Low Power Verification · All levels

Debugging Retention Corruption: Design Space

Design Space for Debugging Retention Corruption.

Design space exploration

For Debugging Retention Corruption, teams balance safety, closure speed, and simulation or debug cost.

Option A - conservative

Conservative controls: helps strong safety and clarity
Risk: higher setup and runtime overhead
Validate with: new LPV program bring-up

Option B - balanced

Balanced controls: helps good closure velocity
Risk: needs disciplined review
Validate with: shared platform verification

Option C - aggressive

Aggressive optimization: helps lower overhead
Risk: higher corner-case risk
Validate with: mature flows with strong telemetry

Option D - refactor

Refactor path: helps long-term robustness
Risk: migration cost
Validate with: legacy LPV debt cleanup

diagram

DESIGN SPACE - Debugging Retention Corruption
coverage depth <-> simulation/runtime cost <-> debug clarity <-> residual risk

Design pitfalls

Optimizing runtime before proving intent-correctness boundaries.
Adding checks without ownership of closure and triage workflow.

Low-power verification deep dive

Retention closure requires proving end-to-end state lifecycle through save, off, and restore windows.

Concept diagram

diagram

RETENTION LIFECYCLE

save request -> state capture -> power off -> power on -> restore -> traffic resume

Metric graph

diagram

RETENTION STABILITY

restore mismatch       █████
save timing defects    ████
stable wake cycles     ███████

Metrics and artifacts to collect

retention save/restore timing report
pre/post state diff matrix
multi-cycle retention stress summary
state-loss bug trend by mode

Mini case study

A corruption issue persisted until retention checks compared multi-cycle state snapshots rather than single wake events.

Debug branches

Track save acknowledgement against actual state capture.
Validate restore completion before functional traffic resumes.
Run repeated sleep/wake cycles to expose drift.

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

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

Use Time-to-first-divergence localization and percentage of corruption bugs resolved with deterministic reproduction. as alarm and Corruption triage packet with first-divergence trace, root-cause taxonomy, and regression guardrail checklist. as proof.

Retention closure requires proving save, off, and restore phases as one lifecycle with explicit handshake timing. Closure quality comes from reproducible evidence and explicit owners.

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