DocumentCode
3142544
Title
A Statistical Model for Net Length Estimation
Author
Suen, Lai-Chering
Author_Institution
Bell Laboratories, Naperville, IL
fYear
1981
fDate
29-1 June 1981
Firstpage
769
Lastpage
774
Abstract
The prerouting estimation of net length is very important to the physical design since the estimated length can be employed as a figure-of-merit of the placement process, as an evaluation of the placement result, and in the calculation of capacitance in the predictive timing analysis. The traditional methods, bounded rectangle method, minimal spanning tree method and minimal Steiner tree method, result in either poor estimation or time consuming processing. Moreover, they do not consider the interference between each net and the technology influence. A statistical model for net length estimation has been developed to overcome these deficiencies. This model provides an unbiased estimate with 7 percent relative root-mean-squares error on an average.
Keywords
Capacitance; Circuits; Costs; Design automation; Estimation error; Interference; NP-complete problem; Reactive power; Routing; Timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation, 1981. 18th Conference on
Type
conf
DOI
10.1109/DAC.1981.1585444
Filename
1585444
Link To Document