Synthesis & Logic Optimization · All levels
ECO Netlist Patches: Worked Example
Worked Example for ECO Netlist Patches.
Worked example
Worked Example for ECO Netlist Patches focuses on patch count, setup/hold recovery, patch-induced side effects. The goal is to connect observed QoR movement to mechanism, ownership, and regression risk.
A weekly compile reports patch count, setup/hold recovery, patch-induced side effects regression. Instead of random knob tuning, start by proving whether input context changed and which mechanism dominates.
Sequence under inspection
SYNTHESIS FLOW — ECO Netlist Patches
RTL + constraints
|
v
elaboration + checks
|
v
mapping + optimization
|
v
QoR reports (timing/area/power)
|
v
incremental ECO + regression
Primary metric: patch count, setup/hold recovery, patch-induced side effectsNetlist patch loop
failing path -> patch cell/net
-> re-run timing
-> run equivalence
-> merge or rollbackCapture baseline and regressed artifact pair.
Confirm manifest parity (RTL, SDC, libs, switches).
Pin first metric drift and mechanism hypothesis.
Reproduce with netlist diff, ECO patch log, post-patch timing report.
Apply one reversible fix and run matrix regression.
Did the fix hold?
BEFORE / AFTER QOR — ECO Netlist Patches
QoR score
0 | --- target zone
-1 | ● regression
-2 | ● baseline
-0.5| ● after fix
+----------------------------------> iteration
Validate timing + area + power, not one number.Synthesis deep dive
Incremental and ECO synthesis protect schedule only with strict regression discipline.
Concept diagram
INCREMENTAL ECO LOOP
identify delta -> localized compile -> patch -> regression -> releaseMetric graph
ECO CYCLE TIME
full compile ███████████
incremental █████Reports and artifacts
incremental reuse
ECO patch list
LEC status
regression matrix
Mini case study
Localized compile cut turnaround 40%, but skipped LEC caused rollback.
Debug branches
Reuse ratio is not enough
Patch locality check
Always include equivalence hooks
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
ECO patching edits gate-level logic for urgent fixes; patch quality depends on locality, observability, and verification closure.
Metric: patch count, setup/hold recovery, patch-induced side effects