Silicon Proven | Automotive Grade | 180nm BCD

Closed-Loop Analog IP Automation – Silicon Case Study

From Simulation Analytics to Golden Sign-Off: Production Deployment in 180nm BCD Platform

Executive Summary

This case study presents a silicon-proven automation framework implemented for a 180nm BCD analog IP platform. The solution integrates simulation analytics, PyCell-driven layout regeneration, and full golden sign-off verification into a closed-loop production workflow.

Problem Statement

Objective: Establish a closed-loop automation architecture capable of reducing design closure time while maintaining automotive-grade reliability.

Technical Implementation

1. Simulation Analytics Engine

2. Parametric Layout Regeneration (PyCell)

R = Rs × (L / W) L_final = (R_target × W) / Rs × Calibration_Factor

Poly resistor width fixed at 2µm; length dynamically scaled. Layout regenerated automatically within Cadence Virtuoso.

3. Verification Integration

[Spectre Simulation] ↓ [Python Statistical Analysis] ↓ [PyCell Layout Update] ↓ [PVS DRC] ↓ [Calibre LVS/DRC] ↓ [GDSII Tape-Out]

Silicon Results

Measured silicon data confirmed simulation correlation within statistical tolerance, validating the automation framework in production environment.

Engineering Impact