DocumentCode
3501124
Title
Simultaneous statistical delay and slew optimization for interconnect pipelines
Author
Havlir, Andrew ; Pan, David Z.
Author_Institution
Dept. of ECE, Texas Univ., Austin, TX
fYear
2006
fDate
27-29 March 2006
Lastpage
178
Abstract
Process variation has become a major concern in the design of many nanometer circuits, including interconnect pipelines. This paper develops closed-form models to predict the delay distribution of an interconnect pipeline stage and the slew distributions of all the nets in the circuit. Also, a buffer sizing and replacement algorithm is presented to minimize the area of interconnect pipelines while meeting the delay and slew constraints. Experiments show that ignoring location dependent variation can cause a timing yield loss of 8.8% in a delay limited circuit, and the area can be improved by over 10% when the location dependent variation and residual random variation are understood and separated. Furthermore, under equivalent area, an interconnect pipeline optimized with only sizing changes may violate the slew constraint on over 50% of the nets, so location change is needed to best optimize these circuits
Keywords
delays; integrated circuit design; integrated circuit interconnections; integrated circuit modelling; nanoelectronics; statistical analysis; timing; buffer sizing; closed-form models; delay constraint; delay distribution; delay limited circuit; interconnect pipelines; location dependent variation; nanometer circuits; process variation; replacement algorithm; residual random variation; slew constraint; slew optimization; statistical delay; timing yield; Constraint optimization; Frequency; Integrated circuit interconnections; Large scale integration; Optimization methods; Pipelines; Predictive models; Propagation delay; Timing; Wires;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality Electronic Design, 2006. ISQED '06. 7th International Symposium on
Conference_Location
San Jose, CA
Print_ISBN
0-7695-2523-7
Type
conf
DOI
10.1109/ISQED.2006.118
Filename
1613132
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