What problem does it solve?
Deploying MATLAB-generated C/C++ code to embedded hardware requires correct Embedded Coder configuration, memory constraints, and on-target verification, and misconfigured settings cause compilation failures or undetected numerical errors on the device.
Core Features & Use Cases
- ERT-Based Configuration: Create production-quality code generation configs with
coder.config("lib", "ecoder", true) and select target boards like STM32 Discovery or Raspberry Pi.
- Memory and Performance Tuning: Disable dynamic memory allocation for bare-metal Cortex-M targets, set stack limits, and configure SIMD instruction sets, code replacement libraries, and OpenMP.
- MEX → SIL → PIL Verification: Validate generated code through a staged progression ending in processor-in-the-loop testing on physical hardware over serial or SSH.
- Use Case: Generate C code from a MATLAB algorithm for an STM32F746G-Discovery board, disable heap allocation, then run PIL tests over a serial COM port to confirm the on-target output matches MATLAB.
Quick Start
Ask your agent to configure Embedded Coder to generate C code for a Raspberry Pi and verify it with PIL testing.