Debug playbook

Debug Playbook for High-Speed I/O Debug focuses on BER, link retrain count, throughput under real traffic. The goal is to connect the observable symptom to protocol mechanism, ownership, and regression risk.

Protocol debug is a search for the FIRST deviation, not the loudest symptom. Timeouts and error flags are usually many cycles downstream of the real cause.

Root-cause tree

ROOT-CAUSE TREE — High-Speed I/O Debug

BER, link retrain count, throughput under real traffic looks wrong
        |
   reproducible?
     /        \
   no          yes
   |            |
 flaky env   same first transaction every time?
 / seed         /            \
              yes             no
               |               |
        protocol rule     timing/reset/PVT
        or config bug     or load-dependent

1. Freeze the failing seed, firmware tag, and spec revision.

2. Find the first bad transaction, not the loudest downstream timeout.

3. Map the transaction to signals and VIP monitor events.

4. Classify the failure: protocol rule, integration config, timing/reset, or performance pressure.

5. Prove the mechanism with one reduced sequence.

6. Patch the smallest owner-controlled boundary and rerun compliance plus workload traffic.

Review memo template

STAFF PROTOCOL REVIEW MEMO — High-Speed I/O (USB / Ethernet / MIPI) / High-Speed I/O Debug

1. Symptom
   - Watched metric: BER, link retrain count, throughput under real traffic
   - Failing interface: <master/slave/endpoint/controller/PHY>
   - Transaction identity: <ID/tag/address/endpoint/lane>
   - Repro setup: <sim/emulation/FPGA/silicon + firmware tag>

2. Mechanism hypothesis
   - Primary mechanism: debug crosses digital packet counters, PHY adaptation, board SI, firmware sequencing, and workload traffic shape.
   - Competing hypothesis: <timing, reset, bridge, ordering, firmware, or VIP issue>
   - Missing evidence: <waveform, analyzer trace, counter, spec clause, or log>

3. Proposed action
   - Minimal reversible change: <RTL, register setting, bridge config, scheduler, VIP check>
   - Expected metric movement: <delta and workload>
   - Regression risk: ordering, compatibility, performance, power, area, or timing

4. Signoff
   - Re-run artifact: link monitor log, eye/margin report, packet analyzer capture
   - Required owners: debug lead, PHY owner, system validation owner
   - Final decision: fix, waive, document limitation, or escalate to architecture

Protocol deep dive

USB/Ethernet/MIPI failures cross MAC counters, PCS framing, PHY adaptation, and channel SI.

Concept diagram

HIGH-SPEED STACK

app -> MAC/framing -> PCS/encoding -> SerDes/PHY -> channel

CRC errors often mean PCS/PHY/channel, not TCP.

Metric graph

BER vs EQ SETTING

BER
1e-3 |*
1e-6 |  *
1e-9 |     **** usable window
1e-12|          *
     +-----------------> EQ tap

Metrics and artifacts to collect

• CRC error rate

• retrain count

• frame drop

• lane error

• BER

Mini case study

Ethernet link up at 100G but lossy: equalization margin on one lane narrow after package change. Digital counters were clean; PHY margin was not.

Debug branches

• If link up but lossy, PHY margin and retrain.

• If enumeration OK but throughput low, check packet size and DMA batching.

• If MIPI frame drops, blanking budget and lane polarity.

Senior review question

Ask: what is the first transaction that deviates, and which spec rule does it test?

Key takeaways

• Connect every protocol claim to a transaction identity and measurable metric.

• Store the artifact (waveform, log, counter) next to every signoff decision.

Common pitfalls

• Debugging timeouts without finding the first bad transaction.

• Quoting peak bus width without payload efficiency and retry overhead.

• Treating VIP compliance as a substitute for system integration replay.

Principal review addendum

Re-read High-Speed I/O Debug against one concrete product workload, not a synthetic directed test.

debug crosses digital packet counters, PHY adaptation, board SI, firmware sequencing, and workload traffic shape.