The Community for Technology Leaders
RSS Icon
Subscribe
Los Angeles, CA
March 31, 2009 to April 2, 2009
ISBN: 978-0-7695-3507-4
pp: 475-479
ABSTRACT
A compact variation-aware timing model for standard cells is developed. It incorporates variations in the input waveform and loading, process parameters, and the environment into the cell timing model. PCA is used to form a compact model of a set of waveforms impacted by these sources of variation. Cell characterization involves describing how waveforms are transformed by a cell as a function of these variations. Different versions of factorial designs and Latin Hypercube sampling have been explored to model cells, and their complexity and accuracy is compared. The models have been evaluated by calculating the delay of paths. The results demonstrate improved memory in comparison with table-based static timing analysis at comparable computational cost.
INDEX TERMS
Statistical Timing Analysis, Variation Aware Timing Models, Standard Cells
CITATION
Seyed-Abdollah Aftabjahani, Linda Milor, "Timing Analysis with Compact Variation-Aware Standard Cell Models", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 475-479, doi:10.1109/CSIE.2009.968
15 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool