Synthesis & Logic Optimization · All levels
Scenario: QoR Storm: Interview Drills
Interview Drills for Scenario: QoR Storm.
Interview drills
Interview Drills for Scenario: QoR Storm focuses on overnight WNS/TNS regression with no RTL intent change. The goal is to connect observed QoR movement to mechanism, ownership, and regression risk.
PROMPT
You observe overnight WNS/TNS regression with no RTL intent change in Scenario: QoR Storm. Walk through root cause and closure plan.
STRONG ANSWER
1. Names run context and affected QoR lane.
2. Explains QoR storms test run-hygiene fundamentals: constraint diffs, library updates, and compile switches before speculative ECO.
3. Requests scenario brief, run manifest diff, triage timeline.
4. Proposes one reversible fix and full regression scope.
WEAK ANSWER
Jumps to random tool switches without mechanism evidence.Whiteboard diagram
QoR storm triage board
overnight regression
-> manifest diff
-> isolate first drift
-> reversible fixRoot-cause narration
ROOT-CAUSE TREE — Scenario: QoR Storm
overnight WNS/TNS regression with no RTL intent change regressed
|
same RTL/constraints tag?
/ \
no yes
| |
input drift transform side-effect
/ \ / \
SDC libs mapping physical estimate
diff diff choice mismatchSynthesis deep dive
Interview readiness comes from repeatable QoR reasoning under pressure.
Concept diagram
INTERVIEW ANSWER SHAPE
context -> metric -> mechanism -> fix -> regression -> ownershipMetric graph
PANEL SCORING
clarity ███████
mechanism ██████
regression █████Reports and artifacts
mock scorecard
scenario debrief
Q&A coverage
framework adherence
Mini case study
Candidate improved by replacing tool-command answers with evidence-driven closure narratives.
Debug branches
State assumptions first
Defend option tradeoffs
Close with rollback/regression
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 storms test run-hygiene fundamentals: constraint diffs, library updates, and compile switches before speculative ECO.
Metric: overnight WNS/TNS regression with no RTL intent change