Convert Dockerfile for Nvidia Container Toolkit. Expose "POWER" option.
This commit is contained in:
wandhydrant
parent
8074f0f173
commit
15c3884984
32
Dockerfile
32
Dockerfile
|
|
@ -1,21 +1,32 @@
|
|||
FROM debian:stable-slim
|
||||
FROM nvidia/cuda:10.2-base-ubuntu18.04
|
||||
|
||||
ARG version="v7.5"
|
||||
|
||||
RUN useradd --system folding && \
|
||||
RUN apt-get update && apt-get install -y --no-install-recommends \
|
||||
# Install PPA dependency
|
||||
software-properties-common \
|
||||
# Install Time Zone Database
|
||||
tzdata && \
|
||||
# Install folding@home client
|
||||
useradd --system folding && \
|
||||
mkdir -p /opt/fahclient && \
|
||||
# download and untar
|
||||
# download and untar
|
||||
apt-get update -y && \
|
||||
apt-get install -y wget bzip2 && \
|
||||
wget https://download.foldingathome.org/releases/public/release/fahclient/debian-stable-64bit/${version}/latest.tar.bz2 -O /tmp/fahclient.tar.bz2 && \
|
||||
tar -xjf /tmp/fahclient.tar.bz2 -C /opt/fahclient --strip-components=1 && \
|
||||
# fix permissions
|
||||
# fix permissions
|
||||
chown -R folding:folding /opt/fahclient && \
|
||||
# cleanup
|
||||
# cleanup
|
||||
rm -rf /tmp/fahclient.tar.bz2 && \
|
||||
apt-get purge -y wget bzip2 && \
|
||||
# Install Nvidia OpenCL
|
||||
add-apt-repository -y ppa:graphics-drivers && \
|
||||
apt-get update && apt-get install -y --install-recommends \
|
||||
nvidia-opencl-dev && \
|
||||
# Cleaning up
|
||||
apt-get remove -y software-properties-common && \
|
||||
apt-get autoremove -y && \
|
||||
apt-get clean autoclean && \
|
||||
apt-get autoremove --yes && \
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
|
||||
COPY --chown=folding:folding entrypoint.sh /opt/fahclient
|
||||
|
|
@ -24,8 +35,9 @@ RUN chmod +x /opt/fahclient/entrypoint.sh
|
|||
|
||||
ENV USER "Anonymous"
|
||||
ENV TEAM "0"
|
||||
ENV ENABLE_GPU "false"
|
||||
ENV ENABLE_GPU "true"
|
||||
ENV ENABLE_SMP "true"
|
||||
ENV POWER "full"
|
||||
|
||||
USER folding
|
||||
WORKDIR /opt/fahclient
|
||||
|
|
@ -33,4 +45,6 @@ WORKDIR /opt/fahclient
|
|||
EXPOSE 7396
|
||||
EXPOSE 36330
|
||||
|
||||
ENTRYPOINT ["/opt/fahclient/entrypoint.sh"]
|
||||
ENTRYPOINT ["/opt/fahclient/entrypoint.sh"]
|
||||
|
||||
|
||||
|
|
|
|||
106
README.md
106
README.md
|
|
@ -1,48 +1,70 @@
|
|||
# Folding@Home Docker
|
||||
# Folding@Home Dockerfile for Nvidia GPUs
|
||||
|
||||
Folding@home is a project focused on disease research. The problems we’re solving require so many computer calculations – and we need your help to find the cures!
|
||||
Folding@home is a project focused on disease research.
|
||||
Right now, to the best of my knowledge, they are the
|
||||
only GPU-based distributed computing project who
|
||||
are running calculations against Coronavirus.
|
||||
|
||||
Here is a combination of [Nikolay Yurin's Folding@home Dockerfile](https://github.com/yurinnick/folding-at-home-docker)
|
||||
and the [BOINC Nvidia Dockerfile](https://github.com/BOINC/boinc-client-docker),
|
||||
so that you have an additional layer of sandboxing around
|
||||
GPU computations of Folding@home. In case you are allowed
|
||||
to use other people's computers, or your employer's,
|
||||
using Docker containers might even be a requirement.
|
||||
|
||||
## Usage
|
||||
|
||||
### docker
|
||||
### Build the image locally
|
||||
|
||||
I did not set up anything pre-built on the Docker hub.
|
||||
|
||||
Please inspect the Dockerfile and build the image yourself:
|
||||
|
||||
```
|
||||
docker run \
|
||||
cd <git-checkout>
|
||||
docker build -t my-fah-nvidia-image .
|
||||
```
|
||||
|
||||
### and run it:
|
||||
|
||||
GPU access by containers went through several stages:
|
||||
first direct export of /dev/dri and other devices; then
|
||||
solutions with Docker "runtimes" (nvidia-docker v1
|
||||
and v2); the current variant is the Nvidia Container
|
||||
Toolkit. The latter is the only one I tested this with.
|
||||
|
||||
As for the BOINC Nvidia container, please:
|
||||
|
||||
1. Install Docker (19.03 or later);
|
||||
|
||||
2. Install the Nvidia drivers (so that "nvidia-smi" gives you output on the host);
|
||||
|
||||
3. Install the [Nvidia Container Toolkit](https://github.com/NVIDIA/nvidia-docker) (see "Usage" on the linked page to test nvidia-smi in a container).
|
||||
|
||||
Finally you can run this container:
|
||||
|
||||
```
|
||||
docker run -d \
|
||||
--name folding-at-home \
|
||||
-p 7396:7396 \
|
||||
-p 36330:36330 \
|
||||
--gpus all \
|
||||
-h node \
|
||||
-e USER=Anonymous \
|
||||
-e TEAM=0 \
|
||||
-e ENABLE_GPU=false \
|
||||
-e ENABLE_GPU=true \
|
||||
-e ENABLE_SMP=true \
|
||||
--restart unless-stopped \
|
||||
yurinnick/folding-at-home
|
||||
my-fah-nvidia-image \
|
||||
--allow 0/0 --web-allow 0/0
|
||||
```
|
||||
|
||||
### docker-compose
|
||||
``-h node`` sets an anonymous hostname instead of copying yours.
|
||||
|
||||
The last line means that Folding@home's web access will let everybody in,
|
||||
but as the port is not exported, you can use it only from the Docker host,
|
||||
pointing your browser at the container:
|
||||
|
||||
```
|
||||
---
|
||||
version: "3"
|
||||
services:
|
||||
folding-at-home:
|
||||
image: yurinnick/folding-at-home
|
||||
container_name: folding-at-home
|
||||
environment:
|
||||
- USER=Anonymous
|
||||
- TEAM=0
|
||||
- ENABLE_GPU=false
|
||||
- ENABLE_SMP=true
|
||||
ports:
|
||||
- 7396:7396
|
||||
- 36330:36330
|
||||
restart: unless-stopped
|
||||
```
|
||||
|
||||
### Kubernetes
|
||||
|
||||
```
|
||||
TDB
|
||||
echo http://$(docker inspect --format "{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}" folding-at-home):7396
|
||||
```
|
||||
|
||||
## Parameters
|
||||
|
|
@ -50,30 +72,12 @@ TDB
|
|||
- USER - Folding@home username (default: Anonymous)
|
||||
- TEAM - Foldinghome team number (default: 0)
|
||||
- PASSKEY - [optional] Folding@home [passkey](https://apps.foldingathome.org/getpasskey)
|
||||
- ENABLE_GPU - Enable GPU compute (default: false)
|
||||
- ENABLE_GPU - Enable GPU compute (default: true)
|
||||
- ENABLE_SMP - Enable auto-configuration of SMP slots (default: true)
|
||||
- POWER - by default "full"; but you might want to switch to "medium" and see how hot your hardware gets (especially laptops). "light" did not use the GPU at all for me. You can always switch this in the web interface.
|
||||
|
||||
Additional configuration parameters can be passed as command line arguments. To get the full list of parameters run:
|
||||
|
||||
```
|
||||
docker run yurinnick/folding-at-home:latest --help
|
||||
docker run my-fah-nvidia-image --help
|
||||
```
|
||||
|
||||
## Web Interface
|
||||
|
||||
Web interface is locked to `localhost` by default, to enable remote access run:
|
||||
|
||||
```
|
||||
docker run \
|
||||
--name folding-at-home \
|
||||
-p 7396:7396 \
|
||||
-p 36330:36330 \
|
||||
-e USER=Anonymous \
|
||||
-e TEAM=0 \
|
||||
-e ENABLE_GPU=false \
|
||||
-e ENABLE_SMP=true \
|
||||
--restart unless-stopped \
|
||||
yurinnick/folding-at-home \
|
||||
--allow 0/0 \
|
||||
--web-allow 0/0
|
||||
```
|
||||
|
|
@ -1,15 +0,0 @@
|
|||
---
|
||||
version: "3"
|
||||
services:
|
||||
folding-at-home:
|
||||
image: yurinnick/folding-at-home
|
||||
container_name: folding-at-home
|
||||
environment:
|
||||
- USER=Anonymous
|
||||
- TEAM=0
|
||||
- ENABLE_GPU=false
|
||||
- ENABLE_SMP=true
|
||||
ports:
|
||||
- 7396:7396
|
||||
- 36330:36330
|
||||
restart: unless-stopped
|
||||
|
|
@ -7,6 +7,6 @@ set -e
|
|||
--passkey="${PASSKEY}" \
|
||||
--gpu="${ENABLE_GPU}" \
|
||||
--smp="${ENABLE_SMP}" \
|
||||
--power=full \
|
||||
--power="${POWER}" \
|
||||
--gui-enabled=false \
|
||||
"${@}"
|
||||
|
|
|
|||
Loading…
Reference in a new issue