Coverage Across Multiple Power Domains: Mechanism

Mechanism to understand

Mechanism for Coverage Across Multiple Power Domains is anchored on Risk-weighted coverage closure for domain-state cross products, inter-domain transition pairs, and wakeup cause by mode combinations.. Convert observations into mechanism-backed and owner-bound actions.

Single-domain closure is insufficient once domains interact through shared clocks, buses, memory, and always-on control planes; coverage must capture cross-domain state combinations and transition interleavings that expose dependency bugs. Practical coverage models avoid combinational explosion by grouping states into risk classes (fully-on, retention, collapsed, transitional) and prioritizing high-impact intersections such as producer-off/consumer-on, shared-memory retention mismatches, and staggered wakeups across coherency participants. Each bin should tie to an observable correctness objective: no X-propagation into active logic, no stale data after restore, no orphaned transaction during domain collapse, and no interrupt loss across wake sequences. Signoff quality comes from merging simulation, emulation, and formal evidence into one closure view so unhit bins are triaged by silicon risk rather than waived on raw percentage pressure.

• Name first boundary where expected transition behavior diverges.

• Prove mechanism with one high-confidence evidence packet.

• Assign owner for smallest reversible mitigation.

Execution flow

LOW-POWER VERIFICATION FLOW - Coverage Across Multiple Power Domains

power intent and mode definitions
      |
      v
domain controls and transition sequencing
      |
      v
simulation behavior (isolation, retention, corruption)
      |
      v
assertions and coverage evidence
      |
      v
triage, bounded fix, and signoff closure

Low-power verification deep dive

Power-state correctness is a protocol contract: legal transitions, robust sequencing, and safe concurrent event handling.

Concept diagram

PST CONTROL LOOP

state request -> legality check -> handshake sequencing -> mode entry -> monitored exit

Metric graph

STATE RISK MIX

illegal transitions     ██████
sequence race bugs      █████
stable mode paths       ████████

Metrics and artifacts to collect

• PST legality matrix

• illegal transition histogram

• entry/exit handshake coverage

• mode sequencing anomaly log

Mini case study

A sporadic low-power failure closed only after proving a wake-versus-thermal race in PMU transition sequencing.

Debug branches

• Validate legal state graph first.

• Stress concurrent control events and asynchronous wakeups.

• Bind fixes to explicit transition and owner contracts.

Senior review question

Ask: what exact low-power transition boundary failed first, and which artifact proves the closure claim reproducibly?

Key takeaways

• Tie each LPV claim to a concrete transition boundary and one proving artifact.

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

Common pitfalls

• Treating power-aware failures as random before boundary classification.

• Waiving X-prop failures before proving impact and root cause.

• Declaring closure without deterministic replay across key modes.

Mechanism deep dive

Mechanism detail: Single-domain closure is insufficient once domains interact through shared clocks, buses, memory, and always-on control planes; coverage must capture cross-domain state combinations and transition interleavings that expose dependency bugs. Practical coverage models avoid combinational explosion by grouping states into risk classes (fully-on, retention, collapsed, transitional) and prioritizing high-impact intersections such as producer-off/consumer-on, shared-memory retention mismatches, and staggered wakeups across coherency participants. Each bin should tie to an observable correctness objective: no X-propagation into active logic, no stale data after restore, no orphaned transaction during domain collapse, and no interrupt loss across wake sequences. Signoff quality comes from merging simulation, emulation, and formal evidence into one closure view so unhit bins are triaged by silicon risk rather than waived on raw percentage pressure.

Strong explanations tie transition semantics directly to observed failures.