methods; Computational modeling; Correlation; Delay; Monte Carlo methods;
Conference_Titel :
NEWCAS Conference (NEWCAS), 2010 8th IEEE International
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4244-6806-5
Electronic_ISBN :
978-1-4244-6804-1
DOI :
10.1109/NEWCAS.2010.5603930
