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OCV / AOCV / POCV Mechanisms: Pitfalls & Red Flags
Pitfalls & Red Flags for OCV / AOCV / POCV Mechanisms.
Pitfalls and red flags
Pitfalls & Red Flags for OCV / AOCV / POCV Mechanisms focuses on OCV derate %, depth-adjusted pessimism, POCV sigma contribution. The goal is to connect the observable symptom to timing mechanism, ownership, and regression risk.
A path looks clean in one view but fails in signoff SPEF.
The SDC allows behavior that the implementation team assumed was illegal.
A generated_clock definition shifts capture edge silently.
Hold fails on short paths after setup-focused ECO.
The fix improves one corner but regresses another MMMC scenario.
Layer responsibility check
STA OWNERSHIP LAYERS — OCV / AOCV / POCV Mechanisms
layer owns failure mode
---------------- -------------------------- ---------------------
constraints clocks, IO, exceptions false violations
implementation cells, nets, placement real path delay
extraction SPEF/RC corners view mismatch
signoff policy derate, MMMC matrix margin disputes
closure ECO order, regression fix breaks other cornerSTA deep dive
Variation policy is negotiated margin, not a tool checkbox.
Concept diagram
VARIATION STACK
nominal delay + OCV/AOCV/POCV margin = signoff delayMetric graph
DERATE IMPACT ON WNS
OCV only WNS -120ps
AOCV WNS -45ps
POCV WNS -60ps (policy dependent)Reports and artifacts
derate table
AOCV depth report
POCV sigma
hold/setup split
Mini case study
Switched to AOCV without re-baselining hold — short paths failed min analysis.
Debug branches
Short paths for hold
Policy approval for derate changes
Senior review question
Ask: what corner/mode/view proves this topic is closed or failing?
Key takeaways
State corner, mode, view, and database tag with every slack claim.
Run setup and hold plus MMMC regression after every ECO.
Common pitfalls
Comparing STA runs with different SPEF or SDC tags.
Broad false_path to green-wash violations.
Setup-only ECO without hold check.
Principal STA review addendum
Variation models add margin for on-chip delay spread; AOCV/POCV reduce over-pessimism by accounting for path depth and statistical correlation.
Metric: OCV derate %, depth-adjusted pessimism, POCV sigma contribution