Static and Dynamic DAC Metrics: INL/DNL, Glitch, and SFDR: Silicon PPA Impact

Execution cost and reliability impact

Spur behavior at speed can dominate product quality despite good low-frequency transfer plots.

Throughput and efficiency impact

• integration complexity from hidden analog assumptions

• layout/package interactions that distort block-level intent

• instrumentation coverage for first-failure localization

Power and debug cost drivers

• over-margining cost when mechanisms are not classified

• repeated reruns from ambiguous evidence

• calibration overhead due to weak baseline assumptions

Schedule and triage latency impact

• time-to-first-root-cause under multi-team handoffs

• latency between hypothesis and validated fix

• mode transition stability under realistic load

Physical and packaging constraints

• supply and return-path integrity around sensitive macros

• floorplan isolation and coupling awareness

• parasitic and package model fidelity in signoff decks

Verification burden

• cross-domain replay workflows

• corner-aware metric decomposition

• artifact-driven closure gates

EXECUTION COST - Static and Dynamic DAC Metrics: INL/DNL, Glitch, and SFDR
closure speed / risk / area-power overhead

Key takeaways

• Analog closure quality is a system property, not only a circuit property.

• The fastest teams institutionalize evidence-based mixed-signal decisions.

Analog deep dive

DAC closure needs both static transfer quality and dynamic glitch/spectral discipline.

Concept diagram

DAC OUTPUT CHAIN

code mapping -> switching network -> output path -> reconstruction filter

Metric graph

DAC RISK MIX

major-carry glitches     █████
settling residuals       ████
image leakage            ███

Metrics and artifacts to collect

• INL/DNL sweep package

• glitch energy and settling trend

• SFDR/THD versus output frequency

• reconstruction filter compliance

Mini case study

Good static linearity masked dynamic spur failures driven by switching asymmetry and insufficient reconstruction margin.

Debug branches

• Tie static transfer plots to dynamic spectral outcomes.

• Inspect major-carry behavior separately from small-step transitions.

• Validate output path with realistic load and package parasitics.

Senior review question

Ask: which source-path-victim boundary failed first, and which artifact proves it reproducibly?

Key takeaways

• Tie every analog claim to one measurable metric and one proving artifact.

• Prefer minimal reversible mitigations with explicit owner and rollback criteria.

Common pitfalls

• Treating all noise as one scalar instead of path and frequency dependent behavior.

• Changing multiple analog knobs at once and losing causality.

• Declaring closure from nominal behavior without stress replay evidence.

Principal analog review addendum

Static and Dynamic DAC Metrics: INL/DNL, Glitch, and SFDR should be reviewed as an end-to-end execution problem spanning architecture, implementation, and integration.

Use DNL/INL limits, missing-code incidence, glitch impulse area at major carries, and SFDR/THD across output frequency sweep. as the trigger metric and Measurement plan connecting static sweep plots (INL/DNL) to dynamic FFT results (SFDR/THD/glitch-sensitive tones). as the proof contract.

DAC closure requires both static linearity discipline and dynamic switching-spectrum control. Durable closure comes from explicit assumptions and owner accountability.