开发算法
MATLAB Coder™ Support Package for NVIDIA Jetson™ and NVIDIA DRIVE® Platforms 依赖 MATLAB Coder 基础产品来生成优化的 C/C++ 代码,并依赖 GPU Coder™ 产品来生成优化的 CUDA® 代码。然后,生成的代码可以部署到 NVIDIA 平台,通过这些平台上的 ARM® CPU 或 CUDA GPU 来执行。
主题
- 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.