CDC / RDC · All levels
Reset Debug Playbook
Reset Domain Crossing: Reset bugs are often timing-sequence interactions across power, clocks, and reset domains; debug must isolate order, polarity, and release windows.
What this topic teaches
Reset Debug Playbook focuses on closing CDC/RDC risk with mechanism-level reasoning. Reset bugs are often timing-sequence interactions across power, clocks, and reset domains; debug must isolate order, polarity, and release windows. Senior signoff depends on proving behavior with targeted evidence, not just clearing tool warnings.
The senior-engineer question
When reset-related failure reproduction time, first-pass root-cause hit rate regresses, can you classify the hazard, identify accountable owners, and choose the smallest fix or waiver backed by evidence?
CDC/RDC SIGNOFF FLOW — Reset Debug Playbook
crossing inventory + reset map
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v
crossing classification (level/pulse/bus/reset)
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v
structure + protocol + reset checks
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v
critical issues + waiver review
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v
fix / validate / regress / signoffPicture the crossing behavior
Draw the behavior before touching tools. These visuals are the expected whiteboard baseline for reviews and interviews.
Reset failure timeline
t0 reset assert
t1 clock ungated
t2 reset release domain A
t3 reset release domain B
t4 first traffic
Correlate failure to exact release ordering.Crossing sequence
CROSSING FLOW — Reset Debug Playbook
source clock domain -> launch signal -> crossing structure -> destination sample
| | | |
source FF protocol sync / fifo destination FF
Key metric: reset-related failure reproduction time, first-pass root-cause hit rateOwnership layers
CDC/RDC OWNERSHIP LAYERS — Reset Debug Playbook
layer owns common failure
------------------ ----------------------------- -----------------------------
design intent crossing architecture wrong topology selected
protocol semantics req/ack, fifo, ordering liveness/deadlock bugs
reset behavior assert/deassert sequencing boot instability
analysis setup tool rules + waivers false confidence
signoff governance risk acceptance + dashboard stale critical waiversEvidence to collect
Primary metric: reset-related failure reproduction time, first-pass root-cause hit rate.
Primary artifact: boot waveform bundle, reset event timeline, root-cause memo.
Owners to involve: integration lead, verification lead, RDC owner.
At least one reproducer tied to mode/reset/traffic context.
Decision record: fix, waive, or escalate with rationale.
Ownership map
OWNERSHIP MAP — Reset Debug Playbook
artifact owner
---------------------- -------------------------
design intent integration lead
verification evidence verification lead
signoff decision RDC owner
Every open CDC/RDC issue needs one accountable owner before waiver or fix.Subpages in this topic
Each topic includes mechanism, I/O contract, metrics, debug, worked example, pitfalls, interview drills, checklist, theory, design tradeoffs, expanded case study, walkthrough, comparison matrix, software view, and silicon impact.
Key takeaways
Classify crossing/reset hazards before proposing fixes.
Pair structural results with protocol/reset behavioral proof.
Treat waivers as bounded risk contracts, not cleanup shortcuts.
Common pitfalls
Mass-waiving warnings near tapeout.
Assuming local IP cleanliness guarantees SoC behavior.
Skipping reconvergence and reset stress after CDC fixes.
CDC/RDC deep dive
Reset release ordering is a first-order reliability contract.
Concept diagram
RESET RELEASE FLOW
assert global -> clocks stable -> sync release per domain -> first transactionMetric graph
BOOT STABILITY
passes per 1k boots: 920 -> 980 -> 999Reports and artifacts
reset dependency matrix
RDC warning classes
boot stress logs
waiver aging
Mini case study
Domain B released before producer A was valid, causing rare startup deadlock.
Debug branches
Correlate reset and clock timelines
verify async assert/sync release
exercise skewed release tests
Senior review question
Ask: what evidence proves this risk is closed for silicon, not just tool-clean?
Key takeaways
State crossing class, assumptions, and owner with every issue.
Run structural and dynamic regressions after each fix.
Common pitfalls
Treating all warnings as equivalent risk.
Waiving issues without containment evidence.
Skipping reset and reconvergence stress after CDC fixes.