Synthesis & Logic Optimization · All levels
Technology Mapping: Worked Example
Worked Example for Technology Mapping.
Worked example
Worked Example 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 weekly compile reports mapped cell count, path delay after mapping, library coverage gaps regression. Instead of random knob tuning, start by proving whether input context changed and which mechanism dominates.
Sequence under inspection
SYNTHESIS FLOW — Technology Mapping
RTL + constraints
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v
elaboration + checks
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v
mapping + optimization
|
v
QoR reports (timing/area/power)
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v
incremental ECO + regression
Primary metric: mapped cell count, path delay after mapping, library coverage gapsMapping from Boolean to cells
BOOLEAN NETWORK
-> cut enumeration
-> library match
-> delay/area costing
-> mapped netlistCapture baseline and regressed artifact pair.
Confirm manifest parity (RTL, SDC, libs, switches).
Pin first metric drift and mechanism hypothesis.
Reproduce with mapping report, unmapped logic log, critical path cell list.
Apply one reversible fix and run matrix regression.
Did the fix hold?
BEFORE / AFTER QOR — Technology Mapping
QoR score
0 | --- target zone
-1 | ● regression
-2 | ● baseline
-0.5| ● after fix
+----------------------------------> iteration
Validate timing + area + power, not one number.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.
Principal synthesis review addendum
Boolean network mapping selects implementation cells from libraries; mapping choices shape depth, transition behavior, and downstream routability.
Metric: mapped cell count, path delay after mapping, library coverage gaps