First International Symposium on Quality of Electronic Design Realistic Worst-Case Modeling by Performance Level Principal Component Analysis San Jose, California March 20-March 22 ISBN: 0-7695-0525-2
A new algorithm to determine the number and value of realistic worst-case models for the performance of module library components is presented in this paper. The proposed algorithm employs Principal Components Analysis (PCA) at the performance level to identify the main independent sources of variance for the performance of a set of library modules.Response Surfaces Methodology (RSM) and Propagation Of Variance (POV) based algorithms are used to efficiently compute the performance level covariance matrix and non-linear maximum likelihood optimization to trace back worst case models at the SPICE level. The effectiveness of the proposed methodology has been demonstrated by determining a realistic set of worst case models for a 0.25mm CMOS standard cell library.
Citation:
Alessandra Nardi, Andrea Neviani, Carlo Guardiani, "Realistic Worst-Case Modeling by Performance Level Principal Component Analysis," isqed, pp.455, First International Symposium on Quality of Electronic Design, 2000 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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