Synthesis & Logic Optimization · All levels
Datapath Debug: Reports & Metrics
Reports & Metrics for Datapath Debug.
Reports and metrics
Reports & Metrics for Datapath Debug focuses on datapath QoR regression rate, functional mismatch escapes, root-cause latency. The goal is to connect observed QoR movement to mechanism, ownership, and regression risk.
A report is useful only when it supports decisions. For Datapath Debug, read metric movement with baseline context and expected budget.
Metric movement
QOR TREND — Datapath Debug
metric quality
^
| target band
| o o o
| o
| o regression
+----------------------------------> synthesis iteration
baseline tuning signoff-ready
Track: datapath QoR regression rate, functional mismatch escapes, root-cause latencyTrack datapath QoR regression rate, functional mismatch escapes, root-cause latency with exact run manifests.
Keep timing/area/power side-by-side in review dashboards.
Require one-sentence mechanism hypothesis for every major delta.
Store before/after artifacts with owner signoff.
Synthesis deep dive
Datapath and retiming gains are only real if formal and timing remain clean.
Concept diagram
DATAPATH + RETIME
operator inference -> stage balancing -> formal proof -> QoR validationMetric graph
FREQUENCY VS LATENCY
Fmax gain ████████
latency cost ████Reports and artifacts
retiming report
datapath inference log
equivalence status
latency impact sheet
Mini case study
Retiming met frequency target, but missing formal hooks delayed closure by two days.
Debug branches
Check retime blockers
Formal first for aggressive moves
Compare with pipeline option
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.