Synthesis & Logic Optimization · All levels
Scenario: QoR Storm: Expanded Case Study
Expanded Case Study for Scenario: QoR Storm.
Extended case study
Closure review: overnight WNS/TNS regression with no RTL intent change regressed after a change touching Scenario: QoR Storm.
Background
Team previously had stable baseline across weekly compile runs and agreed guardbands.
Symptoms observed
overnight WNS/TNS regression with no RTL intent change 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 Scenario: QoR Storm: QoR storms test run-hygiene fundamentals: constraint diffs, library updates, and compile switches before speculative ECO.
Fix and validation
Targeted synthesis tweak with audit trail
Re-run scenario brief, run manifest diff, triage timeline
Update dashboard and handoff notes
Lessons learned
Compare like-for-like runs only
Assign clear owner before ECO
Keep rollback ready
CASE STUDY — Scenario: QoR Storm
baseline / regression / recovery QoR snapshotSequence under stress
SYNTHESIS FLOW — Scenario: QoR Storm
RTL + constraints
|
v
elaboration + checks
|
v
mapping + optimization
|
v
QoR reports (timing/area/power)
|
v
incremental ECO + regression
Primary metric: overnight WNS/TNS regression with no RTL intent changeSynthesis 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