Congestion-Aware Optimization: Debug Playbook

Debug playbook

Debug Playbook for Congestion-Aware Optimization focuses on congestion score, buffered-net density, timing impact in hotspots. The goal is to connect observed QoR movement to mechanism, ownership, and regression risk.

Synthesis debug finds the first causal drift, not the loudest downstream symptom.

Root-cause tree

ROOT-CAUSE TREE — Congestion-Aware Optimization

congestion score, buffered-net density, timing impact in hotspots regressed
        |
   same RTL/constraints tag?
     /              \
   no                yes
   |                  |
input drift      transform side-effect
 /    \             /         \
SDC    libs      mapping      physical estimate
diff   diff      choice       mismatch

1. Freeze baseline and regressed run manifests.

2. Verify RTL/SDC/library deltas before transform tuning.

3. Classify issue: constraints, mapping choice, physical estimate, or ECO side effect.

4. Pick one minimal reversible change.

5. Re-run full timing/area/power checks with ownership signoff.

Review memo template

STAFF SYNTHESIS REVIEW MEMO — Physical-Aware Synthesis / Congestion-Aware Optimization

1. Symptom
   - Watched metric: congestion score, buffered-net density, timing impact in hotspots
   - Affected compile run: <tag/build ID>
   - Impacted path/class: <critical group / power lane / area lane>
   - Database tags: <RTL, SDC, libs, switches>

2. Mechanism hypothesis
   - Primary mechanism: Congestion-aware optimization avoids local over-buffering and harmful mapping in dense regions to protect downstream route closure.
   - Competing hypothesis: <constraint drift, mapping choice, physical estimate mismatch>
   - Missing evidence: <report diff, dashboard trend, ownership board>

3. Proposed action
   - Minimal reversible change: <constraint patch, compile knob, ECO cell move>
   - Expected movement: <timing / area / power delta>
   - Regression risk: hold, power spike, leakage drift, formal mismatch

4. Signoff
   - Re-run artifact: congestion heatmap, buffer density report, hotspot timing report
   - Required owners: PD owner, synthesis owner
   - Final decision: merge, rollback, or escalate

Synthesis 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 correlation

Metric 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

Congestion-aware optimization avoids local over-buffering and harmful mapping in dense regions to protect downstream route closure.

Metric: congestion score, buffered-net density, timing impact in hotspots