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Course contents

  • How to Use This Course
  • Reading Path
  • STA Glossary
  • STA Metrics Reference
  • STA Mastery Cheatsheet
  • Timing Paths and Checks16
  • Constraints & SDC Fundamentals20
  • Delay Graph & Path Analysis16
  • Beyond Setup and Hold16
  • Multi-Corner Multi-Mode Signoff16
    • Corner and Mode Matrix Design
    • Library Sets and Operating Conditions
    • Signoff vs Implementation Views
      • View Differences
      • Margin and Correlation
      • Miscorrelation Causes
      • Handoff Between Tools
    • MMMC Debug Playbook
  • OCV, AOCV, POCV and Variation16
  • Crosstalk and Noise16
  • ECO and Closure16
  • STA Debug Playbook16
  • STA Interview Prep26
  • Capstone Timing Signoff Lab4
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‹Signoff vs Implementation Views
  1. Topics
  2. Static Timing Analysis
  3. Multi-Corner Multi-Mode Signoff
  4. Signoff vs Implementation Views
  5. Handoff Between Tools

Part 5 · Multi-Corner Multi-Mode · All levels

Handoff Between Tools

When a design moves from one tool to another, the inputs that decide the numbers must be identical or the differences must be listed.

On this page

    Why it matters

    Many apparent timing differences are setup differences: a different constraint version, an older library, a changed uncertainty. A checklist and an automatic comparison turn a day of detective work into a minute.

    What must match

    Input

    Must match because

    Netlist version

    A different netlist is a different design

    Constraint files per mode

    Constraints decide which paths exist and their requirements

    Timing libraries per scenario

    They supply the delays

    Parasitics (version, corner, format)

    They supply the net delays

    Derates and uncertainty

    They change every slack

    Scenario list and names

    Reports are compared by scenario name

    example.py
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    impl = {"netlist": "r42", "constraints_func": "c17", "libs_ss": "L5", "parasitics": "spef_v3_cworst", "derate_setup": 1.05, "uncertainty": 0.05, "scenarios": 8}
    sign = {"netlist": "r42", "constraints_func": "c17", "libs_ss": "L5", "parasitics": "spef_v4_cworst", "derate_setup": 1.05, "uncertainty": 0.08, "scenarios": 8}
    diff = sorted(k for k in impl if impl[k] != sign[k])
    assert diff == ["parasitics", "uncertainty"]
    only_in = sorted(set(impl) ^ set(sign))
    assert only_in == []
    print("PASS: differences between the two setups:", diff)

    The two setups differ in two inputs: the parasitics version (v3 against v4) and the uncertainty (0.05 against 0.08 ns). Both can shift many slacks; the parasitics change may move individual paths either way, and the uncertainty change affects only paths where it is applied, so before comparing a single path the team knows why the numbers differ. Running such a comparison as part of every handoff makes the differences visible instead of discovered.

    What the review looks for

    • A handoff record lists every input with its version; a comparison against the previous record is part of the sign-off.

    • Intentional differences (a larger signoff uncertainty) are labelled intentional.

    • Unintentional differences are fixed before correlation results are interpreted.

    Common pitfall

    Investigating individual paths before comparing the setups. If the inputs differ, path-level analysis only rediscovers the same two differences hundreds of times.

    Interview

    Say that the first step in any correlation problem is to diff the inputs.

    Check yourself What would you check first if two tools disagree on every path by roughly the same amount?

    The inputs that apply to every path: uncertainty, derates, and the parasitics version or corner.

    Related topics

    • Miscorrelation Causes

    • Constraints and SDC

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    See also

    • View Differences
    • Margin and Correlation