Low Power Verification · All levels
How LPV Differs from Functional Verification: Worked Example
Worked Example for How LPV Differs from Functional Verification.
Worked example
Worked Example for How LPV Differs from Functional Verification is anchored on illegal transition rate, corruption incidence, and deterministic replay quality under low-power scenarios. Convert observations into mechanism-backed and owner-bound actions.
A regression appears in illegal transition rate, corruption incidence, and deterministic replay quality under low-power scenarios. Strong closure isolates first failing boundary, proves mechanism, applies one reversible fix, and validates blast radius before release.
Execution lens
LOW-POWER VERIFICATION FLOW - How LPV Differs from Functional Verification
power intent and mode definitions
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v
domain controls and transition sequencing
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v
simulation behavior (isolation, retention, corruption)
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v
assertions and coverage evidence
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v
triage, bounded fix, and signoff closureDecision matrix
EVIDENCE MATRIX - How LPV Differs from Functional Verification
+-----------------------------+--------------------------------+--------------------------------+---------------------------+
| Evidence | Tells you | Does not prove | Next action |
+-----------------------------+--------------------------------+--------------------------------+---------------------------+
| transition timeline traces | first failing LP phase | complete root-cause ownership | correlate with intent map |
| UPF-aware assertion logs | contract violations by phase | silicon product impact | map to scenario severity |
| corruption/X classification | actionable vs noisy failures | legal transition completeness | replay key mode corners |
| save/restore snapshots | state integrity movement | isolation correctness | pair with crossing checks |
| before-after regressions | mitigation movement quality | long-tail stability | run full matrix |
+-----------------------------+--------------------------------+--------------------------------+---------------------------+Low-power verification deep dive
LPV foundations are strongest when power intent, simulation semantics, and ownership boundaries are explicit from day one.
Concept diagram
LPV FOUNDATION LOOP
intent definition -> setup and modeling -> scenario execution -> evidence-based closure
^ |
+------------------------ owner feedback ----------------------+Metric graph
FOUNDATION HEALTH
setup escapes █████
intent mismatch defects ██████
stable regressions █████████Metrics and artifacts to collect
intent-to-RTL alignment checklist
power-mode onboarding packet
ownership map for controls and checks
first-failure boundary report
Mini case study
A project reduced LPV bring-up churn after requiring explicit domain-control ownership and transition evidence in every review.
Debug branches
Prove setup correctness before chasing downstream symptoms.
Record domain ownership for each control and checker.
Distinguish intent mismatch from RTL implementation bugs.
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.
Worked-example reasoning
Start by proving phase and boundary assumptions before tuning checks.
Use one reversible change per hypothesis to preserve causality.