What is SOCV?

Statistical OCV (SOCV) is a simplified approach to SSTA that uses a single local variable. It solves the major limitations of AOCV, including variation dependency on slew and load, and the assumption that the same cell, or load, is in the path. You compress everything into one variable and that’s your statistical OCV.”

What is POCV coefficient?

The coefficient is the value of the variation at 1 standard deviation from the nominal delay. Monte Carlo analysis is used to get the POCV coefficients. There is only one value of C for each timing arc of the cell irrespective of the input transition and output load.

What is OCV analysis?

On-chip variation (OCV) is a recognition of the intrinsic variability of semiconductor processes and their impact on factors such as logic timing. If the design passed these two tests, the chip could be considered to have met its timing constraints.

What is LVF in VLSI?

LVF is an extension to the Liberty format that adds statistical variation information to timing measurements. Nominal timing libraries contain numerous lookup tables that include timing information such as cell delays, transition times and setup and hold constraints for all cells in the library.

What is AOCV depth?

Depth is used to index the random. component of variation, and distance is used to index the systematic component in an Advanced OCV derate table, as shown in. Figure 6. The tables can be annotated on a design, library cells, or hierarchical cells, in a pre-defined prioritized order.

What is pessimism in VLSI?

The value of this pessimism, is the difference between max and min delay at the common point in the clock network. The amount of pessimism due to this effect (in this example, 0.2 ns) is called “clock reconvergence pessimism”. Clock reconvergence pessimism = (maximum clock delay) – (minimum clock delay)

What is Sigma in VLSI?

Standard Deviation (also known as Sigma or σ) determines the spread around this mean/central tendency. The more number of standard deviations between process average and acceptable process limits fits, the less likely that the process performs beyond the acceptable process limits, and it causes a defect.

What is Moment based LVF?

Moment-based LVF models non-Gaussian timing variation observed at ultra-low voltage corners. To capture more detailed timing variation distributions, moment-based LVF extensions include mean-shift, standard deviation and skewness.