You can use GPU Coder™ with the MATLAB® Coder™ Support Package for NVIDIA Jetson® and NVIDIA DRIVE® Platforms to deploy your MATLAB algorithms on embedded NVIDIA GPUs. Specifically, you can target the NVIDIA Jetson and DRIVE family of boards on either Windows® or Linux® systems. The support package enables you to remotely communicate with the NVIDIA target and control the peripheral devices for prototyping. The MATLAB entry-point function is deployed as a standalone executable that continues to run even if the hardware live connection is disconnected from the host computer.
To install this support package, use the Add-On Explorer in MATLAB. For information on the supported development platforms, see Install and Setup Prerequisites for NVIDIA Boards (MATLAB Coder Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms).
Starting in R2021a, the GPU Coder Support Package for NVIDIA GPUs is named MATLAB Coder Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms. To use this support package in R2021a, you must have the MATLAB Coder product.
Targeting embedded NVIDIA boards from the MATLAB command line.
Targeting embedded NVIDIA boards by using the GPU Coder app.
Package generated files into a compressed file that you can relocate and unpack with a standard zip utility.
Build and deploy to NVIDIA GPU boards.
Compare results from model and generated code simulations.
Tune parameters and monitor signals through a TCP/IP communication channel between development computer and target hardware.
Generate CUDA ROS Node from Simulink (ROS Toolbox)
Configure Simulink® Coder™ to generate and build a CUDA® ROS node from a Simulink model.
This example shows how to use deep convolutional neural networks inside a ROS enabled Simulink® model to perform lane and vehicle detection.
This example shows how to use Simulink® to control a simulated robot running on a separate ROS-based simulator.