![]() ![]() MATLAB Coder (MATLAB Coder) app to generate code. ![]() When used with Embedded Coder, GPU Coder lets you verify the numerical behavior of the generated code via software-in-the-loop (SIL) and processor-in-the-loop (PIL) testing. The code presented here is very basic in approach, yet it is 70. GPU Coder lets you incorporate handwritten CUDA code into your algorithms and into the generated code. You can use the generated CUDA within MATLAB to accelerate deep learning networks and other computationally intensive portions of your algorithm. The support package enables you to rapidly prototype embedded applications for STM32 Nucleo boards using board specific peripheral and sensor blocks in Simulink and run the model as standalone application on STM32 Nucleo board. The code can be integrated into your project as source code, static libraries, or dynamic libraries, and it can be compiled for desktops, servers, and GPUs embedded on NVIDIA Jetson™, NVIDIA DRIVE™, and other platforms. Simulink Coder Support for STM32 Nucleo Boards. For high performance, the generated code calls optimized NVIDIA ® CUDA libraries, including TensorRT™, cuDNN, cuFFT, cuSolver, and cuBLAS. The generated code includes CUDA kernels for parallelizable parts of your deep learning, embedded vision, and signal processing algorithms. GPU Coder generates optimized CUDA ® code from MATLAB code and Simulink models.
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