建模
R2026bInfineon® AURIX™ TC4x 系列中的微控制器最多可包含六个 TriCore® 处理单元（TriCore 0 至 TriCore 5）。TriCore 0 是主要处理单元，负责处理 AURIX 微控制器中的系统初始化、启动过程和关键控制任务。此外，某些变体还包括并行处理单元 (PPU)，这是专用的硬件加速器，可用于提升高度并行的向量计算的速度。这些处理单元可以独立或协作运行。您可以将不同应用程序分配给各个处理单元。为了支持 Simulink® 中的模块化和并发设计，您可以将一个复杂应用程序的各个组件分布在多个处理单元上。
Embedded Coder® Support Package for Infineon AURIX TC4x Microcontrollers 可帮助您设计多核和单核应用程序模型。下图显示使用 Infineon AURIX TC4x 微控制器的不同处理单元 (PU) 的推荐建模方案。
一体式模型 - 单一或独立 Simulink 模型，它生成一个集成的应用程序，该应用程序由 Simulink 在单个处理单元上执行。
基于 SoC 的多核模型 - 统一的片上系统 (SoC) 架构，它为参与的处理单元生成一个或多个集成应用程序。SoC 模型由一个顶层模型和两个或多个独特的引用模型组成。顶层模型表示整个嵌入式系统，其中包含在引用模型上运行的应用程序算法或模型。
主题
- Monolithic Modeling for Infineon AURIX Microcontrollers
Design, evaluate, and implement single-core models.
- SoC-Based Multicore Modeling for Infineon AURIX Microcontrollers
Design, evaluate, and implement multicore SoC models.
- SoC-Based Multicore Modeling Workflow for Infineon AURIX Microcontrollers
Create SoC based multicore models.
精选示例
Embedded Coder Support Package for Infineon AURIX TC4x Microcontrollers 快速入门
此示例说明如何使用 Embedded Coder® Support Package for Infineon® AURIX™ TC4x Microcontrollers 在 Infineon AURIX TC4x 板上运行 Simulink® 模型。
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 hardware board 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 the parallel processing unit (PPU) of Infineon AURIX TC4x Microcontrollers to generate optimized code. It also shows how to configure the custom storage class and memory sections to control the placement of code and data in the memory of PPU. PPU is a specialized hardware accelerator that you can use to speed up the highly parallel vector computations.
