Analog Circuit

Optimization

Time Study

Case Study

Hillol.Sarkar@ago-inc.com

Hillol Sarkar

Worry never fixes anything.

Ernest Hemingway

21st Century Analog World

FGS Technology

Full Genome Sequencing is used for Cancer treatment : Not a Trial & Error Method

Algorithm

AnXplorer Design Flow

Advance Generation Optimization

 

CMOS Amplifier Monte Carlo Optimization

Transistors 147

Test Benches 4

Corners per Test Bench 7

Design Objectives 63

Total 63 Objectives Total 28  Corners

Performance Maximum Yield

Time 4 CPU 3.3 GHz 12 Hours 

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MaxYieldMaxYield

Hillol.Sarkar@ago-inc.com

Advance Generation Optimization

  

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100X Productivity Improvement

Hillol.Sarkar@ago-inc.com

Steps Time

Tool Setup 2 Hours 30 Minutes

Feasibility 1 Hour 30 Minutes

Global Opt 4 Hours 10 Minutes

Centering 3 Hours 40 Minutes

Advance Generation OptimizationDesign Flow

  

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Strategy

DefineCorners

VariableRange

DefineVariable

SetupTest Benches

SetupCorners

SetupMC

Define Objectives

DefineMC Analysis

DefinePriorities

30 m

15 m

15 m

30 m

15 m

Feasibility

GlobalOptimization

Centering

1H 20 m

4H 10 m

3H 40 m

5 m

15 m

30 m

3 m

10 m

H= Hoursm = MinutesMC Monte Carlo

Design Preparation & Tool Setup Optimization Run Time

AgO Optimization Result – Electrical Characteristics

OutputCorners

MC (sigma)6 Sigma

All result Spec100%

Nominal FF SS FS SF TT TT MIN MIN MAX MIN MAX

A 75.98 77.53 75.41 75.9 75.83 76.44 75.3 75.300 77.530 60 passB 3.77E+01 6.03E+01 2.48E+01 3.57E+01 3.96E+01 3.72E+01 3.84E+01 24.750 60.260 5 passC 65.16 60.15 65.7 65.59 65.09 64.97 64.95 60.150 65.700 60 passD -34.4 -33.94 -33.84 -35.7 -33.02 -35.81 -32.92 -35.810 -32.920 -5 passE -34.4 -33.94 -33.84 -35.7 -33.02 -35.81 -32.92 -35.810 -32.920 -5 passF -29.13 -31.51 -25.4 -29.17 -29.08 -29.86 -28.13 -31.510 -25.400 -3 passG -29.13 -31.51 -25.4 -29.17 -29.08 -29.86 -28.13 -31.510 -25.400 -3 passH -29.13 -31.51 -25.4 -29.17 -29.08 -29.86 -28.13 -31.510 -25.400 -3 passI -29.13 -31.51 -25.4 -29.17 -29.08 -29.86 -28.13 -31.510 -25.400 -3 passJ 0.00 6.33 -11.07 2.51 -4.55 -0.20 -3.56 -11.070 6.325 -50 50 passK 0.00 2.94 -11.32 0.43 -6.65 -2.11 -5.94 -11.320 2.943 -50 50 passL 0.00 2.59 -12.11 0.62 -7.47 -2.23 -6.69 -12.110 2.587 -50 50 passM 0.01 21.85 -8.63 18.76 -3.40 13.73 -2.05 -8.634 21.850 -50 50 passN -0.01 1.05 -12.38 -0.49 -8.44 -3.25 -7.77 -12.380 1.050 -50 50 passO -0.01 -0.12 -11.73 -1.62 -8.65 -4.00 -8.17 -11.730 -0.006 -50 50 passP 0.00 0.97 -12.24 -0.41 -8.46 -3.20 -7.79 -12.240 0.970 -50 50 passQ 0.00 19.86 -8.52 17.75 -4.23 12.58 -2.78 -8.521 19.860 -50 50 passR 0.00 0.90 -12.13 -0.46 -8.40 -3.22 -7.73 -12.130 0.898 -50 50 passS 0.00 6.33 -11.07 2.51 -4.55 -0.20 -3.56 -11.070 6.325 -50 50 passT 0.00 2.94 -11.32 0.43 -6.65 -2.11 -5.94 -11.320 2.943 -50 50 passU 0.00 2.73 -11.93 0.79 -7.29 -2.07 -6.50 -11.930 2.732 -50 50 passV 0.01 22.22 -8.17 19.20 -2.95 14.14 -1.56 -8.173 22.220 -50 50 passW 0.00 1.42 -11.91 -0.05 -7.99 -2.84 -7.28 -11.910 1.418 -50 50 passX -0.01 0.18 -11.35 -1.26 -8.29 -3.67 -7.79 -11.350 0.176 -50 50 passY 0.00 1.12 -12.04 -0.23 -8.28 -3.03 -7.59 -12.040 1.118 -50 50 passZ 0.00 19.78 -8.60 17.66 -4.32 12.50 -2.88 -8.603 19.780 -50 50 pass

A1 -0.01 0.82 -12.22 -0.55 -8.49 -3.30 -7.83 -12.220 0.821 -50 50 passB1 1.494 1.5 1.488 1.498 1.491 1.496 1.492 7.01E-03 1.467 1.521 1.45 1.55 passC1 1.494 1.5 1.488 1.498 1.491 1.496 1.492 6.90E-03 1.467 1.521 1.45 1.55 passD1 0 0 0 0 0 0 0 7.21E-03 -0.022 0.022 -25 -25 passE1 1.50E+00 1.89E+00 1.15E+00 1.41E+00 1.59E+00 1.38E+00 1.67E+00 1.58E-02 1.106 1.935 4 passF1 3.72E-01 3.72E-01 3.72E-01 3.72E-01 3.72E-01 3.72E-01 3.72E-01 2.04E-04 0.371 0.373 1 pass

Amplifier Optimized Circuit : ADE-XL confirmation results

A350 XWB

Smart Grid

California

Car Automation

Ethernet

GPS

Electric

Analog Music

Home Automation

Wireless

Appliances

Robot

Medical Device

NGS

Brain

Heart

Wireless Health Care

Analog Circuit

Optimization

Optimized 28 Corners in 12 Hrs

Production Worthy Design

Amplifier Case Study

Hillol.Sarkar@ago-inc.com

Hillol Sarkar