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DAC
2005
ACM
14 years 8 months ago
Correlation-preserved non-gaussian statistical timing analysis with quadratic timing model
Recent study shows that the existing first order canonical timing model is not sufficient to represent the dependency of the gate delay on the variation sources when processing an...
Lizheng Zhang, Weijen Chen, Yuhen Hu, John A. Gubn...
DAC
2006
ACM
13 years 11 months ago
Refined statistical static timing analysis through
Statistical static timing analysis (SSTA) has been a popular research topic in recent years. A fundamental issue with applying SSTA in practice today is the lack of reliable and e...
Benjamin N. Lee, Li-C. Wang, Magdy S. Abadir
ASPDAC
2008
ACM
169views Hardware» more  ASPDAC 2008»
13 years 9 months ago
Analytical model for the impact of multiple input switching noise on timing
The timing models used in current Static Timing Analysis tools use gate delays only for single input switching events. It is well known that the temporal proximity of signals arriv...
Rajeshwary Tayade, Sani R. Nassif, Jacob A. Abraha...
FPGA
2007
ACM
142views FPGA» more  FPGA 2007»
14 years 1 months ago
Parametric yield in FPGAs due to within-die delay variations: a quantitative analysis
Variations in the semiconductor fabrication process results in variability in parameters between transistors on the same die, a problem exacerbated by lithographic scaling. The re...
N. Pete Sedcole, Peter Y. K. Cheung
ICCAD
2008
IEEE
125views Hardware» more  ICCAD 2008»
14 years 4 months ago
Practical, fast Monte Carlo statistical static timing analysis: why and how
Statistical static timing analysis (SSTA) has emerged as an essential tool for nanoscale designs. Monte Carlo methods are universally employed to validate the accuracy of the appr...
Amith Singhee, Sonia Singhal, Rob A. Rutenbar