Synthesis & Logic Optimization · All levels
PPA Tradeoff Playbook: Inputs & Outputs
Inputs & Outputs for PPA Tradeoff Playbook.
Inputs and outputs contract
Inputs & Outputs for PPA Tradeoff Playbook focuses on area-power-timing Pareto points, closure runtime, regression stability. The goal is to connect observed QoR movement to mechanism, ownership, and regression risk.
Synthesis closure fails when teams optimize against different assumptions. Treat these artifacts as a signed handoff contract.
INPUTS
- RTL tag and compile switches
- SDC / policy constraints
- Library and operating views
- Optional physical estimates (topo/congestion)
OUTPUTS
- QoR timing/area/power reports
- transform/mapping summaries
- owner-tagged closure memo
- regression matrix verdictFlow sequence
SYNTHESIS FLOW — PPA Tradeoff Playbook
RTL + constraints
|
v
elaboration + checks
|
v
mapping + optimization
|
v
QoR reports (timing/area/power)
|
v
incremental ECO + regression
Primary metric: area-power-timing Pareto points, closure runtime, regression stabilityOwnership map
OWNERSHIP MAP — PPA Tradeoff Playbook
artifact owner
---------------- -----------------
compile owner synthesis lead
timing/power owner program owner
cross-team review PD owner
Every QoR movement needs a named owner before ECO.Synthesis deep dive
PPA closure is a constrained tradeoff problem, not a timing-only exercise.
Concept diagram
PPA TRIAD
timing target <-> power budget <-> area capMetric graph
PARETO PROGRESSION
early runs o o
balanced point o
over-tuned o (risk)Reports and artifacts
VT mix
leakage trend
dynamic power trend
PPA Pareto table
Mini case study
LVT-heavy fix recovered setup but violated leakage target; balanced VT strategy closed both.
Debug branches
Timing-only claims need power check
Validate hold on VT swaps
Use Pareto memo
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
PPA closure is a constrained optimization problem: teams choose options by Pareto quality, not single-metric heroics.
Metric: area-power-timing Pareto points, closure runtime, regression stability