Product Documentation
Virtuoso Variation Option User Guide
Product Version IC23.1, November 2023


Contents

1

Introduction to Virtuoso Variation Option

License Requirements

Statistical Sampling Methods

2

Mismatch Contribution Analysis

Running Mismatch Contribution Analysis

Viewing Results of Mismatch Contribution Analysis

The Mismatch Contribution Table

Toolbar of the Mismatch Contribution Tab

Exporting Mismatch Contribution Results

Running What-If Analysis

Highlighting a Device on Schematic

3

Fast Monte Carlo Method

Workflow of Fast Monte Carlo Method

Running the Fast Monte Carlo Method

Features Not Supported in the Fast Monte Carlo

4

Yield Verification

Workflow of the Yield Verification - Reorder Samples Method

Running the Yield Verification - Reorder Sample Method

5

Statistical Corner Creation

The K-Sigma Corners Method

Workflow of the K-Sigma Corners Method

Running the K-Sigma Corners Method

Creating K-Sigma Corners from a Standard Monte Carlo Run

Displaying Mean K-Sigma and Median Columns in the Yield View

The Worst Samples Method

Running the Worst Sample Method

6

The Confidence Interval - Autostop Method

Advanced Options of the Confidence Interval - Autostop Method

Outputs Supported by the Confidence Interval - Autostop Method

Running the Confidence Interval - Autostop Method

7

High Yield Estimation

The Scaled-Sigma Sampling Method

Confidence Interval and Number of Samples

Running the Scaled-Sigma Sampling Method

Yield View of the Scaled-Sigma Sampling Method

Plotting a Normal Quantile Graph for the Scaled-Sigma Sampling Method

The Worst-Case Distance Method

Running the Worst-Case Distance Method

Yield View of the Worst-Case Distance Method

Creating Statistical Corners from the Worst-Case Distance Method

8

Advanced Optimization

Advantages of Advanced Optimization

Advanced Optimizers in ADE Assembler

Example of Custom Optimization Algorithm

Integrating a Custom Optimizer into ADE Assembler

Hyperparameters of Valhalla Optimizer

Hyperparameters of Optuna Optimizer

Hyperparameters of Dakota Optimizer

Hyperparameters of Particle Swarm Optimizer

Running Advanced Optimization

9

Yield Improvement

Full Evaluation and Conditional Evaluation

Improving Yield of a Design

10

Virtuoso Variation Option Forms

Monte Carlo Form

Improve Yield Form

AOP Options Form

11

Environment Variables

confidenceAutoStopLevel
confidenceAutoStopPercentage
confidenceAutoStopSigma
digitsToShowForYieldInPercentage
enableMaxScalingFactorForSSS
maxPointsForSensitivityAccuracy
showConfidenceAutoStopLevel
showConfidenceAutoStopSigma
showMethodCIAutoStop
showMethodKSigmaCorners
showMethodScaledSigmaSampling
showMethodWorstCaseDistance
showMethodWorstSamples
showMethodYieldVerificationAutoStop
showMethodYieldVerificationReorderSamples
showOptionDistributionTypeAndScaling
sortVariablesOpt
useDoubleSidedSigma
WCCEnableNewlyCreatedCorners
yieldProbability
yieldViewKSigma

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