Synthesis & Logic Optimization · All levels
QoR Dashboard & Trend Triage: Interview Drills
Interview Drills for QoR Dashboard & Trend Triage.
Interview drills
Interview Drills for QoR Dashboard & Trend Triage focuses on WNS/TNS trend, area delta, dynamic/leakage trend, compile runtime. The goal is to connect observed QoR movement to mechanism, ownership, and regression risk.
PROMPT
You observe WNS/TNS trend, area delta, dynamic/leakage trend, compile runtime in QoR Dashboard & Trend Triage. Walk through root cause and closure plan.
STRONG ANSWER
1. Names run context and affected QoR lane.
2. Explains QoR closure is a trend-management problem: dashboard baselines catch regressions early and keep optimization decisions tied to measurable outcomes.
3. Requests QoR dashboard snapshot, baseline diff, closure memo.
4. Proposes one reversible fix and full regression scope.
WEAK ANSWER
Jumps to random tool switches without mechanism evidence.Whiteboard diagram
QoR dashboard lanes
QOR DASHBOARD
timing lane : WNS / TNS / endpoint count
area lane : cell area / buffer %
power lane : dynamic / leakage / clock %
runtime lane: compile time / memoryRoot-cause narration
ROOT-CAUSE TREE — QoR Dashboard & Trend Triage
WNS/TNS trend, area delta, dynamic/leakage trend, compile runtime regressed
|
same RTL/constraints tag?
/ \
no yes
| |
input drift transform side-effect
/ \ / \
SDC libs mapping physical estimate
diff diff choice mismatchSynthesis deep dive
Constraint hygiene determines whether synthesis QoR is trustworthy.
Concept diagram
CONSTRAINT FLOW
RTL intent -> synthesis SDC -> compile checks -> QoR dashboard -> review gateMetric graph
QOR HEALTH
constraint lint pass ███████████████
unconstrained count ███
policy violations ██Reports and artifacts
compile QoR
unconstrained endpoints
constraint lint
policy audit log
Mini case study
Nightly WNS improved but unconstrained paths jumped; strict SDC lint restored true QoR picture.
Debug branches
Diff SDC first
Audit dont_touch scope
Track unconstrained trend weekly
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
QoR closure is a trend-management problem: dashboard baselines catch regressions early and keep optimization decisions tied to measurable outcomes.
Metric: WNS/TNS trend, area delta, dynamic/leakage trend, compile runtime