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Module 36 min

Optimization

Optimization restructures logic and chooses cells to meet timing, area, power, and electrical rules.

◉ Banzs Tip

Improving one metric can degrade another, so quality-of-results must be reviewed as a balanced set.

Upsizing a gate may improve delay but increase load on the previous stage and raise dynamic and leakage power.

Logic Synthesis flow

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

Optimization—visualized

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

Understand every concept

01

Timing, area and power tradeoffs

What it is: Timing, area and power tradeoffs is a core concept within Optimization. It describes the information, structure, or analysis engineers use at this stage of the Logic Synthesis 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 3, Optimization, and its output supports the stages that follow.

Practical example: Engineer workflow: Identify the dominant failing metric and path groups. Upsizing a gate may improve delay but increase load on the previous stage and raise dynamic and leakage power.

02

Path grouping

What it is: Path grouping is a core concept within Optimization. It describes the information, structure, or analysis engineers use at this stage of the Logic Synthesis 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 3, Optimization, and its output supports the stages that follow.

Practical example: Engineer workflow: Check constraints and architecture before aggressive optimization. Upsizing a gate may improve delay but increase load on the previous stage and raise dynamic and leakage power.

03

Design-rule constraints

What it is: Design-rule constraints is a core concept within Optimization. It describes the information, structure, or analysis engineers use at this stage of the Logic Synthesis 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 3, Optimization, and its output supports the stages that follow.

Practical example: Engineer workflow: Apply sizing, restructuring, buffering, or sharing. Upsizing a gate may improve delay but increase load on the previous stage and raise dynamic and leakage power.

Work through it step by step

  1. 1

    Timing, area and power tradeoffs

    Identify the dominant failing metric and path groups.

  2. 2

    Path grouping

    Check constraints and architecture before aggressive optimization.

  3. 3

    Design-rule constraints

    Apply sizing, restructuring, buffering, or sharing.

  4. 4

    Timing, area and power tradeoffs

    Compare timing, area, power, and design-rule reports.

Explore each topic

01

Timing, area and power tradeoffs

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 grouping

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

Design-rule constraints

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

  • Critical paths are functionally real
  • Area growth is understood
  • Transition and capacitance limits pass
  • No new path group regresses unexpectedly

Practise with open-source tools

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

See all curated resources →