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Yield Verification
The accuracy of the yield estimate from a Monte Carlo run increases by simulating a large number of samples. However, running a large number of simulations can consume a lot of time and resources for large designs. You can perform one of the following yield verification methods to estimate the yield during the Monte Carlo analysis. These methods can be run when the target yield less than 4 sigma.
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Yield Verification - Autostop
This method is used to automatically identify the appropriate number of samples for Monte Carlo analysis to simulate based on a target yield estimate. The Monte Carlo run will stop automatically without running additional simulations as soon as it can be determined that the yield is above or below the target.
For more information about the Yield Verification - Autostop method, see Performing Yield Verification in Virtuoso ADE Explorer User Guide. -
Yield Verification - Reorder Samples
This method is available only when you have the Virtuoso Variation Option (VVO) license. To verify the yield, you require a large number of samples when the yield is above or slightly below the target. For example, when verifying a 3-sigma target with confidence value 90 percent, the run can be stopped if the first 1800 samples (approximately) pass the specification. The sample reordering method helps you verify the yield without simulating such a large number of samples.
These yield estimation methods are used only when the sigma value is equal to 3. For higher sigma values, you can use either the Scaled-Sigma Sampling (SSS) method or the Worst-Case Distance (WCD) method.
Related Topics
Workflow of the Yield Verification - Reorder Samples Method
Running the Yield Verification - Reorder Sample Method
The Scaled-Sigma Sampling Method
The Worst-Case Distance Method
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