Top-Level Closure Dashboard: Mechanism

Mechanism to understand

Mechanism for Top-Level Closure Dashboard focuses on open critical signoff items, closure burn-down trend. The goal is to map symptoms to boundary contracts, owner actions, and regression-proof closure.

A closure dashboard unifies timing, power, DRC/LVS, CDC/RDC, and verification readiness into a decision-grade tapeout view. Think of SoC integration as layered contracts: each layer can hide failures from the next unless boundaries are explicit and testable.

• Identify the boundary where this topic is enforced.

• Identify inputs each owner controls at that boundary.

• Identify the first measurable symptom when the contract breaks.

Layered view

SOC INTEGRATION STACK — Top-Level Closure Dashboard

program contract (scope, milestones, ownership)
        |
        v
architecture contract (budgets, interfaces, assumptions)
        |
        v
implementation contract (rtl, timing, physical, package)
        |
        v
validation contract (bring-up, workload, signoff evidence)
        |
        v
release contract (manifest, waivers, tapeout decision)

Debug rule: always identify which contract layer broke first.

Closure dashboard view

CLOSURE DASHBOARD

timing:   open/closed
power:    open/closed
phys:     DRC/LVS status
CDC/RDC:  waiver state
verification: signoff status

Layer responsibilities

SOC INTEGRATION LAYERS — Top-Level Closure Dashboard

layer               owns                          failure mode
-----------------   ---------------------------   ------------------------
architecture        partition + contracts         impossible budgets
ip handoff          models + collateral           integration mismatch
fabric/clock/reset  global behavior               domain deadlock
physical/package    route + SI/PI + IO            late closure churn
signoff process     manifests + waivers           non-reproducible claims
program governance  owners + escalations          schedule collapse

SoC deep dive

Signoff confidence depends on evidence quality and reproducibility discipline.

Concept diagram

SIGNOFF DECISION FLOW
metrics -> manifest -> waivers -> executive review

Metric graph

OPEN CRITICALS OVER TIME
week1 █████████
week2 █████
week3 ██

Reports and artifacts

• closure dashboard

• signoff manifest

• waiver aging report

• TRR checklist

Mini case study

A near-tapeout risk was caught when manifest mismatch invalidated an apparently green closure report.

Debug branches

• Validate manifest integrity

• Bound waiver risk

• Audit cross-domain owner approvals

Senior review question

Ask: what baseline, owner, and artifact prove this topic is truly closed?

Key takeaways

• State baseline manifest and owner with every closure metric.

• Run cross-domain regression after every top-level fix.

Common pitfalls

• Comparing results across different manifests.

• Unowned issues slipping through review cycles.

• Waiving risks without expiry and validation plan.

Mechanism deep dive

A closure dashboard unifies timing, power, DRC/LVS, CDC/RDC, and verification readiness into a decision-grade tapeout view.