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Course contents

  • How to Use This Course
  • PD Flow Overview — RTL to GDSII
  • Data & Libraries — What PD Receives
  • Data and Libraries49
  • Floorplanning Expanded65
  • Power Planning57
  • Placement65
  • Clock Tree Synthesis57
  • Routing65
  • Timing Closure81
  • Signal Integrity and Variation41
  • Power Signoff57
  • Physical Verification65
  • Physical Design Integration49
  • Signoff and Tapeout49
  • PD Interview Prep5
    • PD Closure Narrative Framework
    • Scenario — Floorplan Debate (45 min)
    • Scenario — Timing Closure Storm (60 min)
    • Scenario — Power & PV Before Tapeout (45 min)
    • PD Cross-Topic Interview Q&A
  • PD Closure Cheat Sheet
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‹PD Interview Prep
  1. Topics
  2. Physical Design
  3. PD Interview Prep
  4. Scenario — Floorplan Debate (45 min)

Physical Design · All levels

Scenario — Floorplan Debate (45 min)

Macro-heavy GPU SRAM block: architect wants 72% util, router predicts congestion in east channel.

On this page

    Timed scenario (45 minutes)

    Macro-heavy GPU SRAM block: architect wants 72% util, router predicts congestion in east channel.

    Timer breakdown

    1. 0–5 min: Clarify macros, pins, power budget, package aspect ratio

    2. 5–15 min: Sketch floorplan — two SRAMs, channel, power ring/stripes

    3. 15–25 min: Debate util 72% vs 65% — congestion vs die cost

    4. 25–35 min: Pin assignment and strap pitch decision

    5. 35–45 min: Floorplan signoff checklist + risks to document

    Diagram
    RUBRIC (score 1–5 each)
    
      Metric clarity — names correct report and corner
      Hypothesis quality — ordered, plausible causes
      Fix discipline — minimal change, not random tweaks
      Regression mindset — states what to re-run
    
    STRONG HIRE: METRIC → hypothesis → experiment without prompting
    NO HIRE: tweaks buffers without naming WNS/TNS corner

    Interviewer follow-up traps

    • What if SRAM pin side faces core wall?

    • IR at core edge with thin ring?

    • Parent block abutment on north edge?

    • CTS spine through macro channel?

    • Util raised — what regression metrics?

    Strong hire signals

    • States METRIC and corner before any fix

    • Orders hypotheses — does not random tweak

    • Names regression (corners/modes/tools) after fix

    • Asks clarifying questions on spec early

    No hire signals

    • Silent tool clicking narrative

    • Fix timing before route/congestion clean

    • Waive DRC/LVS to meet date unprompted

    • Cannot explain one report line

    Related topics

    • Related lesson

    Key takeaways

    • Complete scenario in 45 min wall clock.

    • Self-score rubric honestly — redo weakest segment tomorrow.

    Scenario debrief guide

    After the timer ends, do a second pass without changing your answer. Mark where you named the metric, where you formed hypotheses, and where you stated regression checks.

    Debrief prompts

    1. What was the first metric you named?

    2. Which hypothesis was cheapest to test?

    3. Which fix carried the largest regression risk?

    4. What would you escalate to a lead or architecture owner?

    Common recovery line

    Diagram
    "Before I change the design, I want to confirm the failing metric, stage, corner/mode, and whether this is a hard gate or tracked risk."

    Principal-level review bar

    Scenario pages in this course should be read like real closure review material. For a 10+ year PD engineer, the bar is not remembering terminology; it is making a release-quality decision under ambiguity.

    What excellent looks like

    • Names the failing metric, corner/mode, database tag, and analysis switches before proposing a fix.

    • Separates data, constraint, physical, tool, and methodology root causes instead of treating all failures as optimization problems.

    • Chooses experiments by information gain and reversibility, not by habit.

    • States regression blast radius across timing, route, power, PV, DFT, package, and tapeout manifest.

    • Turns recurring failures into methodology guardrails, dashboards, or checklist items.

    Closure note template

    Diagram
    STAFF / PRINCIPAL CLOSURE NOTE
    
    Context:
      stage: <pre-CTS | post-CTS | post-route | post-fill | signoff>
      tag: <database / netlist / SDC / library stack>
      failing metric: <exact report line>
      affected scope: <block / hierarchy / path group / power domain / region>
    
    Hypotheses:
      H1: <most likely physical or constraint mechanism>
      H2: <competing explanation>
      H3: <methodology or input-data issue>
    
    Decision:
      next experiment: <cheap check that can falsify H1>
      fix candidate: <minimal reversible change>
      rollback trigger: <metric that says the fix is wrong>
      regression set: <timing / route / power / PV / DFT / package>
      escalation owner: <team or reviewer>

    Tradeoffs a senior engineer must discuss

    Technical tradeoff

    Interview performance is structured closure thinking under time pressure. Explain not only the preferred fix, but what margin or schedule you are spending to get it.

    Cross-team tradeoff

    • What must RTL, synthesis, CAD, STA, DFT, package, IP, or foundry agree to before this decision is final?

    • Which artifact becomes the source of truth after the decision: report, waiver, manifest, ECO script, or methodology deck?

    • What is the cost of being wrong: one rerun, ECO churn, mask risk, performance loss, or silicon escape?

    Leadership communication

    Diagram
    "The current blocker is <metric> in <corner/mode/stage>. The leading cause is <mechanism>. I recommend <fix> because it is bounded and reversible. The regression surface is <domains>. If it fails, we escalate to <owner> with <evidence>."

    Key takeaways

    • Always connect the concept back to a measurable signoff artifact.

    • A fix is not complete until you can name the regression checks.

    Common pitfalls

    • Optimizing by habit instead of reading the current report.

    • Forgetting that a local fix can regress timing, routing, power, or PV elsewhere.

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    Next: Clock Tree Debug and Report Forensics — Inputs & Outputs

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    See also

    • PD Closure Narrative Framework
    • Scenario — Timing Closure Storm (60 min)
    • Scenario — Power & PV Before Tapeout (45 min)