kopia lustrzana https://github.com/linuxserver/docker-documentation
Bot Updating Documentation
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# linuxserver/boinc
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# [linuxserver/boinc](https://github.com/linuxserver/docker-boinc)
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[](https://github.com/linuxserver/docker-boinc) [](https://github.com/linuxserver/docker-boinc/releases) [](https://github.com/linuxserver/docker-boinc/packages) [](https://gitlab.com/Linuxserver.io/docker-boinc/container_registry) [](https://microbadger.com/images/linuxserver/boinc) [](https://hub.docker.com/r/linuxserver/boinc) [](https://hub.docker.com/r/linuxserver/boinc) [](https://ci.linuxserver.io/job/Docker-Pipeline-Builders/job/docker-boinc/job/master/) [](https://lsio-ci.ams3.digitaloceanspaces.com/linuxserver/boinc/latest/index.html)
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[](https://github.com/linuxserver/docker-boinc)
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[](https://github.com/linuxserver/docker-boinc/releases)
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[](https://github.com/linuxserver/docker-boinc/packages)
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[](https://gitlab.com/Linuxserver.io/docker-boinc/container_registry)
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[](https://microbadger.com/images/linuxserver/boinc "Get your own version badge on microbadger.com")
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[](https://hub.docker.com/r/linuxserver/boinc)
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[](https://hub.docker.com/r/linuxserver/boinc)
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[](https://ci.linuxserver.io/job/Docker-Pipeline-Builders/job/docker-boinc/job/master/)
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[](https://lsio-ci.ams3.digitaloceanspaces.com/linuxserver/boinc/latest/index.html)
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[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.
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[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.
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## Supported Architectures
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@ -13,18 +21,19 @@ Simply pulling `linuxserver/boinc` should retrieve the correct image for your ar
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The architectures supported by this image are:
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| Architecture | Tag |
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| :---: | :--- |
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| :----: | --- |
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| x86-64 | latest |
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| arm64 | arm64v8-latest |
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| armhf | arm32v7-latest |
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## Usage
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Here are some example snippets to help you get started creating a container from this image.
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### docker
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```text
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```
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docker create \
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--name=boinc \
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-e PUID=1000 \
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@ -39,6 +48,7 @@ docker create \
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linuxserver/boinc
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```
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### docker-compose
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Compatible with docker-compose v2 schemas.
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@ -67,43 +77,44 @@ services:
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## Parameters
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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.
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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.
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### Ports \(`-p`\)
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### Ports (`-p`)
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| Parameter | Function |
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| :---: | :--- |
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| :----: | --- |
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| `8080` | Boinc desktop gui. |
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### Environment Variables \(`-e`\)
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### Environment Variables (`-e`)
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| Env | Function |
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| :---: | :--- |
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| :----: | --- |
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| `PUID=1000` | for UserID - see below for explanation |
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| `PGID=1000` | for GroupID - see below for explanation |
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| `TZ=Europe/London` | Specify a timezone to use EG Europe/London. |
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| `GUAC_USER=abc` | Username for the BOINC desktop gui. |
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| `GUAC_PASS=900150983cd24fb0d6963f7d28e17f72` | Password's md5 hash for the BOINC desktop gui. |
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### Volume Mappings \(`-v`\)
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### Volume Mappings (`-v`)
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| Volume | Function |
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| :---: | :--- |
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| :----: | --- |
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| `/config` | Where BOINC should store its database and config. |
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#### Device Mappings \(`--device`\)
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#### Device Mappings (`--device`)
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| Parameter | Function |
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| :---: | :--- |
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| `/dev/dri` | Only needed if you want to use your Intel GPU \(vaapi\). |
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| :-----: | --- |
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| `/dev/dri` | Only needed if you want to use your Intel GPU (vaapi). |
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## Environment variables from files \(Docker secrets\)
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## Environment variables from files (Docker secrets)
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You can set any environment variable from a file by using a special prepend `FILE__`.
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As an example:
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```text
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```
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-e FILE__PASSWORD=/run/secrets/mysecretpassword
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```
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@ -111,17 +122,19 @@ Will set the environment variable `PASSWORD` based on the contents of the `/run/
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## Umask for running applications
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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.
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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.
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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.
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## User / Group Identifiers
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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`.
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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`.
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Ensure any volume directories on the host are owned by the same user you specify and any permissions issues will vanish like magic.
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In this instance `PUID=1000` and `PGID=1000`, to find yours use `id user` as below:
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```text
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```
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$ id username
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uid=1000(dockeruser) gid=1000(dockergroup) groups=1000(dockergroup)
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```
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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`.
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By default, there is no username or password set. Custom usernames and passwords can be set via optional docker environment variables. Keep in mind that the `GUACPASS` variable accepts the `md5 hash` of the desired password \(the sample above is the hash for `abc`\). The md5 hash can be generated by either of the following commands:
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By default, there is no username or password set. Custom usernames and passwords can be set via optional docker environment variables. Keep in mind that the `GUACPASS` variable accepts the `md5 hash` of the desired password (the sample above is the hash for `abc`). The md5 hash can be generated by either of the following commands:
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```text
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```
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echo -n password | openssl md5
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```
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```text
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```
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printf '%s' password | md5sum
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```
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### Intel
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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:
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`--device=/dev/dri:/dev/dri` We will automatically ensure the abc user inside of the container has the proper permissions to access this device.
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```--device=/dev/dri:/dev/dri```
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We will automatically ensure the abc user inside of the container has the proper permissions to access this device.
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### Nvidia
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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](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.
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Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here:
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https://github.com/NVIDIA/nvidia-docker
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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.
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## Docker Mods
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[](https://mods.linuxserver.io/?mod=boinc "view available mods for this container.")
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[](https://mods.linuxserver.io/?mod=boinc)
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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) can be accessed via the dynamic badge above.
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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 \(if any\) can be accessed via the dynamic badge above.
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## Support Info
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* **17.03.20:** - Add armhf and aarch64 builds and switch to multi-arch image.
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* **16.03.20:** - Clean up old pid files.
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* **15.03.20:** - Initial release.
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