MATLAB Coder Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms

作者: MathWorks GPU Coder Team
NVIDIA hardware target support from MATLAB Coder and GPU Coder
4.9
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4.1K 次下载
更新时间 2025/5/14
MATLAB Coder Support Package for NVIDIA® Jetson® and NVIDIA DRIVE™ Platforms automates the deployment of MATLAB algorithms and Simulink® models on embedded NVIDIA platforms by building and deploying the generated code on the target hardware board. It enables you to remotely communicate with the NVIDIA target and control the peripheral devices for prototyping and testing purposes.
When used with GPU Coder™, you can generate and deploy optimized CUDA® applications for deep learning, embedded vision, and radar and signal processing algorithms. For high performance, the generated code can call NVIDIA® TensorRT®.
When used with Embedded Coder, it enables software-in-the-loop and processor-in-the-loop simulation to verify that the MATLAB algorithm behaves as expected on the real hardware.
Hardware support for the NVIDIA Jetson platform includes the AGX, Orin, Nano, and Xavier Developer kits. It also supports the NVIDIA DRIVE platform. See the full listing in the documentation: https://www.mathworks.com/help/coder/nvidia/ug/install-and-setup-prerequisites.html
Starting in R2021a, you can also target just the ARM cores of the Jetson board and not target the GPU cores. GPU Coder is not required when using this workflow.
More information is available in the documentation: https://www.mathworks.com/help/coder/nvidia.html
For download and installation problems, please contact Technical Support: https://www.mathworks.com/support/contact_us.html
MATLAB 版本兼容性
创建方式 R2018b
兼容 R2018b 到 R2025a 的版本
平台兼容性
Windows macOS (Apple 芯片) macOS (Intel) Linux

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