Eldo Platform Advanced Statistical Analysis. Student Workbook

Transcription

1 Student Workbook 2017 Mentor Graphics Corporation All rights reserved. This document contains information that is trade secret and proprietary to Mentor Graphics Corporation or its licensors and is subject to license terms. No part of this document may be photocopied, reproduced, translated, distributed, disclosed or provided to third parties without the prior written consent of Mentor Graphics.

2 This document is for information and instruction purposes. Mentor Graphics reserves the right to make changes in specifications and other information contained in this publication without prior notice, and the reader should, in all cases, consult Mentor Graphics to determine whether any changes have been made. The terms and conditions governing the sale and licensing of Mentor Graphics products are set forth in written agreements between Mentor Graphics and its customers. No representation or other affirmation of fact contained in this publication shall be deemed to be a warranty or give rise to any liability of Mentor Graphics whatsoever. MENTOR GRAPHICS MAKES NO WARRANTY OF ANY KIND WITH REGARD TO THIS MATERIAL INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. MENTOR GRAPHICS SHALL NOT BE LIABLE FOR ANY INCIDENTAL, INDIRECT, SPECIAL, OR CONSEQUENTIAL DAMAGES WHATSOEVER (INCLUDING BUT NOT LIMITED TO LOST PROFITS) ARISING OUT OF OR RELATED TO THIS PUBLICATION OR THE INFORMATION CONTAINED IN IT, EVEN IF MENTOR GRAPHICS HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. U.S. GOVERNMENT LICENSE RIGHTS: The software and documentation were developed entirely at private expense and are commercial computer software and commercial computer software documentation within the meaning of the applicable acquisition regulations. Accordingly, pursuant to FAR 48 CFR and DFARS 48 CFR , use, duplication and disclosure by or for the U.S. Government or a U.S. Government subcontractor is subject solely to the terms and conditions set forth in the license agreement provided with the software, except for provisions which are contrary to applicable mandatory federal laws. TRADEMARKS: The trademarks, logos and service marks ("Marks") used herein are the property of Mentor Graphics Corporation or other parties. No one is permitted to use these Marks without the prior written consent of Mentor Graphics or the owner of the Mark, as applicable. The use herein of a third- party Mark is not an attempt to indicate Mentor Graphics as a source of a product, but is intended to indicate a product from, or associated with, a particular third party. A current list of Mentor Graphics trademarks may be viewed at: End-User License Agreement: You can print a copy of the End-User License Agreement from: Mentor Graphics Corporation 8005 S.W. Boeckman Road, Wilsonville, Oregon Telephone: Toll-Free Telephone: Website: SupportNet: supportnet.mentor.com/ Send Feedback on Documentation: supportnet.mentor.com/doc_feedback_form Part Number:

3 Module 1: Introduction to Eldo Objectives Design New Challenges Due to Nanometer Effects Simulation New Challenges Eldo Platform Industry Proven Circuit Verification Platform for Analog-Centric ICs Impractical Without Eldo Platform Quality & Reliability Verification Tools Environment Integrations Course Objectives Module 2: Standard Monte Carlo Objectives Need for Statistical Simulations Monte Carlo Simulation Principles Simple Monte Carlo Example PDF and CDF Curves Available Automatically Default Histogram Presentation Histogram Number of Bins EZwave Histogram Annotations & Stat Legend Sensitivity Objectives Cumulative Distribution Function (CDF) Probability Distribution Function PDF The Mean The Variance The Standard Deviation I

4 Skewness Definition Kurtosis Definition Objectives DEV/LOT Correlation Definition of Parameters Variation With.MODEL Classical Distribution Types User Defined Distribution New Pearson Distribution Monte Carlo Parameter Defined in Pearson Distribution Model Parameter Defined With.MODEL and.mcmod Monte Carlo Parameter Defined With.PARAM DEV and DEVX Correlation Coefficient Between Parameters CORREL PARAM Example MC Sampling Parameters Objectives CDF and PDF of Standard Normal Distribution From Standard Normal to Normal Is Normality Propagated in a Circuit? Example Monte Carlo Netlist Example Log Normal Distribution Example Log() of the Current Conclusion for Log-Normal Distribution Estimation Problem Central Limit Theorem (CLT) Sample Mean: Convergence Type and Rate II

5 How Accurate is One Result? Lab Time Summary Module 3: Statistical Analyses Objectives Experimental Verification Real Meaning of Confidence Probability and Confidence Interval A bit of Theory Confidence Interval Concept Some General Remarks Relative Accuracy versus Sigma/Mean Confidence Interval Accuracy Practical Implementation: AVG Confidence Technique Objectives Complex Case: Variance New Distribution Is Needed The??? Distribution Chi Squared Table Normal Case Example Practical Implementation: STD Confidence Technique Summary Objectives Random Numbers Generator New Statistical Dataflow ASCII Outputs III

6 Overview of Statistical Output Files First Part of the.mcm File Mean and Standard Deviation Coverage Interval Confidence Interval Objectives Historical Extract Functions More Recent Extract Functions AMS16.1 Extract Functions Syntax Specifics Accurate Extract for Standard Deviation Lower/Upper Specification ICARLO and NBCARLO Specifications Monte Carlo Index Monte Carlo Helpful Options Help to Solve Errors in Extract Statements Failure Probability using MCPROB Example of MCPROB Definition Lab Time Summary Module 4: Advanced Monte Carlo Techniques Objectives How Many MC Runs? Incremental Monte Carlo IV

7 Display Evolution of Monte Carlo Run Incremental Monte Carlo Syntax Save/Restart Mechanism Save/Restart Example Objectives Monte Carlo Convergence Monitoring Settling Algorithm Concept Run_Length Control Settling Example Complete Settling Syntax Settling Algorithm Tuning Objectives Confidence Example Complete Confidence Syntax Confidence Algorithm Tuning Results on the Provided Example Confidence Algorithm Concept Lab Time Summary Module 5: Rare Event Objectives Probability of Failure : Objective Check the Setup Basic Syntax V

8 Simple Example Why Is it so Fast? Tail Value Sweep Design Parameter Sweep Reduce the CPU Time Combine Both Sweep Compute a Confidence Interval Run Only the Most Likely Failing Configuration Non-Convergence Problems HOMOTOPY Relaxing the Accuracy Limitations Objectives Purpose of Importance Sampling Monte Carlo (ISMC) MC SAMPLING=ISMC Monte Carlo Acceleration for Rare Events MC SAMPLING=ISMC Syntax and Parameters ISMC Results Solving ISMC Convergence Issues for Large Problems Monte Carlo Acceleration for Rare Events (ISMC) Guidelines When Choosing ISMC Lab Time MGC Examples Summary VI

9 Module 6: Specific Monte Carlo Acceleration Objectives Monte Carlo Sampling Methods Purpose of Super Saturated Design (SSD) Three Distinct Steps Modeling Accuracy Compromise Between Accuracy and CPU Time Example of Advanced Usage EXTRACT MCCONV_SSD Guidelines When Choosing SSD Sampling: SSD versus RAND MC SAMPLING=SSD Summary Objectives Sampling Plan for Standard Monte Carlo Purpose of Latin Hypercube Sampling (LHS) Two Dimensions Case X and Y Dimension LHS Final Coverage LHS Is Not Worst/Extreme Case Not Even Close LHS Example using monte_carlo_sensitivity.cir LHS and Sensitivity with Lars Algorithm (Sens=3) MC SAMPLING=LHS Summary Guidelines: When To Choose LHS? Monte Carlo Flow VII

10 Lab Time MGC Examples Summary Module 7: Conclusion Objectives Eldo Platform Summary Release Conventions What About the Next Releases? Mentor Graphics Support Documentation Search Results Example Stemming Support Appendix A: Models Objectives Model Libraries Introduction Model Library Syntax MOS Model Binning More and More Effects are Included Model File Selection Library Overview INCLUDE Command INCLUDE and Monte Carlo Simple Definition With.LIB Library Definition With.LIB KEY VIII

11 Delete Library With.DEL Basic Library Encryption Advanced Library Encryption IP Protection for the Foundry IP Protection for the User Objectives Using Behavioral Verilog-A Models Within Eldo Use of a Verilog-A Model in a Netlist Example: Verilog-A Model in a Netlist Hierarchical Verilog-A Model Example Verilog-A Model Example Generic and Param Usage Compilation Case of Compiled Library Not in the Current Directory CommLib QuickStart Verilog-A HDL Command for VerilogA as X-Statements Objectives Spectre Compatibility Working with Multiple Languages Objectives EldoD_sp Generalities EldoD_sp Procedure EldoD_sp Outputs Objectives HSPICE Compatibility IX

12 HSPICE Compatibility Mode Hybrid Compat Mode Device Models Compatibility Objectives Introduction Library/Cell/View Basics More on Views CDF Concepts CDF : Description of SimInfo Fields CDF as an ASCII File Access to Conversion Tools Simple Conversion Complex Conversion Conversion Tool Overview Importance of the Cell Type Conversion Flow Appendix B: EZwave Objectives Basic EZwave Features Advanced EZwave Capabilities EZwave Elements of the Interface Joint Waveform Database (JWDB) wdb and.swd Files Invoking EZwave X

13 EZwave Integration in Artist Link How to Start EZwave in Artist Link Documentation Color Scheme Memory & Disk Space Shortage Detection EZwave Memory Management Improvement (AMS15.1) Module Objectives Toolbar Mouse Strokes The Find Capability for Plotted Waveforms Find Button Waveform List EZwave Additional Tools EZwave Video Tutorials Module Objectives Pick-Point Tool New in AMS13.2 Release Pick-Point Mode Pick Points Capabilities Pick Points Default Settings Pick Points Specific Behavior Module Objectives Measurement Tool Plotting All the Waveforms with the Same Name Tandem Mode Example Tandem Mode vs Iterative Simulation Module Objectives XI

14 Waveform Calculator Using the Waveform Calculator Module Objectives Waveform Compare Tool Waveform Compare Wizard Comparison Method Selection Viewing Waveform Comparison Results Algorithm X_min, x_max, y_min, y_max Tolerance Area Tolerance Tube Module Objectives Performing Power in EZwave Power Window Running the Power Table Module Objectives File > Save Menu Tcl File Example Getting Help XII