Deploy Embedded Code

Configure MATLAB Coder with Embedded Coder for production-quality code generation targeting embedded hardware, and verify correctness with processor-in-the-loop (PIL) testing.

When to Use

• Generating C/C++ code for a microcontroller or embedded Linux board
• Setting up PIL or SIL verification for generated code
• Configuring code generation with no dynamic memory allocation
• Configuring Embedded Coder for an AI model entry-point function prepared by matlab-deploy-embedded-ai; for the full AI compression and model-loading workflow, trigger matlab-deploy-embedded-ai first
• Selecting a hardware target board (STM32, Raspberry Pi)

When NOT to Use

• Generating MEX or desktop libraries — use standard codegen workflows
• Simulink-based deployment — use Simulink Coder / Embedded Coder workflows directly
• GPU code generation (CUDA) — use GPU Coder