SPRUJ59A April   2024  – September 2024 TMS320F28P550SJ , TMS320F28P559SJ-Q1

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Feature Differences Between F28003x and F28P55x
    1. 1.1 F28003x and F28P55x Feature Comparison
  5. 2PCB Hardware Changes
    1. 2.1 PCB Hardware Changes for the 100-Pin PZ, 80-Pin PNA and 64-Pin PM Packages
    2. 2.2 100-Pin PZ, 80-Pin PNA and 64-Pin PM Migration Between F28003x and F28P55x For New and Existing PCB
    3. 2.3 GPIO Input Buffer Control Register
  6. 3Feature Differences for System Consideration
    1. 3.1 New Features in F28P55x
      1. 3.1.1 Programmable Gain Amplifier(PGA)
      2. 3.1.2 Universal Serial Bus (USB)
      3. 3.1.3 5V Failsafe IOs
      4. 3.1.4 Flash Write Protection
      5. 3.1.5 Neural-Network Processing Unit (NPU)
    2. 3.2 Communication Module Changes
    3. 3.3 Control Module Changes
    4. 3.4 Analog Module Differences
    5. 3.5 Other Device Changes
      1. 3.5.1 PLL
      2. 3.5.2 PIE Channel Mapping
      3. 3.5.3 Bootrom
      4. 3.5.4 SW Libraries Included in the ROM
      5. 3.5.5 AGPIO
    6. 3.6 Power Management
      1. 3.6.1 LDO/VREG
      2. 3.6.2 POR/BOR
      3. 3.6.3 Power Consumption
    7. 3.7 Memory Module Changes
    8. 3.8 GPIO Multiplexing Changes
    9. 3.9 Analog Multiplexing Changes
  7. 4Application Code Migration From F28003x to F28P55x
    1. 4.1 C2000Ware Header Files
    2. 4.2 Linker Command Files
    3. 4.3 C2000Ware Examples
  8. 5Specific Use Cases Related to F28P55x New Features
    1. 5.1 PGA
    2. 5.2 USB
  9. 6EABI Support
    1. 6.1 Flash API
  10. 7References
  11. 8Revision History

3.1.5 Neural-Network Processing Unit (NPU)

The Neural-network Processing Unit (NPU) supports intelligent inferencing running pre-trained models. Capable of 600–1200MOPS (Mega Operations Per Second), the NPU provides up to 10x Neural Network (NN) inferencing cycle improvement versus a software only based implementation. Using TI supplied tools, users can train and evaluate models as well as acquire and visualize the data stream from the MCU. The model is then compiled to a standalone library that is added to the main project to utilize the NPU in a system.