Synthesis & Logic Optimization · All levels
PD Handoff Reports: Expanded Case Study
Expanded Case Study for PD Handoff Reports.
Extended case study
Closure review: handoff completeness, view consistency, first-route QoR deviation regressed after a change touching PD Handoff Reports.
Background
Team previously had stable baseline across weekly compile runs and agreed guardbands.
Symptoms observed
handoff completeness, view consistency, first-route QoR deviation moved beyond threshold
Mismatch between local and CI runs
Owner disagreement on first fix
Investigation timeline
Hour 0: freeze manifests and compare run metadata
Hour 1: isolate section/topic-specific failure pattern
Hour 2: verify constraints and library view consistency
Hour 3: inspect transform and mapping deltas
Hour 4: choose one reversible fix
Hour 5: execute full regression matrix
Hour 6: publish closure memo and next actions
Root cause
Root cause centered on PD Handoff Reports: Strong handoff packages constraints, scenario assumptions, and QoR baselines so PD can preserve intent and diagnose deltas quickly.
Fix and validation
Targeted synthesis tweak with audit trail
Re-run handoff manifest, baseline QoR snapshot, assumption checklist
Update dashboard and handoff notes
Lessons learned
Compare like-for-like runs only
Assign clear owner before ECO
Keep rollback ready
CASE STUDY — PD Handoff Reports
baseline / regression / recovery QoR snapshotSequence under stress
SYNTHESIS FLOW — PD Handoff Reports
RTL + constraints
|
v
elaboration + checks
|
v
mapping + optimization
|
v
QoR reports (timing/area/power)
|
v
incremental ECO + regression
Primary metric: handoff completeness, view consistency, first-route QoR deviationSynthesis deep dive
Physical-aware synthesis reduces logic-to-route surprise when correlation is monitored.
Concept diagram
PHYSICAL-AWARE LOOP
topo compile -> congestion hints -> handoff -> PD correlationMetric graph
CORRELATION DELTA
logic view WNS ███████
topo view WNS █████
route trial WNS ████Reports and artifacts
topo QoR
congestion heatmap
handoff manifest
delta compare vs PD
Mini case study
Topo compile looked clean, but hotspot congestion predicted route failure and prevented late ECO churn.
Debug branches
Check hotspot ownership
Bound correlation drift
Escalate if handoff assumptions stale
Senior review question
Ask: what evidence proves this QoR move is real and stable?
Key takeaways
State exact run context (RTL, SDC, libs, switches) with every QoR claim.
Re-run timing, area, and power regressions after each synthesis ECO.
Common pitfalls
Comparing runs with mismatched constraints or library views.
Timing-only fixes that violate power or area budgets.
Skipping equivalence checks after structural changes.
Principal synthesis review addendum
Strong handoff packages constraints, scenario assumptions, and QoR baselines so PD can preserve intent and diagnose deltas quickly.
Metric: handoff completeness, view consistency, first-route QoR deviation