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Monte Carlo Analysis How to Specify a Distribution Function Figure 11-4 shows the common statistics for a uniform distribution ( ). Figure 11-4. Common Statistics for UNIF Distribution The common statistics for the uniform distribution are: • mean: • standard deviation: The half-range of the distribution is the value h = (U − L)/2. Therefore, for the following definition (using the Eldo native syntax, other syntaxes may also be valid): .PARAM PARAMETER_NAME=NOMINAL_VALUE {LOT|DEV|DEVX}/UNIF=HALF_RANGE_VALUE the value HALF_RANGE_VALUE, noted h in the formulae, represents the half range (see Figure 11-4), giving: or when this value h is specified as a percentage: 432 Eldo® User's Manual, 15.3
Gaussian or Normal Distribution Monte Carlo Analysis How to Specify a Distribution Function In this case the parameters are Θ = (μ, σ), with the constraint σ > 0. The probability density is given as: We note that a random variable which follows a Gaussian distribution as defined here takes real values from (−∞, ∞). The simulated values are actually truncated to some <strong>user</strong>-defined interval. This interval is defined with the SIGTAIL argument on the .MC statement. See the Remarks on the Truncated Normal Distribution. The parameter μ provides the most likely value (for which the probability density function is at its highest), and the density function is symmetric around this value; μ is also the expected value (mean) of this distribution. The parameter σ provides a measure of dispersion: the larger it is, the flatter the probability density function is (that is, values far away from μ are still likely, or in other words possible values are more spread out). The plot in Figure 11-5 depicts the common statistics of the Gaussian distribution. Figure 11-5. Percentage of Cases in Eight Portions of the Gaussian Distribution This plot may help you define the SIGTAIL argument of the .MC analysis. For example, the range [−σ, σ] represents 34.13% + 34.13% = 68.26% of cases obtained after running the sample process in the Monte Carlo algorithm, and the range [−3σ, 3σ] covers 2(34.13% + 13.59% + 2.14%) = 99.72% of the cases. Remarks on the Truncated Normal Distribution For the truncated Normal distribution, the parameters are Θ = (μ, σ, a, b), with the constraints that σ > 0, b > a. Eldo® User's Manual, 15.3 433
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Table of Contents Chapter 1 Introdu
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Table of Contents Preparing and Ins
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Table of Contents Chapter 7 Running
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Table of Contents Eldo Reduction .
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Table of Contents Chapter 12 Statis
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Table of Contents Simulating a Bloc
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Table of Contents atanh . . . . . .
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Table of Contents xmin . . . . . .
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Table of Contents COS. . . . . . .
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Table of Contents One Step Relaxati
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List of Figures Figure 1-1. Cascade
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List of Figures Figure 14-1. Mixed-
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List of Tables Table 1-1. Documenta
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Chapter 1 Introduction to Eldo The
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Introduction to Eldo Getting Starte
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Introduction to Eldo Getting Starte
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Eldo Input and Output Files Introdu
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Introduction to Eldo Eldo Documenta
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Introduction to Eldo Documentation
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Chapter 2 Running Eldo This chapter
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Running Eldo Multi-Threading Eldo S
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Running Eldo Multi-Threading Eldo S
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Running Eldo Simulation Connection
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Running Eldo Simulation Connection
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Running Eldo Eldo Initialization Fi
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Running Eldo Location Maps Location
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Running Eldo Performance Bottleneck
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Running Eldo Statistics File Statis
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Running Eldo Additional Tools and U
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Chapter 3 Eldo Premier This chapter
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Eldo Premier Overview of Eldo Premi
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Eldo Premier Automatic Activation o
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Eldo Premier Handling Matrix-Like C
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Eldo Premier Eldo Premier Output El
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Eldo Premier Forcing Elaboration Ti
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Netlist reduction is activated with
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Eldo Premier Supported Commands Tab
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Eldo Premier Supported Commands Tab
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Table 3-3. Eldo Premier—Supported
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Eldo Premier Supported Models Enabl
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o Eldo Premier Other Supported Func
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Eldo Premier Miscellaneous Limitati
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Chapter 4 Eldo Netlist Setup This c
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Eldo Netlist Setup Netlist Structur
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Subcircuit Definitions and Calls El
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Eldo Netlist Setup Simulator Comman
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Eldo Netlist Setup General Aspects
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Eldo Netlist Setup Case-Sensitivity
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Eldo Netlist Setup Numerical Values
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Eldo Netlist Setup Functions, Opera
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Function PWL_LIN(xvalue, interp, x1
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Notes Eldo Netlist Setup Arithmetic
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Eldo Netlist Setup Operators Operat
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Eldo Netlist Setup Operators Bitwis
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Eldo Netlist Setup Expressions Spec
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Eldo Netlist Setup Directives Direc
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Eldo Netlist Setup Directives Inter
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Eldo Netlist Setup Directives to Po
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Eldo Netlist Setup Working With Sub
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Eldo Netlist Setup Device Libraries
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Eldo Netlist Setup Running Multiple
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Chapter 5 Simulator Compatibility E
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Simulator Compatibility Hybrid Comp
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Simulator Compatibility Devices in
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Simulator Compatibility Devices in
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Simulator Compatibility Commands in
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Simulator Compatibility Commands in
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Simulator Compatibility Options in
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Netlist in Compat Mode Some aspects
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Simulator Compatibility Arithmetic
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Simulator Compatibility Spectre Com
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Eldo can be launched on the Spectre
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Simulator Compatibility Working wit
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Error Code Related Topics Spectre C
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Simulator Compatibility Spectre to
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spect2el Command Reference Simulato
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Simulator Compatibility spect2el Co
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Chapter 6 Setting Up An Analysis Th
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DC and Operating Point Analyses The
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Setting Up An Analysis Performing a
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Setting Up An Analysis Operating Po
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Setting Up An Analysis DC Convergen
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Setting Up An Analysis DC Convergen
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Setting Up An Analysis Saving and R
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Setting Up An Analysis Transient An
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.SAVE END in Combination with .REST
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AC Analysis Results Setting Up An A
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Loop Stability Analysis Setting Up
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Setting Up An Analysis Pole Zero An
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Setting Up An Analysis Pole Zero An
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Hand Selection Setting Up An Analys
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Setting Up An Analysis Transfer Fun
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Setting Up An Analysis Noise Analys
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Setting Up An Analysis Transient No
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Transient Noise Analysis Principles
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Figure 6-10. PSD of a Flicker Noise
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o Setting Up An Analysis Transient
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Setting Up An Analysis Statistical
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Setting Up An Analysis Worst Case A
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Setting Up An Analysis DC Mismatch
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Setting Up An Analysis DC Sensitivi
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AC Sensitivity Analysis Results Set
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Design of Experiments Analysis Resu
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Setting Up An Analysis Aging and Re
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High Impedance Node Check Setting U
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Results Setting Up An Analysis View
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Setting Up An Analysis RF Analyses
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Setting Up An Analysis RF Analyses
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Chapter 7 Running Parametric Analys
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Running Parametric Analyses Tempera
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Running Parametric Analyses Assigni
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Running Parametric Analyses .STEP S
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Running Parametric Analyses Nested
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Running Parametric Analyses .DATA P
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Running Parametric Analyses Removin
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Running Parametric Analyses Using O
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Chapter 8 Specifying Simulation Out
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Specifying Simulation Output Output
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Specifying Simulation Output Types
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Examples of Wildcard Usage in Subci
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See Also • .PLOT command in the E
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Compound Waveforms Specifying Simul
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Specifying Simulation Output Tabula
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Specifying Simulation Output Dynami
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Specifying Simulation Output Extrac
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Specifying Simulation Output Plot a
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3. Right-click on the sweep paramet
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Specifying Simulation Output Exampl
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Specifying Simulation Output Exampl
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Safe Operating Area (SOA) Checks Sp
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Specifying Simulation Output Plotti
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See Also • .CHECKSOA in the Eldo
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Specifying Simulation Output Safe O
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Specifying Simulation Output High I
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Specifying Simulation Output High I
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• .OPTION PRINT_OPTION=0 (in the
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Specifying Simulation Output Increm
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Chapter 9 Analyzing Simulation Resu
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File Extension Table 9-1. Eldo Stan
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File Extension _csdf.trX _csdf.acX
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Interpreting the Output Log (.chi)
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Analyzing Simulation Results Simula
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Analyzing Simulation Results Simula
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Analyzing Simulation Results Error
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Analyzing Simulation Results EZwave
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Related Topics EZwave Joint Wavefor
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Analyzing Simulation Results Marchi
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Analyzing Simulation Results Diagno
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Analyzing Simulation Results Non-Co
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Approximations of the CDF Monte Car
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Stopping Test for AVG Monte Carlo A
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Monte Carlo Analysis Large Scale Va
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Figure 11-21. Monte Carlo Analysis
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Monte Carlo Analysis Importance Sam
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Monte Carlo Analysis Further Exampl
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Monte Carlo Analysis Parameter Nami
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Five independent random variables w
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Monte Carlo Analysis Problems in St
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Monte Carlo Analysis Problems in St
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Figure 11-22. LIMIT Distribution wi
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Figure 11-23. Four Random Samples f
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Monte Carlo Analysis Obsolete Featu
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Chapter 12 Statistical Experimental
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Statistical Experimental Design and
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Statistical Modeling for Discrete C
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Conducting a Screening Experiment G
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Chapter 13 Optimization The purpose
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Optimization Optimization in Eldo O
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Optimization Optimization Options .
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Table 13-1. Eldo Optimization Metho
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Figure 13-2. Discretization of Desi
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Optimization Specifying Tracking wi
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Optimization Scaling Design Variabl
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Optimization Design Objectives Desi
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Scalar Design Objectives Optimizati
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Optimization Specifying Design Obje
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Notes Optimization Specifying Desig
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Optimization Eldo Optimizer/Search
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Conducting an Eldo Optimization Opt
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Smooth and Non-Smooth Problems Opti
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Optimization of Sweep Simulations O
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o o Goal Value — Goal value of th
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Chapter 14 Working with S, Y, Z Par
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Working with S, Y, Z Parameters S,
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Working with S, Y, Z Parameters Out
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Working with S, Y, Z Parameters Sim
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• Simulation of passive networks
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Working with S, Y, Z Parameters Ins
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VAR_LIST_BEGIN / VAR_LIST_END SEG_L
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Chapter 15 Aging and Reliability Si
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Chapter 16 Electrothermal Simulatio
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Chapter 17 IBIS Models Support in E
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Chapter 18 Eldo Control Language Th
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Eldo Control Language Examples Eldo
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Temporary Files Eldo Control Langua
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Debug Mode Eldo Control Language Ad
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Eldo Control Language Advanced Simu
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Eldo Control Language Advanced Simu
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Eldo Control Language Examples Usin
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Eldo Control Language .EXTRACT Alte
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Eldo Control Language .PRINTFILE Al
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Eldo Control Language .PRINTFILE Al
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Eldo Control Language .OPTIMIZE Alt
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Eldo Control Language .MPRUN with M
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Chapter 19 Post-Processing Library
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Post-Processing Library Post-Proces
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Post-Processing Library General Usa
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Post-Processing Library Macro-Like
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Post-Processing Library Working wit
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Post-Processing Library evalExpr Re
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Post-Processing Library defineVec N
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Post-Processing Library EZwave Wave
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Post-Processing Library ABS ABS Eld
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Post-Processing Library ACOSH ACOSH
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Post-Processing Library ACOTH ACOTH
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Post-Processing Library ASINH ASINH
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Post-Processing Library ATANH ATANH
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Post-Processing Library COMPRESS CO
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Post-Processing Library COSH COSH E
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Post-Processing Library COTH COTH E
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Post-Processing Library DEG DEG Eld
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Post-Processing Library DERIVE DERI
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Post-Processing Library EXP EXP Eld
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Post-Processing Library GMARGIN GMA
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Post-Processing Library IMAG IMAG E
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Post-Processing Library INTEGRAL IN
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Post-Processing Library INVDB INVDB
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Post-Processing Library LOG10 LOG10
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Post-Processing Library MAX MAX Eld
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Post-Processing Library PHASE PHASE
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Post-Processing Library RAD RAD Eld
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Post-Processing Library RELATION RE
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Post-Processing Library RMS RMS Eld
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Post-Processing Library SETTLINGTIM
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Post-Processing Library SINH SINH E
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Post-Processing Library SQRT SQRT E
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Post-Processing Library TAN TAN Eld
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Post-Processing Library TPD TPD Eld
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Post-Processing Library TPDDU TPDDU
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Post-Processing Library TPDUU TPDUU
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Post-Processing Library VMIN VMIN E
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Post-Processing Library XCOMPRESS X
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Post-Processing Library XWAVE XWAVE
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Post-Processing Library IIPX IIPX E
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Post-Processing Library Built-In DS
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Post-Processing Library CONV CONV E
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Post-Processing Library CORRELO •
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Post-Processing Library CT • fmin
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Post-Processing Library FFT • nor
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Post-Processing Library HDIST HDIST
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Post-Processing Library PERIODO PER
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Post-Processing Library PSD PSD Eld
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Post-Processing Library SAMPLER 10
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Post-Processing Library Accessing W
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Post-Processing Library DISP_FILE D
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Post-Processing Library Additional
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Post-Processing Library GETSIZE GET
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Post-Processing Library SETPOINT SE
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Chapter 20 Speed and Accuracy Eldo
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Speed and Accuracy Speed and Accura
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Speed and Accuracy Integration Meth
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Speed and Accuracy Time Step Contro
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Speed and Accuracy Time Step Contro
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Speed and Accuracy Global Tuning of
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Speed and Accuracy Global Tuning of
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Speed and Accuracy Simulation of La
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Speed and Accuracy Tips for Improvi
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Speed and Accuracy IEM Overview Whe
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Speed and Accuracy IEM Tolerance Pa
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IEM Alone (.OPTION IEM) Speed and A
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Integration Method Speed and Accura
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Chapter 21 Examples The most produc
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Examples Table 21-1. Eldo Examples
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Netlist Explanation Examples Exampl
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Examples Example 2—Transient and
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Examples Example 3—AC and Noise A
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Examples Example 3—AC and Noise A
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Figure 21-8. Low Pass Filter Exampl
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Examples Example 5—Transient Anal
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Simulation Results Examples Example
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Figure 21-15. Non-inverting Amplifi
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Examples Example 8—DC Sensitivity
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Examples Example 9—Transient and
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Examples Example 11—Loop Stabilit
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Examples Example 12—Overshoot Ext
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Summary of Eldo commands used in th
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Examples Example 16—Transient Ana
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Examples Example 17—Monte Carlo S
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Examples Example 17—Monte Carlo S
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Examples Example 18—Numerical Int
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Examples Example 19—DC Mismatch C
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Examples Example 21—Post-Layout S
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Examples Example 22—Extract Gain
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Examples Example 22—Extract Gain
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Examples Example 23—Parametric Se
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Examples Example 23—Parametric Se
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Examples Example 24—Cell Characte
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Examples Example 25—Setting up an
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Examples Example 26—Spectre Compa
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Examples Example 27—Monte Carlo A
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Examples Tutorial—Using Power Ana
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Examples Tutorial—High Impedance
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Examples Transient Noise Analysis E
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Appendix A Error and Warning Messag
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Error Number Description Table A-1.
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Error and Warning Messages Global E
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Error and Warning Messages Errors R
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Error Number Table A-4. Errors Rela
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Error and Warning Messages Miscella
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Error and Warning Messages Warning
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Error and Warning Messages Global W
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Error and Warning Messages Warnings
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Warning Number Table A-11. Warnings
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Warning Number Table A-14. Warnings
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Warnings Related to Subcircuits The
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Warning Number Table A-16. Miscella
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Warning Number Warning 1021092 Warn
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Appendix B Troubleshooting Most use
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Troubleshooting File Troubleshootin
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Appendix C Eldo Interactive Mode El
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Eldo Interactive Mode Reading Infor
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Command [.]LSMODEV LSMODPAR [.]LS
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Eldo Interactive Mode Change Featur
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Eldo Interactive Mode Change Featur
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STOP IF Eldo Interactive Mode Cont
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Appendix D Eldo Conversion Utilitie
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Eldo Conversion Utilities Utility t
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Appendix E STMicroelectronics Model
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STMicroelectronics Models What Does
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Css Css Csb Csb Csb+CJSB Cbd Cdbd C
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Index — Symbols — ! comment del
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PWL_LIN(), 111 PWR(VAL1, VAL2), 110
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32-bit and 64-bit modes, 42 An Intr
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LIMIT function, 110 Limiting Output
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DSPF backannotation, 392 Examples,
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Noise Model, 1373 Syntax Errors, 36
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Third-Party Information This sectio
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3. The name of the author may not b
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USE, DATA, OR PROFITS; OR BUSINESS
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End-User License Agreement The late
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7.1. Mentor Graphics warrants that
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