Synthesis & Logic Optimization · All levels
Technology Mapping: Reports & Metrics
Reports & Metrics for Technology Mapping.
Reports and metrics
Reports & Metrics for Technology Mapping focuses on mapped cell count, path delay after mapping, library coverage gaps. The goal is to connect observed QoR movement to mechanism, ownership, and regression risk.
A report is useful only when it supports decisions. For Technology Mapping, read metric movement with baseline context and expected budget.
Metric movement
QOR TREND — Technology Mapping
metric quality
^
| target band
| o o o
| o
| o regression
+----------------------------------> synthesis iteration
baseline tuning signoff-ready
Track: mapped cell count, path delay after mapping, library coverage gapsTrack mapped cell count, path delay after mapping, library coverage gaps 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
Mapping converts logic intent into real PPA outcomes.
Concept diagram
MAPPING LOOP
boolean net -> library mapping -> optimization -> report and iterateMetric graph
MAPPING IMPACT
depth reduction ███████
fanout cleanup █████
runtime overhead ███Reports and artifacts
mapping summary
critical path cell list
fanout/slew report
library coverage
Mini case study
Cell-heavy critical path improved after restructuring, while blanket buffering had worsened power.
Debug branches
Depth issue -> structure
Fanout issue -> buffers
Library mismatch -> view audit
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.