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BOINC client in a Docker container

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The client can be accessed remotely or locally with any BOINC Manager.

Contents

News

  • Dec 3 2018: Breaking change! From version 7.10.2 on Linux the default working directory changed to /var/lib/boinc from /var/lib/boinc-client. We changed our images accordingly. The new images must be run with the new commands, or it won't recognize the previous data and settings.

Usage

The following command runs the BOINC client Docker container,

docker run -d \
  --name boinc \
  --net=host \
  -v /opt/appdata/boinc:/var/lib/boinc \
  -e BOINC_GUI_RPC_PASSWORD="123" \
  -e BOINC_CMD_LINE_OPTIONS="--allow_remote_gui_rpc" \
  boinc/client

You can attach a BOINC Manager to the client by launching the BOINC Manager, going to File > Select computer..., and entering the IP address of the PC running the Docker container in the "Host name" field (127.0.0.1 if running locally) as well as the password you set with BOINC_GUI_RPC_PASSWORD (here 123),

manager_connect

As usual, the client can also be controlled from the command line via the boinccmd command.

From the same computer as the one which is running the Docker container, you can issue commands via,

docker exec boinc boinccmd <args>

From other computers, you should use instead,

docker run --rm boinc/client boinccmd --host <host> --passwd 123 <args>

where <host> should be the hostname or IP address of the machine running the Docker container.

You are also free to run boinccmd natively if you have it installed, rather than via Docker.

Supported Architectures and Tags

You can specialize the boinc/client image with either of the following tags to use one of the specialized container version instead.

x86-64

Tag Info
latest, baseimage-ubuntu Ubuntu based BOINC client. All of our x86-64 images are based on this.
baseimage-alpine Alpine based BOINC client. IMPORTANT: Alpine uses musl instead of glibc, therefore projects might not support it.
amd AMD GPU-savvy BOINC client. Check the usage below.
intel Intel GPU-savvy BOINC client. It supports Broadwell (5th generation) CPUs and beyond. Check the usage below.
intel-legacy Legacy Intel GPU-savvy BOINC client (Sandybridge - 2nd Gen, Ivybridge - 3rd Gen, Haswell - 4th Gen). Check the usage below.
multi-gpu Intel & Nvidia-savvy BOINC client. Check the usage below.
nvidia NVIDIA-savvy (CUDA & OpenCL) BOINC client. Check the usage below.
virtualbox VirtualBox-savvy BOINC client. Check the usage below.

ARMv7 32-bit

Tag Info
arm32v7 ARMv7 32-bit savvy BOINC client. Check the usage below.

AMD GPU-savvy BOINC client usage

  • Install the ROCm Driver.
  • Reboot your system.
  • Run the following command.
docker run -d \
  --name boinc \
  --device /dev/dri:/dev/dri \
  --device /dev/kfd:/dev/kfd \
  --net=host \
  --group-add video \
  -v /opt/appdata/boinc:/var/lib/boinc \
  -e BOINC_GUI_RPC_PASSWORD="123" \
  -e BOINC_CMD_LINE_OPTIONS="--allow_remote_gui_rpc" \
  boinc/client:amd

Intel GPU-savvy BOINC client usage

  • Install the Intel GPU Driver.
  • Run the following command:
docker run -d \
  --name boinc \
  --device /dev/dri:/dev/dri \
  --net=host \
  -v /opt/appdata/boinc:/var/lib/boinc \
  -e BOINC_GUI_RPC_PASSWORD="123" \
  -e BOINC_CMD_LINE_OPTIONS="--allow_remote_gui_rpc" \
  boinc/client:intel

Legacy Intel GPU-savvy BOINC client usage

  • Install the Intel GPU Driver.
  • Run the following command:
docker run -d \
  --name boinc \
  --device /dev/dri:/dev/dri \
  --net=host \
  -v /opt/appdata/boinc:/var/lib/boinc \
  -e BOINC_GUI_RPC_PASSWORD="123" \
  -e BOINC_CMD_LINE_OPTIONS="--allow_remote_gui_rpc" \
  boinc/client:intel-legacy

Multi GPU-savvy BOINC client usage

  • Make sure you have installed the NVIDIA driver.
  • Install the NVIDIA-Docker version 2.0 by following the instructions here.
  • Run the following command:
docker run -d \
  --runtime=nvidia \
  --name boinc \
  --device /dev/dri:/dev/dri \
  --net=host \
  -v /opt/appdata/boinc:/var/lib/boinc \
  -e BOINC_GUI_RPC_PASSWORD="123" \
  -e BOINC_CMD_LINE_OPTIONS="--allow_remote_gui_rpc" \
  boinc/client:multi-gpu

NVIDIA-savvy BOINC client usage

  • Make sure you have installed the NVIDIA driver.
  • Install the NVIDIA-Docker version 2.0 by following the instructions here.
  • Run the following command:
docker run -d \
  --runtime=nvidia \
  --name boinc \
  --net=host \
  -v /opt/appdata/boinc:/var/lib/boinc \
  -e BOINC_GUI_RPC_PASSWORD="123" \
  -e BOINC_CMD_LINE_OPTIONS="--allow_remote_gui_rpc" \
  boinc/client:nvidia

VirtualBox-savvy BOINC client usage

  • Install the virtualbox-dkms package on the host.
  • Run the following command:
docker run -d \
  --name boinc \
  --device=/dev/vboxdrv:/dev/vboxdrv \
  --net=host \
  -v /opt/appdata/boinc:/var/lib/boinc \
  -e BOINC_GUI_RPC_PASSWORD="123" \
  -e BOINC_CMD_LINE_OPTIONS="--allow_remote_gui_rpc" \
  boinc/client:virtualbox

ARMv7 32-bit savvy BOINC client usage

docker run -d \
  --name boinc \
  --net=host \
  -v /opt/appdata/boinc:/var/lib/boinc \
  -e BOINC_GUI_RPC_PASSWORD="123" \
  -e BOINC_CMD_LINE_OPTIONS="--allow_remote_gui_rpc" \
  boinc/client:arm32v7

Swarm mode

You can use a Docker Swarm to launch a large number of clients, for example across a cluster that you are using for BOINC computation. First, start the swarm and create a network,

docker swarm init
docker network create -d overlay --attachable boinc

If you want, you can connect other nodes to your swarm by running the appropriate docker swarm join command on worker nodes as prompted above (although you can just run on one node too).

Then launch your clients,

docker service create \
  --replicas <N> \
  --name boinc \
  --network=boinc \
  -p 31416 \
  -e BOINC_GUI_RPC_PASSWORD="123" \
  -e BOINC_CMD_LINE_OPTIONS="--allow_remote_gui_rpc" \
  boinc/client

You now have <N> clients running, distributed across your swarm. You can issue commands to all of your clients via,

docker run --rm --network boinc boinc/client boinccmd_swarm --passwd 123 <args>

Note you do not need to specify --host. The boinccmd_swarm command takes care of sending the command to each of the hosts in your swarm.

Parameters

When running the client, the following parameters are available (split into two halves, separated by a colon, the left hand side representing the host and the right the container side).

Parameter Function
-e BOINC_GUI_RPC_PASSWORD="123" The password what you need to use, when you connect to the BOINC client.
-e BOINC_CMD_LINE_OPTIONS="--allow_remote_gui_rpc" The --allow_remote_gui_rpc command-line option allows connecting to the client with any IP address. If you don't want that, you can remove this parameter, but you have to use the -e BOINC_REMOTE_HOST="IP".
-v /opt/appdata/boinc:/var/lib/boinc The path where you wish BOINC to store its configuration data.
-e BOINC_REMOTE_HOST="IP" Replace the IP with your IP address. In this case you can connect to the client only from this IP.

Docker Compose

You can create the following docker-compose.yml file and from within the same directory run the client with docker-compose up -d to avoid the longer command from above.

version: '2'
services:

  boinc:
    image: boinc/client
    container_name: boinc
    restart: always
    network_mode: host
    volumes:
      - /opt/appdata/boinc:/var/lib/boinc
    environment:
      - BOINC_GUI_RPC_PASSWORD=123
      - BOINC_CMD_LINE_OPTIONS=--allow_remote_gui_rpc

More Info

  • How to build it yourself: docker build -t boinc/client -f Dockerfile.baseimage-ubuntu .
  • Shell access whilst the container is running: docker exec -it boinc /bin/bash
  • Monitor the logs of the container in realtime: docker logs -f boinc

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