BOINC 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.
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 or https://your-ip:8181.
By default, there is no password set for the main gui. Optional environment variable PASSWORD will allow setting a password for the user abc.
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.
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.
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.
This container is based on Docker Baseimage KasmVNC which means there are additional environment variables and run configurations to enable or disable specific functionality.
Will start a Docker in Docker (DinD) setup inside the container to use docker in an isolated environment. For increased performance mount the Docker directory inside the container to the host IE -v /home/user/docker-data:/var/lib/docker.
-v /var/run/docker.sock:/var/run/docker.sock
Mount in the host level Docker socket to either interact with it via CLI or use Docker enabled applications.
--device /dev/dri:/dev/dri
Mount a GPU into the container, this can be used in conjunction with the DRINODE environment variable to leverage a host video card for GPU accelerated appplications. Only Open Source drivers are supported IE (Intel,AMDGPU,Radeon,ATI,Nouveau)
This container is capable of delivering a true lossless image at a high framerate to your web browser by changing the Stream Quality preset to "Lossless", more information here. In order to use this mode from a non localhost endpoint the HTTPS port on 8181 needs to be used. If using a reverse proxy to port 8080 specific headers will need to be set as outlined here.
BOINC 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.
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 or https://your-ip:8181.
By default, there is no password set for the main gui. Optional environment variable PASSWORD will allow setting a password for the user abc.
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.
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.
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.
This container is based on Docker Baseimage KasmVNC which means there are additional environment variables and run configurations to enable or disable specific functionality.
Will start a Docker in Docker (DinD) setup inside the container to use docker in an isolated environment. For increased performance mount the Docker directory inside the container to the host IE -v /home/user/docker-data:/var/lib/docker.
-v /var/run/docker.sock:/var/run/docker.sock
Mount in the host level Docker socket to either interact with it via CLI or use Docker enabled applications.
--device /dev/dri:/dev/dri
Mount a GPU into the container, this can be used in conjunction with the DRINODE environment variable to leverage a host video card for GPU accelerated appplications. Only Open Source drivers are supported IE (Intel,AMDGPU,Radeon,ATI,Nouveau)
This container is capable of delivering a true lossless image at a high framerate to your web browser by changing the Stream Quality preset to "Lossless", more information here. In order to use this mode from a non localhost endpoint the HTTPS port on 8181 needs to be used. If using a reverse proxy to port 8080 specific headers will need to be set as outlined here.
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.
01.04.20: - Install boinc from ppa.
17.03.20: - Add armhf and aarch64 builds and switch to multi-arch image.
16.03.20: - Clean up old pid files.
15.03.20: - Initial release.
Last update: October 10, 2023 Created: February 5, 2019
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+
Once registered you can define the dockerfile to use with -f Dockerfile.aarch64.
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.
01.04.20: - Install boinc from ppa.
17.03.20: - Add armhf and aarch64 builds and switch to multi-arch image.
16.03.20: - Clean up old pid files.
15.03.20: - Initial release.
Last update: November 21, 2023 Created: February 5, 2019
\ No newline at end of file
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