使用 Infineon AURIX 进行多核仿真和优化代码生成
Infineon AURIX TC4x 微控制器包含 6 个同构 TriCore® CPU（TriCore 0 到 TriCore 5）和一个异构并行处理单元 (PPU)。您可以在可用的核上运行不同的模型，也可以对复杂模型进行分区以便在多个核上同时运行，从而实现设计模块化。Interprocess Data Channel 模块处理多个核之间的通信。在对多核模型进行仿真后，您可以使用 SoC 构建器工具在 Infineon AURIX TC4x 硬件板上部署生成的代码，并使用 Infineon 的 One Eye 工具监控来自硬件的信号。
PPU 执行计算的速度比 TriCore 快。PPU 核通过使用代码替换库将部分生成的代码替换为硬件特定的代码来提高模型的性能。TriCore 0 核是主核，它可以与所有其余辅助核（TriCore 1 到 TriCore 5 和 PPU）通信。
使用 Infineon AURIX 微控制器的多个核创建一个 SoC 模型后，请使用 SoC 构建器生成可执行文件、代码和对硬件板进行编程。请参阅Getting Started with Multicore Modeling and Targeting for Infineon AURIX TC4x Microcontrollers示例，了解如何验证、编译和运行多核模型，以生成可执行文件、代码和对 Infineon AURIX TC4x 硬件板进行编程。
模块
工具
主题
- Parallel Processing Unit for Optimized Code Generation
Use PPU to implement models with large data processing requirements or fast execution time requirements.
- PIL Simulation Using nSIM Simulator
Run PIL simulations and test PPU based application models using nSIM simulator.
- Top-Level Models Using TriCores of Infineon AURIX
Simulate, and generate code for top-level models with referenced models using TriCores of Infineon AURIX TC4x microcontrollers.
- Top-Level Models Using TriCores and PPU of Infineon AURIX
Simulate and generate hardware-specific code for top-level models with referenced models using TriCore and PPU cores of Infineon AURIX.
- Single-Core and Flat Models Using TriCore and PPU of Infineon AURIX
Simulate and generate code for single-core and flat models using multiple cores of Infineon AURIX.
- Generate Code and Deploy Using SoC Builder
Generate code and run it on the target hardware board using the SoC Builder tool.
- Generate Software Executables for Multicore Models
Generate ELF file for all participating homogenous cores of Infineon AURIX.
- Task Duration
Set the execution time or duration of a task in Task Manager block.
- What is Task Execution?
Learn the definition of task execution and task life-cycle in a processor.
- Task Execution Playback Using Recorded Data
Replay task execution timing using recorded task timing data from previous simulations or processors.
精选示例
Getting Started with Multicore Modeling and Targeting for Infineon AURIX TC4x Microcontrollers
Use Embedded Coder® Support Package for Infineon® AURIX™ TC4x Microcontrollers to implement multicore modeling and communication between two cores on an Infineon® AURIX™ microcontroller. This example uses a top-level model and two referenced models for two-way multicore data communication. The model supports both simulation and code generation. You can simulate the model and deploy the code on an Infineon AURIX TC4xx TriBoard using the Soc Builder tool and observe the blinking of the configured LEDs of each core to verify the communication between the cores.
Getting Started with PPU Accelerator for Infineon AURIX TC4x Microcontrollers
Use Embedded Coder™ Support Package for Infineon® AURIX™ Microcontrollers to improve performance using PPU accelerator and implement two-way Interprocess communication between TriCore0 and Parallel Processing Unit (PPU) on an Infineon® AURIX™ microcontroller. This example uses a top-level model and two referenced models for two-way communication between a TriCore and PPU. You can deploy the code on an Infineon AURIX TC4xx TriBoard and observe that the LEDs that you configured for each core are blinking.
Code Verification and Validation with PIL Using PPU
Use Embedded Coder® Support Package for Infineon® AURIX™ TC4x Microcontrollers for code verification and validation using processor-in-the-loop (PIL), for top model.
Analyze Sensorless Observers for Field-Oriented Control Using Multiple Cores of Infineon AURIX
Use Embedded Coder® Support Package for Infineon® AURIX™ Microcontrollers for sensorless field-oriented control using multiple cores of an Infineon AURIX microcontroller board. This example uses a top-level model and two referenced models. You use the TriCore0 referenced model to implement a sensor-based field-oriented control (FOC) technique to control the speed of a three-phase brushless DC (BLDC) motor. You use the TriCore1 referenced model to implement and analyze different sensorless algorithms, such as the algorithms implemented in the Flux Observer (Motor Control Blockset), 滑动模式观测器 (Motor Control Blockset), and Extended EMF Observer (Motor Control Blockset) blocks.
Accelerate AI Based Software Development on Infineon AURIX TC4x Microcontroller
Implement AI based motor control functions using the Model-Based Design approach by deploying a multi-layer perceptron (MLP) neural network on the Infineon® AURIX™ TC4x microcontroller.
Generate and Deploy Optimized Code for Digit Classification Deep Learning Network on Infineon PPU Target
Generate and deploy optimized code for a digit classification deep learning network to run on an Infineon® AURIX™ TC4x PPU.
Custom Storage Class for Infineon AURIX TC4x Microcontrollers
Define a custom storage class for Infineon® AURIX™ TC4x Microcontrollers using Embedded Coder® Support Package for Infineon® AURIX™ TC4x Microcontrollers.
