||Variability Aware Statistical Timing Modelling Using SPICE Simulations
||Nannarelli, Alberto (Computer Science and Engineering, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
||Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
||As technology scaling enters into nanometer geometries, there is a significant increase
in performance uncertainty of SoC designs due to parametric variations. Variability is posing an increasing challenge in timing analysis for designers. The traditional corner-based approach is not effective anymore and it will induce pessimism.
Therefore, statistical timing analysis has become very important in overcoming the
weakness of the traditional methods. By constructing statistical timing models for
variations, chip performance and parametric yield will be more accurately predicted.
In this thesis, variability aware statistical timing models of standard cells and system
level interconnects are going to be developed by using SPICE simulations.
||Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU : DK-2800 Kgs. Lyngby, Denmark
Creation date: 2008-02-20
Update date: 2012-12-19