Corruption and Retention Simulation: Step-by-Step Walkthrough

Step-by-step analysis walkthrough

Use this sequence when owning Corruption and Retention Simulation in a low-power verification review.

1. Freeze deterministic reproducer with mode and seed metadata.

2. Trace domain, supply, and handshake sequence around first mismatch.

3. Correlate assertion failures with waveform and intent checkpoints.

4. Separate setup/config issues from true design intent violations.

5. Run one hypothesis branch at a time and record disproof evidence.

6. Apply minimal fix and validate on local and suite-level LPV runs.

Artifacts to collect

• LPV evidence packet: transition timeline, assertion outcomes, and before-after replay summary

• power-state transition log

• cross-domain boundary trace

• assertion failure bucket report

• post-fix regression closure summary

Decision memo template

LPV DECISION MEMO - Corruption and Retention Simulation
symptom:
phase:
root cause:
fix:
validation:
owners: LPV owner, PMU or firmware owner, verification signoff owner

Low-power verification deep dive

Power-aware simulation quality is measured by realistic transition behavior and actionable failure classification.

Concept diagram

POWER-AWARE SIM FLOW

UPF + RTL + testbench -> elaboration -> transition simulation -> assertions and triage

Metric graph

SIM QUALITY SIGNALS

false-fail noise      █████
actionable failures   ███████
deterministic replay  ████████

Metrics and artifacts to collect

• elaboration semantic report

• power-aware run reproducibility matrix

• corruption and clamp behavior summary

• assertion signal-to-noise trend

Mini case study

A noisy regression became actionable after bucketing failures by transition phase and boundary type before fixing checks.

Debug branches

• Start from first failing phase, not final mismatch.

• Check semantic setup consistency before declaring design bug.

• Use one reproducible scenario per hypothesis branch.

Senior review question

Ask: what exact low-power transition boundary failed first, and which artifact proves the closure claim reproducibly?

Key takeaways

• Tie each LPV claim to a concrete transition boundary and one proving artifact.

• Prefer minimal reversible fixes with explicit owner and rollback criteria.

Common pitfalls

• Treating power-aware failures as random before boundary classification.

• Waiving X-prop failures before proving impact and root cause.

• Declaring closure without deterministic replay across key modes.

Principal LPV review addendum

Corruption and Retention Simulation should be reviewed as a transition integrity system, not just isolated checks.

Use illegal transition count, corruption incidence, and reproducibility of low-power regressions across fixed seeds as alarm and LPV evidence packet: transition timeline, assertion outcomes, and before-after replay summary as proof.

Power-aware simulation quality depends on faithful domain behavior modeling and deterministic corruption semantics. Closure quality comes from reproducible evidence and explicit owners.