Develop Algorithms
TheMATLAB Coder™ Support Package for NVIDIA Jetson®and NVIDIA DRIVE®Platformsrelies on theMATLAB Coderbase 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.
- 使用命令行接口代码生成(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.