The GPU Coder™ Support Package for NVIDIA® GPUs enables you to deploy your MATLAB function on the hardware. The function is deployed as a standalone executable that continues to run even if the hardware live connection is disconnected from the host computer.
jetson | Connection to NVIDIA Jetson hardware |
drive | Connection to NVIDIA DRIVE hardware |
camera | Connection to USB or CSI camera |
webcam | Connection to USB web camera |
imageDisplay | NVIDIA display object |
Build and Run an Executable on NVIDIA Hardware
Build and run an executable on NVIDIA hardware.
Build and Run an Executable on NVIDIA Hardware Using GPU Coder App
Use GPU Coder app to build and run an executable on NVIDIA hardware.
Read Video Files on NVIDIA Hardware
Generate CUDA code for reading video files on the NVIDIA target by using the
videoReader
function.
Stop or Restart an Executable Running on NVIDIA Hardware
Stop or restart an executable running on the hardware.
Processor-In-The-Loop Execution from Command Line
Use PIL execution to verify the numerical behavior of the generated code at the MATLAB command line.
Processor-In-The-Loop Execution with the GPU Coder App
Use the GPU Coder app to verify the numerical behavior of the generated code.
Execution-Time Profiling for PIL
Why measure execution times for code generated from entry-point functions.
Targeting NVIDIA Embedded Boards
Build and deploy to NVIDIA GPU boards.
Compare results from model and generated code simulations.
Parameter Tuning and Signal Monitoring Using External Mode
Tune parameters and monitor signals through a TCP/IP communication channel between development computer and target hardware.