Formal Verification · All levels
Combinational LEC: Key-Point Matching and Structural Normalization: Design Space
Design Space for Combinational LEC: Key-Point Matching and Structural Normalization.
Design space exploration
For Combinational LEC: Key-Point Matching and Structural Normalization, teams balance model realism, convergence, and signoff risk.
Option A - conservative
Conservative modeling: helps high soundness
Risk: slower closure
Validate with: high-risk interfaces
Option B - balanced
Balanced setup: helps good throughput
Risk: needs strict review
Validate with: daily CI operations
Option C - aggressive
Aggressive abstraction: helps runtime reduction
Risk: higher misuse risk
Validate with: expert-owned proof clusters
Option D - refactor
Refactor properties: helps better debug isolation
Risk: initial migration cost
Validate with: stalled convergence buckets
DESIGN SPACE - Combinational LEC: Key-Point Matching and Structural Normalization
model realism <-> convergence speed <-> debug clarity <-> signoff confidenceDesign pitfalls
Trading away legal behavior for runtime without documenting risk.
Combining abstraction and assumption changes in one uncontrolled step.
Formal deep dive
Equivalence confidence comes from transformation-aware setup and rapid first-divergence diagnosis.
Concept diagram
EQUIVALENCE WORKFLOW
golden and revised design -> mapping and alignment -> mismatch triage -> closure evidenceMetric graph
LEC/SEC DEBUG SIGNALS
setup mismatches █████
real behavioral deltas ███
resolved divergences ███████Metrics and artifacts to collect
compare-point match quality
SEC latency-alignment success
RTL-to-gate variant coverage
ECO mismatch root-cause aging
Mini case study
A late ECO mismatch was traced to clock-gating setup, then closed with repeatable SEC alignment rules.
Debug branches
Classify mismatch source before editing waiver sets.
Use SEC when latency movement is intentional.
Replay first divergence in simulation for cross-validation.
Senior review question
Ask: which requirement intent is proven, under which assumptions, and what residual risk remains?
Key takeaways
Tie each proof claim to assumption boundaries and reachability evidence.
Prefer minimal reversible fixes and preserve legal behavior visibility.
Common pitfalls
Treating runtime reduction as proof-quality improvement without audits.
Declaring closure while critical covers remain unreachable.
Using broad waivers instead of first-divergence root-cause ownership.
Principal formal review addendum
Combinational LEC: Key-Point Matching and Structural Normalization should be reviewed as a requirement-evidence workflow, not a single status report.
Use non-vacuous closure rate, counterexample turnaround time, and requirement-level residual risk trend as the monitoring lens and formal closure packet: assumptions audit, proof status matrix, counterexample classification, and requirement traceability as closure proof.
Equivalence closure quality depends on transformation-aware setup and first-divergence debug discipline. Strong teams preserve legal reachability while improving convergence.