SPRADD8 November   2024 F29H850TU , F29H859TU-Q1

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction to Real-Time Control
  5. 2C29 CPU and Key Features
    1. 2.1 Parallel Architecture and Compiler Entitlement
  6. 3C29 Performance Benchmarks
    1. 3.1 Signal Chain Benchmark with ACI Motor Control
    2. 3.2 Real-time Control and DSP Performance
      1. 3.2.1 Examples and Factors Contributing to Results
        1. 3.2.1.1 Saturation (or Limiting) Example
        2. 3.2.1.2 Dead Zone Example
        3. 3.2.1.3 Space Vector Generation (SVGEN) Example
        4. 3.2.1.4 Software Pipelining
      2. 3.2.2 Customer Control and Math Benchmarks
    3. 3.3 General Purpose Processing (GPP) Performance
      1. 3.3.1 Examples and Factors Contributing to Results
        1. 3.3.1.1 Discontinuity Management
        2. 3.3.1.2 Switch() Example
    4. 3.4 Model-Based Design Benchmarks
    5. 3.5 Application Benchmarks
      1. 3.5.1 Single Phase 7kW OBC Description
      2. 3.5.2 Vienna Rectifier-Based Three Phase Power Factor Correction
      3. 3.5.3 Single-Phase Inverter
      4. 3.5.4 Machine Learning
    6. 3.6 Flash Memory Efficiency
    7. 3.7 Code-size Efficiency
  7. 4Summary
  8. 5References

3.3.1 Examples and Factors Contributing to Results

This section provides insight and analysis into the architecture and compiler to explain the results illustrated above. The C29 CPU's improved GPP performance is attributed to a number of enhancements:

  • Multiple general purpose functional units in the C29 CPU boost general purpose performance.
  • Delayed branches, leading to effectively no branch penalties; this is explained in the discontinuity management sub-section.
  • Condition execution instructions for short branches; this is illustrated in the saturation and deadzone examples.
  • Special branch instructions that allow the C29 compiler to collapse multiple branch destinations into a single instruction, illustrated in the switch example sub-section.
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