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© Copyright AgO Inc 20111
Circuit Synthesis Optimization
www.ago-inc.comHillol.Sarkar@ago-inc.com
© Copyright AgO Inc 20112
100X Faster Simulation and Six Sigma Optimization
© Copyright AgO Inc 20113
Challenges in Analog & RF Design
Respin avoidance
• Analog circuits are responsible for ~ 50% of IC design re-spins
• Re-spins can mean missing market windows and unbudgeted costs
Achieving design specification
• Meeting or beating performance while minimising cost of implementation
• Managing greater complexity in operating and power saving modes
Maximising yield
• Validating greater numbers of process, voltage and temperature corners
• Efficiently centering design across all PVT corners using Monte Carlo
Design porting
• Moving existing circuit designs to similar technologies
• Re-centering design to meet constraints of new technology
© Copyright AgO Inc 20114
Classic Analog Design Methodology
• Design methodology has changed little over the years
• Manual, iterative design with many SPICE runs
Define topology
&
resize devices
Physical layout
& adjust
Extraction
Layout verification
Design
specification &
constraints
Spice
Spice
© Copyright AgO Inc 20115
Optimization StrategyOptimization Strategy
Description
• DC Operation
• Increase Margin
• Quick check
• Best Design Space
Description
• Single Corner
• Meet performance
• Monte Carlo
• Ready for Center
Description
• All Corners
• Rapid Size
• Ready for P&R
Description
• Conflict
• Change Priority
• System Analysis
AgO Optimization Strategy
© Copyright AgO Inc 20116
AnXplorer Goals
• Quickly size W/L a circuit in a given technology
• Explore suitability of different design options
• Robust design over PVT & Monte Carlo
• Support all types of devices
• Explore results using database
• Optimize production yield
© Copyright AgO Inc 20117
AgO Design Methodology
AnXplorer automates device sizing
Define topology
Physical layout
& adjust
Extraction
Layout verification
Design
specification &
constraints
Feasibility
Global
Centering
© Copyright AgO Inc 20118
Porting of Existing Circuits
Vendor X
Vendor Y
Common challenge
• Port existing design in technology X (say
180 nm) to technology Y (in 180 nm)
• Ensure that original design goals are met
AnXplorer approach
• Start with original sized circuit
• Define variable ranges for target circuit
• “One click” command
• Optimises and centers with new PVT
corners
Same Node
Porting
© Copyright AgO Inc 20119
Prioritized Design Objectives
• Most tools support a weight-based prioritization
for multiple objectives
– Designer is often unsure of relative weights
• AnXplorer supports hierarchical design objectives
– User defines relative priority of different objectives
• AnXplorer achieves important objectives before
optimizing others
© Copyright AgO Inc 201110
Implicit Objectives Correct by
Construction
• Imposes implicit objectives on
conditions of devices at DC
operating point
• Customizable objectives
• Detects common sub-circuits and
imposes constraints on their
operating conditions
• Ensures a robust DC operating
point
• Feature only available for MOS
devices
Examples of sub-
circuits:
• transistors in
saturation
• transistors in
linear region
• current mirrors
• level shifters
• differential pairs
• voltage reference
• current mirror
banks
• etc
© Copyright AgO Inc 201111
Core Optimization Technology
Early Optimisation tools
• Frequently relied on traditional
convex/gradient methods
• These are known to have difficulty
with multiple local minima
AnXplorer
• Based on Evolutionary algorithm
• Capable of finding global minimum in
presence of many local minima
• Successfully optimised tough tests
e.g. Rastrigin’s function
• Optional logarithmic partitioning of
design space
Supports both simulation-based
optimization & equation-based
optimization
© Copyright AgO Inc 201112
Multiple Local Minimum
© Copyright AgO Inc 201113
Trade-off Analysis
• Finds multiple design points satisfying design
objectives
• Creates exploration database for post-
optimization analysis
– Database stores all explored design points
– Query language or GUI
• Useful for trade-off analysis with conflicting
objectives
• Useful for “what-if” analysis
© Copyright AgO Inc 201114
Industry Standard Formats
AnXplorer
Design objectives
Un-sized circuit
Schematics
Sized and centered
net list
Exploration
database for
Trade off analysis
Definition of
Design variables
Compatible with existing design flows
© Copyright AgO Inc 201115
Design Environment
• Spice Simulators
Silvaco SmartSpice
Cadence Spectre
Synopsys Spice Simulators
Mentor Eldo
Multi-threading support
• Operating system
Red Hat RHEL 5
© Copyright AgO Inc 201116
Silvaco
• Accurate circuit simulation
• 100% HSPICE and SPECTRE compatible Netlists
• Single event effect reliability analysis
• A leader in run-time simulation speed
• Largest collection of Spice Models
© Copyright AgO Inc 201117
Competitive Differentiation
• One product, four optimization steps
• Robust Centering to maximize yield –Monte Carlo
• Implicit objectives for stable DC operation
• Hierarchical design objectives
• User can perform trade-off analysis
• Industry standard formats and simulators
• Core based on Evolutionary Algorithm
© Copyright AgO Inc 201118
Monte Carlo Design for Six Sigma
DFSS Company

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AgO Synthesis Inc.

  • 1. © Copyright AgO Inc 20111 Circuit Synthesis Optimization www.ago-inc.comHillol.Sarkar@ago-inc.com
  • 2. © Copyright AgO Inc 20112 100X Faster Simulation and Six Sigma Optimization
  • 3. © Copyright AgO Inc 20113 Challenges in Analog & RF Design Respin avoidance • Analog circuits are responsible for ~ 50% of IC design re-spins • Re-spins can mean missing market windows and unbudgeted costs Achieving design specification • Meeting or beating performance while minimising cost of implementation • Managing greater complexity in operating and power saving modes Maximising yield • Validating greater numbers of process, voltage and temperature corners • Efficiently centering design across all PVT corners using Monte Carlo Design porting • Moving existing circuit designs to similar technologies • Re-centering design to meet constraints of new technology
  • 4. © Copyright AgO Inc 20114 Classic Analog Design Methodology • Design methodology has changed little over the years • Manual, iterative design with many SPICE runs Define topology & resize devices Physical layout & adjust Extraction Layout verification Design specification & constraints Spice Spice
  • 5. © Copyright AgO Inc 20115 Optimization StrategyOptimization Strategy Description • DC Operation • Increase Margin • Quick check • Best Design Space Description • Single Corner • Meet performance • Monte Carlo • Ready for Center Description • All Corners • Rapid Size • Ready for P&R Description • Conflict • Change Priority • System Analysis AgO Optimization Strategy
  • 6. © Copyright AgO Inc 20116 AnXplorer Goals • Quickly size W/L a circuit in a given technology • Explore suitability of different design options • Robust design over PVT & Monte Carlo • Support all types of devices • Explore results using database • Optimize production yield
  • 7. © Copyright AgO Inc 20117 AgO Design Methodology AnXplorer automates device sizing Define topology Physical layout & adjust Extraction Layout verification Design specification & constraints Feasibility Global Centering
  • 8. © Copyright AgO Inc 20118 Porting of Existing Circuits Vendor X Vendor Y Common challenge • Port existing design in technology X (say 180 nm) to technology Y (in 180 nm) • Ensure that original design goals are met AnXplorer approach • Start with original sized circuit • Define variable ranges for target circuit • “One click” command • Optimises and centers with new PVT corners Same Node Porting
  • 9. © Copyright AgO Inc 20119 Prioritized Design Objectives • Most tools support a weight-based prioritization for multiple objectives – Designer is often unsure of relative weights • AnXplorer supports hierarchical design objectives – User defines relative priority of different objectives • AnXplorer achieves important objectives before optimizing others
  • 10. © Copyright AgO Inc 201110 Implicit Objectives Correct by Construction • Imposes implicit objectives on conditions of devices at DC operating point • Customizable objectives • Detects common sub-circuits and imposes constraints on their operating conditions • Ensures a robust DC operating point • Feature only available for MOS devices Examples of sub- circuits: • transistors in saturation • transistors in linear region • current mirrors • level shifters • differential pairs • voltage reference • current mirror banks • etc
  • 11. © Copyright AgO Inc 201111 Core Optimization Technology Early Optimisation tools • Frequently relied on traditional convex/gradient methods • These are known to have difficulty with multiple local minima AnXplorer • Based on Evolutionary algorithm • Capable of finding global minimum in presence of many local minima • Successfully optimised tough tests e.g. Rastrigin’s function • Optional logarithmic partitioning of design space Supports both simulation-based optimization & equation-based optimization
  • 12. © Copyright AgO Inc 201112 Multiple Local Minimum
  • 13. © Copyright AgO Inc 201113 Trade-off Analysis • Finds multiple design points satisfying design objectives • Creates exploration database for post- optimization analysis – Database stores all explored design points – Query language or GUI • Useful for trade-off analysis with conflicting objectives • Useful for “what-if” analysis
  • 14. © Copyright AgO Inc 201114 Industry Standard Formats AnXplorer Design objectives Un-sized circuit Schematics Sized and centered net list Exploration database for Trade off analysis Definition of Design variables Compatible with existing design flows
  • 15. © Copyright AgO Inc 201115 Design Environment • Spice Simulators Silvaco SmartSpice Cadence Spectre Synopsys Spice Simulators Mentor Eldo Multi-threading support • Operating system Red Hat RHEL 5
  • 16. © Copyright AgO Inc 201116 Silvaco • Accurate circuit simulation • 100% HSPICE and SPECTRE compatible Netlists • Single event effect reliability analysis • A leader in run-time simulation speed • Largest collection of Spice Models
  • 17. © Copyright AgO Inc 201117 Competitive Differentiation • One product, four optimization steps • Robust Centering to maximize yield –Monte Carlo • Implicit objectives for stable DC operation • Hierarchical design objectives • User can perform trade-off analysis • Industry standard formats and simulators • Core based on Evolutionary Algorithm
  • 18. © Copyright AgO Inc 201118 Monte Carlo Design for Six Sigma DFSS Company