Beta 1


Title Variability Aware Statistical Timing Modelling Using SPICE Simulations
Author Wang, Di
Supervisor Nannarelli, Alberto (Computer Science and Engineering, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Master's thesis
Year 2008
Abstract 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.
Imprint Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU : DK-2800 Kgs. Lyngby, Denmark
Series IMM-M.Sc.
Fulltext
Original PDF ep08_15.pdf (0.99 MB)
Admin Creation date: 2008-02-20    Update date: 2012-12-19    Source: dtu    ID: 211061    Original MXD