[BOINC](https://boinc.berkeley.edu/) is a platform for high-throughput computing on a large scale (thousands or millions of computers). It can be used for volunteer computing (using consumer devices) or grid computing (using organizational resources). It supports virtualized, parallel, and GPU-based applications.
We utilise the docker manifest for multi-platform awareness. More information is available from docker [here](https://github.com/docker/distribution/blob/master/docs/spec/manifest-v2-2.md#manifest-list) and our announcement [here](https://blog.linuxserver.io/2019/02/21/the-lsio-pipeline-project/).
Simply pulling `lscr.io/linuxserver/boinc:latest` should retrieve the correct image for your arch, but you can also pull specific arch images via tags.
This image sets up the BOINC client and manager and makes its interface available via Guacamole server in the browser. The interface is available at `http://your-ip:8080`.
By default, there is no password set for the main gui. Optional environment variable `PASSWORD` will allow setting a password for the user `abc`.
You can access advanced features of the Guacamole remote desktop using `ctrl`+`alt`+`shift` enabling you to use remote copy/paste and different languages.
It is recommended to switch to `Advanced View` in the top menu, because the `Computing Preferences` don't seem to be displayed in `Simple View`.
Sometimes, the pop-up windows may open in a tiny box in the upper left corner of the screen. When that happens, you can find the corner and resize them.
## GPU Hardware Acceleration
### Intel
Hardware acceleration users for Intel Quicksync will need to mount their /dev/dri video device inside of the container by passing the following command when running or creating the container:
```--device=/dev/dri:/dev/dri```
We will automatically ensure the abc user inside of the container has the proper permissions to access this device.
### Nvidia
Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here:
https://github.com/NVIDIA/nvidia-docker
We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Once nvidia-docker is installed on your host you will need to re/create the docker container with the nvidia container runtime `--runtime=nvidia` and add an environment variable `-e NVIDIA_VISIBLE_DEVICES=all` (can also be set to a specific gpu's UUID, this can be discovered by running `nvidia-smi --query-gpu=gpu_name,gpu_uuid --format=csv` ). NVIDIA automatically mounts the GPU and drivers from your host into the BOINC docker container.
Docker images are configured using parameters passed at runtime (such as those above). These parameters are separated by a colon and indicate `<external>:<internal>` respectively. For example, `-p 8080:80` would expose port `80` from inside the container to be accessible from the host's IP on port `8080` outside the container.
For all of our images we provide the ability to override the default umask settings for services started within the containers using the optional `-e UMASK=022` setting.
Keep in mind umask is not chmod it subtracts from permissions based on it's value it does not add. Please read up [here](https://en.wikipedia.org/wiki/Umask) before asking for support.
When using volumes (`-v` flags), permissions issues can arise between the host OS and the container, we avoid this issue by allowing you to specify the user `PUID` and group `PGID`.
[](https://mods.linuxserver.io/?mod=boinc "view available mods for this container.") [](https://mods.linuxserver.io/?mod=universal "view available universal mods.")
We publish various [Docker Mods](https://github.com/linuxserver/docker-mods) to enable additional functionality within the containers. The list of Mods available for this image (if any) as well as universal mods that can be applied to any one of our images can be accessed via the dynamic badges above.
* **23.03.21:** - Rebase to rdesktop-web baseimage. Deprecate `GUAC_USER` and `GUAC_PASS` env vars. Existing users can set the new var `PASSWORD` for the user `abc`.
