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Module 46 min

Signoff

Signoff timing closes all active modes and corners on extracted parasitics with validated constraints.

◉ Banzs Tip

Closure is achieved across the scenario matrix, not by fixing only the single worst path shown first.

Buffering a high-fanout net can improve transition and delay, but added cells and routes must be checked in every hold corner.

Static Timing Analysis flow

Follow each stage in sequence. Every stage produces information needed by the next.

Signoff—visualized

This technical view uses the actual structures and relationships associated with this stage, followed by its key terms.

Understand every concept

01

MMMC analysis

What it is: MMMC analysis is a core concept within Signoff. It describes the information, structure, or analysis engineers use at this stage of the Static Timing Analysis flow.

Why it matters: Understanding it helps you interpret the stage correctly, avoid incorrect assumptions, and connect the result to the next implementation or signoff step.

Where it fits: This topic belongs to module 4, Signoff, and its output supports the stages that follow.

Practical example: Engineer workflow: Run MMMC analysis and summarize failing path groups. Buffering a high-fanout net can improve transition and delay, but added cells and routes must be checked in every hold corner.

02

Path-based analysis

What it is: Path-based analysis is a core concept within Signoff. It describes the information, structure, or analysis engineers use at this stage of the Static Timing Analysis flow.

Why it matters: Understanding it helps you interpret the stage correctly, avoid incorrect assumptions, and connect the result to the next implementation or signoff step.

Where it fits: This topic belongs to module 4, Signoff, and its output supports the stages that follow.

Practical example: Engineer workflow: Classify constraint, clock, cell, net, crosstalk, or logic causes. Buffering a high-fanout net can improve transition and delay, but added cells and routes must be checked in every hold corner.

03

Timing ECO strategy

What it is: Timing ECO strategy is a core concept within Signoff. It describes the information, structure, or analysis engineers use at this stage of the Static Timing Analysis flow.

Why it matters: Understanding it helps you interpret the stage correctly, avoid incorrect assumptions, and connect the result to the next implementation or signoff step.

Where it fits: This topic belongs to module 4, Signoff, and its output supports the stages that follow.

Practical example: Engineer workflow: Choose an ECO that fixes root cause with minimal side effects. Buffering a high-fanout net can improve transition and delay, but added cells and routes must be checked in every hold corner.

Work through it step by step

  1. 1

    MMMC analysis

    Run MMMC analysis and summarize failing path groups.

  2. 2

    Path-based analysis

    Classify constraint, clock, cell, net, crosstalk, or logic causes.

  3. 3

    Timing ECO strategy

    Choose an ECO that fixes root cause with minimal side effects.

  4. 4

    MMMC analysis

    Re-extract, rerun all scenarios, and verify no regressions.

Explore each topic

01

MMMC analysis

Understand the concept, connect it to the ASIC flow, study the report or behavior it produces, and apply it in a guided exercise. Check the result against the module goal before moving forward.

02

Path-based analysis

Understand the concept, connect it to the ASIC flow, study the report or behavior it produces, and apply it in a guided exercise. Check the result against the module goal before moving forward.

03

Timing ECO strategy

Understand the concept, connect it to the ASIC flow, study the report or behavior it produces, and apply it in a guided exercise. Check the result against the module goal before moving forward.

Completion checklist

  • All required scenarios are active
  • Noise and crosstalk settings are correct
  • ECO netlist and layout match
  • Final reports are reproducible

Practise with open-source tools

These are official third-party GitHub projects selected for this learning path.

See all curated resources →