SDAA554 November   2026 AM3351 , AM3352 , AM3354 , AM3356 , AM3357 , AM3358 , AM3359 , AM623 , AM625 , AM62A3 , AM62A7 , AM62L , AM62P , AM67 , AM67A

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2Understanding the Hardware Landscape and UI Implications
    1. 2.1 Hardware Platform Categories: The Baseline
    2. 2.2 Featured Platform Specifications & Architecture Context
      1. 2.2.1 Texas Instruments AM335 Platform
      2. 2.2.2 Texas Instruments AM62L Platform
      3. 2.2.3 Texas Instruments AM62A Platform
      4. 2.2.4 Texas Instruments AM62 Platform
      5. 2.2.5 Texas Instruments AM62P and AM67 Platforms
      6. 2.2.6 Texas Instruments AM67A Platform
  6. 3Technology Deep Dive: The Frameworks
    1. 3.1 Qt: Cross-Platform Application Framework
      1. 3.1.1 Technology Architecture
      2. 3.1.2 Platform Suitability & Real-World Scaling
      3. 3.1.3 The Business Case: Advantages and Challenges
    2. 3.2 Slint: The Modern Lightweight Alternative
      1. 3.2.1 Technology Architecture
      2. 3.2.2 Platform Suitability and Real-World Scaling
      3. 3.2.3 The Business Case: Advantages and Challenges
    3. 3.3 LVGL: The Microcontroller Specialist
      1. 3.3.1 Technology Architecture
      2. 3.3.2 Platform Suitability and Real-World Scaling
      3. 3.3.3 The Business Case: Advantages and Challenges
    4. 3.4 Flutter: The Mobile-First Approach
      1. 3.4.1 Technology Architecture
      2. 3.4.2 Platform Suitability and Real-World Scaling
      3. 3.4.3 The Business Case: Advantages and Challenges
    5. 3.5 Other Notable Frameworks
  7. 4The KDAB Decision Framework and Implementation Best Practices
    1. 4.1 Decision Criteria Beyond the Silicon
      1. 4.1.1 Licensing and Business Model
      2. 4.1.2 Team Expertise and Development Velocity
      3. 4.1.3 Long-Term Maintenance & Certification
    2. 4.2 Implementation Best Practices: Optimizing Performance
      1. 4.2.1 Memory and Graphics Management
      2. 4.2.2 Power Efficiency
    3. 4.3 Start-Up Time Considerations (The "Cold Boot" Problem)
    4. 4.4 Power Efficiency (Battery-Powered Devices)
    5. 4.5 Future Trends and Considerations
  8. 5Summary: TI and KDAB's Perspective
    1. 5.1 About the KDAB Group
    2. 5.2 About the Texas Instruments Sitara MPU Group
  9. 6References

4.3 Start-Up Time Considerations (The "Cold Boot" Problem)

Application launch time critically impacts the perceived quality of embedded devices.

  • Qt: The Qt Quick Compiler reduces cold boot by hundreds of milliseconds through AOT compilation.
  • Slint: Minimal start-up overhead thanks to its tiny compiled binary size.
  • LVGL: Fast initialization with minimal runtime setup.
  • Flutter: Longer initialization due to Dart VM and framework loading.

Universal optimization: Trimmed dependencies and precompilation contribute to fast boots. Static linking can help but is not a silver bullet — apply it selectively rather than as a default performance lever.