PPA optimization engine for semiconductor teams
Diagnose weak paths, explain tradeoffs, rank bounded fixes, and prove before/after QoR while engineers keep final control.
The product line is built around the final stretch before tape-out: parse the design, explain the path, recommend PPA fixes, prove the QoR delta, and preserve the engineer's decision boundary.
Weak paths, fanout pressure, leakage risk, and area tradeoffs are ranked with source-traceable evidence instead of flattened into a generic prompt.
The agent explains blast radius, proposes reviewable RTL atoms, and waits at approval gates before touching customer design files.
Parses Verilog and HDL into searchable modules, ports, dependencies, and signal relationships before any agent recommends a change.
Traces failing behavior through RTL context, highlights suspect logic, and keeps waveforms, assertions, and root-cause paths in view.
Every stage reduces ambiguity. The engine turns scattered EDA artifacts into a ranked, reviewable, and re-verified optimization path while the engineering team keeps control.
RTL or netlist, Liberty, SDC, constraints, timing reports, synthesis outputs, and activity assumptions stay mapped to the engineer's environment.
The engine builds a baseline, traces failing endpoints, highlights path contributors, and separates evidence-backed data from planning-grade estimates.
RTL Arena recommends timing, power, and area fixes with expected QoR direction, risk, affected RTL scope, and required verification checks.
Accepted fixes are re-profiled into before/after QoR views so CTOs see effort, tradeoff, evidence grade, and remaining tape-out risk.
RTL Arena is pre-signoff PPA exploration and ECO avoidance. PrimeTime, Tempus, OpenSTA, Voltus, and physical implementation remain the sources of final signoff truth.
Guided mode is default. Automated edits require explicit approval, guardrails, and rollback metadata.
The page separates evidence-backed indicators from planning-grade estimates until signoff artifacts exist.
No. RTL Arena sits beside the existing flow and reduces manual optimization burden.
The trust order is diagnose, explain, recommend, compare, then change only after approval.
The target is not a magic number. It is a contained pilot where the evidence, assumptions, and deferred risks are visible.
WNS -0.18 ns -> +0.04 ns
Mock targetVoltage-aware optimization target
Planning-gradeReduce footprint without timing regression
Needs reviewEDA runs avoided on target block
Mock targetPerformance-first teams where every Fmax recovery and closure iteration affects the product promise.
Teams balancing performance with battery, thermals, leakage, and area pressure across constrained designs.
Mature organizations where expensive engineers and EDA cycles need a sharper ranked backlog.
Review-heavy flows where explainability, evidence boundaries, and controlled change are non-negotiable.
Day one is intentionally contained: baseline, ranked candidates, guided review, re-verification, report, and clear deferred items.