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Develop Algorithms

Develop MATLAB® algorithms that can be deployed to NVIDIA® boards

The MATLAB Coder™ Support Package for NVIDIA Jetson™ and NVIDIA DRIVE™ Platforms relies on the MATLAB Coder base product to generate optimized C/C++ code and the GPU Coder™ product to generate optimized CUDA® code. The generated code can then be deployed to NVIDIA platforms targeting either the ARM® CPUs or the CUDA capable GPUs on these platforms.

Topics

GPU Programming Paradigm (GPU Coder)

Introduction to GPU accelerated computing.

Code Generation by Using the GPU Coder App (GPU Coder)

Generate CUDA code from MATLAB code by using the GPU Coder app.

Code Generation Using the Command Line Interface (GPU Coder)

Generate CUDA code from MATLAB code by using the codegen command.

MATLAB Language Features Support for GPU Coder (GPU Coder)

Use the MATLAB language capabilities that GPU Coder supports.

Supported Functions (GPU Coder)

Alphabetical list of MATLAB and toolbox functions that GPU Coder supports.

Kernel Creation (GPU Coder)

Algorithm structures and patterns that create CUDA GPU kernels

Code Generation for Deep Learning Networks by Using cuDNN (GPU Coder)

Generate code for pretrained convolutional neural networks by using the cuDNN library.

Code Generation for Deep Learning Networks by Using TensorRT (GPU Coder)

Generate code for pretrained convolutional neural networks by using the TensorRT library.

Featured Examples