Publication Type:

Conference Paper

Source:

Communications and Signal Processing (ICCSP), 2014 International Conference on (2014)

ISBN:

9781479933570

Accession Number:

14737304

Keywords:

Analytical models, Arrival time, Circuit simulation, computational modeling, Delays, Deterministic timing analysis, Digital integrated circuits, Gate delays, Integrated circuit modeling, integrated circuit modelling, ISCAS benchmark circuits, Logic gates, nanometer regime, operation statistical convolution integration, Probabilistic approaches, probabilistic distributions, process scaling, process variations, standard delay format file, Static timing analysis, Statistical analysis, statistical distributions, statistical static timing analysis, timing analysis methods

Abstract:

This paper presents a comparison on various timing analysis methods. Timing analysis is a critical step in any digital integrated circuits. Static timing analysis is a method to validate the timing performance of a digital circuit without requiring simulation. Technology and the process scaling to nanometer regime have lead to significant increase in process variations. These variations are needed to incorporate in static timing analysis. In the proposed method the delays of the gates and the arrival time are modeled by probabilistic distributions. The gate delays and the arrival time are modeled by using the operations statistical convolution integration and the statistical maximum. The delay values used is extracted from the standard delay format file for each gate. The method is tested by using various ISCAS benchmark circuits. Further statistical static timing analysis with arrival time at 3σ points away from the mean is calculated. The statistical static timing analysis results are found to be more accurate as it considers process variations.

Cite this Research Publication

B. P. J and Ramesh S. R., “A comparison on timing analysis using probabilistic approaches”, in Communications and Signal Processing (ICCSP), 2014 International Conference on, 2014.

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