NVIDIA Jetson devices are great for edge computing, but the development experience of compiling and storing source code on device is not ideal. jetson-crosscompile-template simplifies the process of developing high-performance C++ applications for NVIDIA Jetson using clang and CMake in a Linux or WSL development environment with standardized tooling and workflows. A buffer abstraction API is provided that unifies various CUDA and NVMM memory models and provides Tegra, desktop CUDA, and CPU-only implementations to make your code write-once, run-anywhere. This template is designed to be a starting point for your next project, and includes the following features:
- Cross-Compiling Support: Don't waste time compiling on the Jetson. Build and deploy your application from your development machine.
- Multiple Deployment Targets: Easily switch between CPU, CUDA, and Tegra targets.
- Remote Debugging: Remote debugging with gdbserver and VSCode.
- Hardware Buffer Abstractions: RAII wrappers for CUDA and NVMM buffers with Tegra, CUDA desktop, and CPU-only implementations for on and off-device testing.
- Modern C++ & CMake: Utilizes recent standards in C++ and CMake for efficient development.
- Dependency Management: Easily add and manage dependencies with CPM. Provided scripts fetch the required NVIDIA packages for cross-compiling.
- Testing: Unit testing with Catch2 and CTest.
- Linter Support: Automatic linting with clang-format, cmake-format, and clang-tidy.
- Static Analysis: Static analysis with clang-tidy.
- Code Coverage: Code coverage with llvm-cov and gcovr.
- Continuous Integration: CI with GitHub Actions for automatic linting, building, testing, static analysis, and code coverage.
| CPU | CUDA | NVMM | |
|---|---|---|---|
| GitHub Actions | ✅ | ❌ | ❌ |
| Linux/WSL | ✅ | ✅ | ❌ |
| Jetson | ✅ | ✅ | ✅ |
Supported backends for different deployment targets. GitHub Actions can be extended to support CUDA and Tegra targets with Custom Runners.
- Clone This Template: Use this template to create a new repository, then git clone the new repository to your machine.
- Set Up Your Environment: Follow the setup guide here.
- Build and Run: Use the Makefile to build and run the project, or use the VSCode Tasks to build, run, and debug.
Contributions of all kinds are welcome! Use GitHub issues and pull requests for bug reports, feature requests, and code contributions.
This project is open source and available under the MIT License. Developed by John Hurliman.
- ctest unit test
- CPM dependency management
- Add support for more Jetson devices
- fix <<<...>>> clang warning for CUDA kernel launch
- C++23