Hardware Support

NVIDIA Tegra Support from GPU Coder

Generate and deploy optimized CUDA code on embedded NVIDIA Jetson boards


Capabilities and Features

GPU Coder™ Support Package for NVIDIA GPUs automates the deployment of MATLAB® algorithm or Simulink® design on embedded NVIDIA GPUs such as the Jetson platform. Use the interactive communication to prototype and develop your MATLAB algorithm, then automatically generate equivalent C code and deploy it to the drive platform to run as a standalone.

Interactive communication: You can remotely communicate with the NVIDIA target from MATLAB to acquire data from supported sensors and imaging devices connected to the target and then analyze and visualize it in MATLAB. You can log data from supported sensors to help fine-tune your algorithm for early prototyping.

Standalone execution: You can deploy the generated CUDA code as a standalone embedded application on the drive platform. You can build and deploy the generated CUDA code from your MATLAB algorithm, along with the interfaces to the peripherals and the sensors, on the Jetson platform.

The support package also supports the NVIDIA DRIVETM platform.


Related Hardware Support Views: Aerospace and Defense, Automotive, Consumer Electronics, C ∕ C++ Code Generation, Digital Signal Processing, Embedded Systems, GPU Coder, Image Processing and Computer Vision, MathWorks Supported, MATLAB Product Family, NVIDIA, Support Package Installer Enabled

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Before installing the support package, confirm you have the correct setup. View system requirements and installation options.

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