Model order-reduction of RC(L) interconnect including variational analysis
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
NORM: compact model order reduction of weakly nonlinear systems
Proceedings of the 40th annual Design Automation Conference
A linear fractional transform (LFT) based model for interconnect parametric uncertainty
Proceedings of the 41st annual Design Automation Conference
Static timing analysis using backward signal propagation
Proceedings of the 41st annual Design Automation Conference
Modeling Interconnect Variability Using Efficient Parametric Model Order Reduction
Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
Correlation-preserved non-gaussian statistical timing analysis with quadratic timing model
Proceedings of the 42nd annual Design Automation Conference
Electronic Circuit & System Simulation Methods (SRE)
Electronic Circuit & System Simulation Methods (SRE)
A fast symbolic computation approach to statistical analysis of mesh networks with multiple sources
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
Hi-index | 0.00 |
Shrinking feature sizes and process variations are of increasing concern in modern technology. It is urgent that we develop statistical interconnect timing models which are harmonious with the current trend in statistical timing analysis flow. Although statistical model order reduction techniques have been explored, the statistical interconnect timing model has not yet been fully analyzed. In this work, we develop a novel algorithm and its corresponding analysis for the statistical interconnect timing model, using second-order statistical variations to model the non-Gaussian distribution effects. As this model is fully congruous with current statistical static timing analysis with the canonical model and does not require any Monte Carlo simulation analysis, performance is greatly improved. Experimental results show that the proposed closed-form quadratic interconnect timing model is within 0.0046% error of the corresponding Monte Carlo simulation.