Worked Example 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.
A weekly compile reports WNS/TNS trend, area delta, dynamic/leakage trend, compile runtime regression. Instead of random knob tuning, start by proving whether input context changed and which mechanism dominates.
SYNTHESIS FLOW — QoR Dashboard & Trend Triage
RTL + constraints
|
v
elaboration + checks
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v
mapping + optimization
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v
QoR reports (timing/area/power)
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v
incremental ECO + regression
Primary metric: WNS/TNS trend, area delta, dynamic/leakage trend, compile runtimeQOR DASHBOARD
timing lane : WNS / TNS / endpoint count
area lane : cell area / buffer %
power lane : dynamic / leakage / clock %
runtime lane: compile time / memoryCapture baseline and regressed artifact pair.
Confirm manifest parity (RTL, SDC, libs, switches).
Pin first metric drift and mechanism hypothesis.
Reproduce with QoR dashboard snapshot, baseline diff, closure memo.
Apply one reversible fix and run matrix regression.
BEFORE / AFTER QOR — QoR Dashboard & Trend Triage
QoR score
0 | --- target zone
-1 | ● regression
-2 | ● baseline
-0.5| ● after fix
+----------------------------------> iteration
Validate timing + area + power, not one number.Constraint hygiene determines whether synthesis QoR is trustworthy.
CONSTRAINT FLOW
RTL intent -> synthesis SDC -> compile checks -> QoR dashboard -> review gateQOR HEALTH
constraint lint pass ███████████████
unconstrained count ███
policy violations ██compile QoR
unconstrained endpoints
constraint lint
policy audit log
Nightly WNS improved but unconstrained paths jumped; strict SDC lint restored true QoR picture.
Diff SDC first
Audit dont_touch scope
Track unconstrained trend weekly
Ask: what evidence proves this QoR move is real and stable?
State exact run context (RTL, SDC, libs, switches) with every QoR claim.
Re-run timing, area, and power regressions after each synthesis ECO.
Comparing runs with mismatched constraints or library views.
Timing-only fixes that violate power or area budgets.
Skipping equivalence checks after structural changes.
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
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