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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 Cheat Sheet
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‹Physical Design
  1. Topics
  2. Physical Design
  3. PD Flow Overview — RTL to GDSII

Physical Design · All levels

PD Flow Overview — RTL to GDSII

Synthesis through tapeout: stage owners, inputs/outputs, and what each step optimizes.

On this page

    On-call / interview prompt

    Walk me through what happens after RTL freeze until tapeout — what are the major checkpoints?

    Diagram
    CLOSURE CHAIN
    
    1. METRIC     — name the failing report line (WNS, DRV, DRC count, IR %)
    2. HYPOTHESIS — 2–3 likely causes ordered by probability
    3. EXPERIMENT — one cheap check (corner, clock, report, map)
    4. FIX        — minimal physical or constraint change
    5. REGRESSION — what you re-run and what must not regress

    Stage map

    Diagram
    STAGE          INPUTS                    OUTPUTS / METRICS
    ─────────────────────────────────────────────────────────────────
    Synthesis      RTL, SDC, libs            Netlist, area, initial WNS
    Floorplan      Netlist, DEF template     Die size, util, macro sites
    Placement      Floorplan, netlist        Legal cells, congestion map
    CTS            Placed design, SDC        Skew/latency, hold fixes
    Routing        CTS netlist               Routed design, DRV, antenna
    STA signoff    Routed, SDC, SPEF         WNS/TNS per corner/mode
    Power          Grid + activity           IR, EM reports
    PV             GDS/OASIS               DRC, LVS, density, fill
    Tapeout        Signed GDS                Mask data, documentation

    Mechanism to narrate

    • Synthesis optimizes logic before physical awareness — not final signoff timing.

    • Floorplan mistakes are expensive — utilization and macro channels drive congestion.

    • CTS inserts hold buffers — hold failures often appear after CTS, not before.

    • Routing fixes connectivity and layer usage — can degrade timing if congested.

    • Signoff is multi-corner multi-mode — one passing corner is not done.

    Checkpoint questions at each stage

    1. Synthesis: unconstrained paths? mapping to intended VT cells?

    2. Floorplan: macro halos respected? power strap pitch adequate?

    3. Placement: congestion hotspots correlated with macro channels?

    4. CTS: skew within spec? clock gating cells placed legally?

    5. Route: DRV clean? antenna rules satisfied?

    6. Signoff: all corners closed? waiver list documented?

    Related topics

    • Libraries & data handoff

    • STA basics (RTL course)

    Key takeaways

    • Know who owns each stage in your organization — PD vs CAD vs DFT.

    • Closure is iterative — expect multiple place/CTS/route loops.

    Common pitfalls

    • Treating synthesis WNS as signoff — missing SI, OCV, propagated clocks.

    • Skipping floorplan review — macro placement drives 80% of congestion pain.

    • Single-corner closure — hold fails at opposite corner late in project.

    Stage handoff details

    Every PD stage changes the validity of previous reports. Pre-route timing ignores final parasitics; pre-CTS timing ignores real clock insertion; pre-fill extraction misses fill capacitance. Treat each handoff as a new evidence checkpoint.

    Self-check

    • After CTS, rerun setup and hold; do not trust pre-CTS hold.

    • After route, re-extract; do not trust placement estimates.

    • After fill, re-check density, DRC, and critical timing.

    Principal-level review bar

    Lesson 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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    See also

    • Data and Libraries
    • Floorplanning Expanded
    • Power Planning