This is in development and not all aspects have been completed!
Reference/demo distribution for various embedded platforms using Yocto Project tools and the meta-julia BSP layer.
The following processors have been tested:
Brand | Board | Status |
---|---|---|
NVIDIA Jetson | AGX Xavier | Can install Julia Language. GPU is functional with CUDA.jl |
Raspberry Pi | Pi4 B | Untested |
Pine64 | Quartz64 B | Untested |
See the Yocto Project Quick Build documentation for information on setting up your build host.
For burning SDcards, the bmap-tools
package is recommended.
-
Clone this repository:
$ git clone https://github.com/NickMcSweeney/yocto-julia-distros.git
-
Change to the appropriate sub-directory for your device.
-
Initialize the git submodules:
$ cd nvidia-jetson $ git submodule update --init
-
Source the
setup-env
script to create a build directory, specifying the MACHINE you want to configure as the default for your builds. For example, to set up a build directory calledbuild
that is set up for the Jetson AGX Xavier developer kit and the defaultjuliademo
distro:$ . ./setup-env --machine jetson-agx-xavier-devkit
You can get a complete list of available options, MACHINE names, and DISTRO names with
$ . ./setup-env --help
-
Optional: Install pre-commit hook for commit autosigning using $ ./scripts-setup/setup-git-hooks
Use the --distro
option with setup-env
to specify a distribution for your build,
or customize the DISTRO setting in your $BUILDDIR/conf/local.conf
to reference one
of the supported distributions.
Currently supported distributions are listed below:
Distribution name | Description |
---|---|
juliademo | Default distro used to demonstrate/test meta-julia language install |
juliapkgdemo | Default distro used to demonstrate/test meta-julia language & julia package/application install |
Please see the contributor page at this link. Contributions are welcome!