Analog Design Migration Made Easy With Migration Cockpit

Analog IP remains one of the most valuable and difficult-to-scale assets in semiconductor development. As demand for IP availability across multiple foundries, process technologies, and power-performance targets grows, design teams face increasing pressure to migrate designs quickly while maintaining quality, performance, and productivity. Yet analog migration continues to be one of the most manual and time-consuming engineering activities in the design flow. The largely manual nature of schematic migration, testbench validation, optimization, and layout reimplementation created a significant bottleneck in the development process.

To address this challenge, Cadence developed a comprehensive front-to-back analog migration methodology to automate key stages of migration, improve design convergence, reduce engineering effort, and shorten overall project timelines. This approach enables design teams to reduce migration cycles from 6 to 9 months to 4 to 6 months while maintaining or improving PPA results.

A Closed-Loop Migration Strategy

The migration flow begins with source schematics, testbenches, layouts, and parasitic data, and creates a structured process that connects front-end design activities with back-end implementation.

A key objective is to leverage information from the source design, including layout parasitics, to improve optimization accuracy at the target node, reducing the number of engineering change orders (ECOs) required after layout implementation. Rather than treating schematic migration, optimization, and layout migration as separate activities, the flow creates a continuous feedback loop that drives convergence toward a centered, implementation-ready design.

The methodology consists of four major components:

• Smart schematic migration
• Automated testbench migration and validation
• Optimization with topology and parasitic awareness
• Layout migration driven by inferred design intent

Smart Functional Mapping for Faster Schematic Migration

The foundation of the migration flow is schematic migration, which creates a smart mapping file. A critical challenge when moving between process design kits (PDKs) is accurately translating devices and parameters while preserving circuit behavior.

To solve this problem, the flow automatically extracts CDF parameters from both source and target PDKs and characterizes common analog building blocks such as current mirrors and differential pairs. Electrical parameters are then compared across technologies to generate a smart functional mapping file. The result is a migrated schematic that is significantly closer to its desired operating point before optimization even begins.

Improving Verification Through Automated Testbench Migration

Migrating a schematic is only part of the challenge. Verifying that the migrated design behaves correctly across all required operating conditions is equally important. 

The migration flow includes an automated testbench migration framework built around simulation plans and verification environments. To ensure quality from the outset, compliance checkers validate relationships between simulation plans and testbenches, confirming that they are properly configured, complete, and capable of generating reliable results.

Design teams tag/identify "golden" testbenches for optimization and qualification. Testbench variables, specifications, and optimization settings are automatically migrated from the source environment to the target environment. Once migrated, source and target simulations are executed and the results compared.

The flow automatically generates comparison reports that include source and target values, specification limits, acceptable ranges, and graphical overlays of simulation results. This gives designers immediate visibility into migration quality and highlights areas requiring additional optimization.

Topology-Aware Optimization for Centered Designs

After the schematic and testbench migration, the flow enters the optimization phase.

A major innovation is the use of topology detection to automate optimizer setup. New capabilities, like classic, within Virtuoso Artist can identify common analog circuit structures, such as current mirrors and differential pairs, and automatically generate optimization parameters. These topology insights are used not only during optimization but also during the earlier functional mapping stage.

If migrated designs do not initially meet specifications, optimization parameters can be inherited from the source design. Designers retain control and can adjust mapping functions or optimization settings when additional design knowledge is required.

The flow also supports scaling optimization parameters during migration. When parameter relationships differ between source and target technologies, optimization ranges are automatically recalculated, allowing optimization within technology-appropriate boundaries.

Closing the Loop with Parasitic-Aware Optimization

One of the most innovative elements of the flow is the integration of source-layout information into front-end optimization. 

Traditionally, optimization occurs before layout information is available, often resulting in discrepancies between pre-layout and post-layout performance. To address this issue, the migration flow incorporates source parasitics into optimization.  The goal is to reduce the number of ECOs required post layout migration and achieve a converged schematic post migration.

The methodology scales interconnect parasitics according to differences between source and target PDKs and generate DSPF representations that participate directly in the optimization process. As design parameters change during optimization, the DSPF network is updated accordingly.

By introducing layout-aware behavior earlier in the process, the flow improves post-layout correlation and helps ensure that optimized schematics remain robust during physical implementation.

Automating Layout Migration

Once optimization is complete, the methodology transitions into layout migration.

Starting with the optimized target schematic and the source layout, the flow extracts placement information, constraints, routing structures, device groupings, and implementation intent from the original design. These characteristics are then used to guide the construction of the new layout.

A key capability is the use of ModGen templates generated and updated through the Analog Layout Migration (ALM) tool. As device parameters change during optimization, the associated layout ModGEn templates are automatically modified to reflect the new implementation requirements.

The migration engine also incorporates:

• Device grouping
• Placement constraints
• Routing structures
• Pin and boundary extraction
• Via and shape preservation
• Automatic template updates based on parameter changes

This enables migrating large hierarchical analog designs while dramatically reducing manual layout rework.

 Although some corrective scripting and designer oversight remain necessary, the majority of migration activities can be automated.

Migration Cockpit: Bringing It All Together

Cadence's implementation of this methodology is known internally as the migration cockpit. It combines front-end and back-end migration technologies into a unified framework that creates centered schematics, generates high-quality layouts, and leverages source parasitics and an optimization engine.

By integrating smart functional mapping, automated testbench qualification, topology-driven optimization, DSPF-based parasitic awareness, and intelligent layout migration into a single flow, the migration cockpit helps engineering teams reduce design cycle length, improve migration quality, and meet demanding PPA and KPI objectives with fewer ECO iterations.

Conclusion

As analog IP must be deployed across a growing number of foundries and process technologies, traditional migration methods can no longer scale. The answer is not a single automation feature, but a connected front-to-back migration methodology that preserves design intent, accelerates optimization, improves layout correlation, and shortens the path to design closure.

Cadence's front-to-back analog migration flow demonstrates how smart functional mapping, automated verification, topology-aware optimization, parasitic-driven design centering, and intelligent layout migration can work together to transform analog migration from a lengthy manual exercise into a structured, repeatable process focused on faster turnaround, improved PPA, and reduced ECOs.

To discover more about how AI-driven automation can reduce your project timelines by >30% and accelerate analog migration, watch the complete session delivered by Abhijit Singh, Cadence, and connect with Cadence experts to benchmark your current migration efficiency