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Derate Policy & Approval: Theory Deep Dive

Theory Deep Dive for Derate Policy & Approval.

Foundational theory

Derate Policy & Approval is central to OCV, AOCV, POCV & Variation. Derating policy is a contractual margin between implementation and signoff; changes need documented approval and regression. Senior STA engineers always tie slack movement to corner, mode, constraint set, and parasitic view โ€” not just a single report line.

Core concepts explained

  • Derating policy is a contractual margin between implementation and signoff; changes need documented approval and regression.

  • Primary metric: approved derate set, waiver count, signoff pessimism budget

  • Primary artifact: derate approval memo, signoff policy PDF, before/after WNS comparison

  • Owners: STA lead, PD director, foundry signoff

  • Setup: max delay path; Hold: min delay path

  • WNS/TNS summarize tail risk across endpoints

Why this matters at signoff

At signoff, Derate Policy & Approval failures block tapeout or force risky ECO. Variation models translate process spread into timing margin. Wrong analysis setup wastes weeks of PD effort.

Mental model

diagram
DERATE CHANGE REQUEST
  -> STA lead review
  -> PD director sign
  -> foundry policy check
  -> re-run full MMMC matrix
  -> archive before/after WNS

Worked intuition

  1. Name corner, mode, and view for the failing run.

  2. Open approved derate set, waiver count, signoff pessimism budget and identify worst path group.

  3. Read critical path: cell vs net, launch/capture clocks.

  4. Check constraints on that path (exceptions, generated clocks).

  5. Collect derate approval memo, signoff policy PDF, before/after WNS comparison and tag database versions.

  6. Classify: constraint bug, view mismatch, or real path.

  7. Propose minimal ECO and list MMMC+SI regression.

Common misconceptions

  • One typical corner is enough for signoff.

  • False paths can be applied broadly to green-wash violations.

  • Implementation WNS equals signoff WNS without view mapping.

  • Setup fix automatically preserves hold.

Visual reinforcement

Derate approval flow

diagram
DERATE CHANGE REQUEST
  -> STA lead review
  -> PD director sign
  -> foundry policy check
  -> re-run full MMMC matrix
  -> archive before/after WNS

Layer responsibilities

diagram
STA OWNERSHIP LAYERS โ€” Derate Policy & Approval

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 corner

STA deep dive

Variation policy is negotiated margin, not a tool checkbox.

Concept diagram

diagram
VARIATION STACK

nominal delay + OCV/AOCV/POCV margin = signoff delay

Metric graph

diagram
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 โ€” 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.

Theory reinforcement

Variation models translate process spread into timing margin.