GPU Coder™ generates optimized CUDA® code for deep learning, embedded vision, and autonomous systems. The generated code calls optimized NVIDIA CUDA libraries and can be used for prototyping on all NVIDIA GPU platforms.
GPU Coder support package for NVIDIA GPUs automates the deployment of MATLAB® algorithms on embedded NVIDIA® GPUs by building and deploying the generated CUDA code on the target GPU hardware board. It enables you to remotely communicate with the NVIDIA target and control the peripheral devices for prototyping.
With Embedded Coder, it also enables processor-in-the-loop simulation to verify that the MATLAB algorithm behaves as expected on the real hardware.
GPU Coder supports NVIDIA Jetson TK1, Jetson TX1, Jetson TX2, Jetson Xavier and Jetson Nano Developer kits. It also supports the NVIDIA Drive platform.
This hardware support package is functional for R2018b and beyond.
If you have download or installation problems, please contact Technical Support - https://www.mathworks.com/support/contact_us.html