Interview Drills for Link Training focuses on training pass rate, time-to-L0, fallback mode frequency. The goal is to connect observed symptom to boundary mechanism, ownership, and signoff risk.
PROMPT
You see training pass rate, time-to-L0, fallback mode frequency on Link Training. Walk through root cause and fix.
STRONG ANSWER
1. Names boundary and mode.
2. Explains Training protocols establish lane polarity, timing, equalization, and protocol states; digital state machines must synchronize with PHY indications and timeout policies.
3. Requests training state trace, firmware log, protocol analyzer capture.
4. Proposes one bounded fix and full regression.
WEAK ANSWER
Jumps to random tuning or tool commands without proving mechanism and ownership.detect -> poll -> config EQ -> align -> active/L0
^ |
+------------- retry/fallback -----+ROOT-CAUSE TREE — Link Training
training pass rate, time-to-L0, fallback mode frequency regressed
|
same silicon / run tags?
/ \
no yes
| |
env mismatch boundary contract or
tag mismatch true physical issue
/ \ |
clk reset isolate first failing
map sequence boundary transitionSerDes closure requires protocol, training, and SI evidence together.
SERDES FLOW
training -> equalization -> lane margin -> protocol stabilityBER VS EQ
BER
^
| high low high
+-----------------> EQ settinglane BER
training state transitions
EQ sweep report
link retry counters
Link looked protocol-clean but lane margin collapsed under thermal sweep.
Correlate LTSSM and lane metrics
Check SI margins
Review firmware timeout assumptions
Ask: what boundary condition proves this topic is actually closed?
State boundary, mode, and evidence tag with every claim.
Always align analog, digital, and physical owners before signoff decisions.
Fixing averages while tails still fail.
Skipping package/supply evidence in jitter or SerDes issues.
Shipping with waivers that lack owner and expiration criteria.
Training protocols establish lane polarity, timing, equalization, and protocol states; digital state machines must synchronize with PHY indications and timeout policies.
Metric: training pass rate, time-to-L0, fallback mode frequency
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