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TAMU HPC Containers

The following repository contains the code, examples, and documentation for running HPC compliant containers on Texas A&M's HPC Clusters. This repository originated from the workshop "Containers for HPC Reproducibility: Building, Deploying, and Optimizing" presented at the SEVENTH ANNUAL TEXAS A&M RESEARCH COMPUTING SYMPOSIUM on Tuesday May 21, 2024 -


Seventh Annual Texas A&M Research Computing Symposium - "Containers for HPC Reproducibility: Building, Deploying, and Optimizing"

To build the containers in this example you'll need docker installed locally:

Note - You'll probably need a good 20-40 GB of disk space free to comfortably build containers locally without having to clear your cache repeatedly.

Furthermore you'll need to create a profile on Docker Hub, and create an image repository for it - https://hub.docker.com

Setting up Tutorial Environment

On Faster, you're going to want to create a folder on scratch to store everything

cd $SCRATCH
mkdir container_workshop
cd container_workshop
pwd
export TRAINING=/scratch/training/singularity
ls $TRAINING

ls $TRAINING

Singularity Tutorial

Here's a markdown tutorial with slides separated by '---', including the provided content with appropriate bash code blocks:


Singularity Image Formats

Singularity container images come in two main formats:

  1. Directory
  2. Single file. Singularity uses the SIF format for single file images. This is the default.

The singularity build tool can convert images in both formats.

singularity build --help

The --sandbox option is used to create directory-format images.


Singularity Image Exercise

singularity pull can fetch an image and write to either file format (note the order of the arguments).

singularity pull almalinux.sif docker://almalinux:8

Singularity can convert an image to the directory file format. Use the --sandbox argument to specify the directory type (note the order of the arguments).

singularity build --sandbox $TMPDIR/almalinux almalinux.sif

Singularity Write Exercise

Directory images are writable. Simply add the --writable flag to your container command.

singularity shell --writable $TMPDIR/almalinux
mkdir /my_dir
exit

Are the changes still there?

singularity shell $TMPDIR/almalinux
ls /

Singularity Read-only Exercise

SIF files are safe for network file system /scratch.

singularity build --fakeroot my_almalinux.sif $TMPDIR/almalinux

Are the changes still there?

singularity shell my_almalinux.sif
ls /
exit

What about the --writable flag?

singularity shell --writable my_almalinux.sif

No.


Working with Containers


Launching Processes

Singularity has three methods for launching processes:

  • Interactive: singularity shell
  • Batch processing: singularity exec
  • Container-as-executable: singularity run

Singularity Run Exercise

singularity run will execute the default runscript, if one was defined. You may also execute the container directly.

singularity pull docker://hello-world
singularity run hello-world_latest.sif
./hello-world_latest.sif

Docker hello-world is a minimal image. This is all it can do.


Singularity Exec Exercise

singularity exec lets you access executables and other commands in a container. This is appropriate for batch jobs.

ACES nodes have Python 3.

python3 --version

Our singularity image has a different Python 3.

singularity exec scipy-notebook_latest.sif python3 --version

Working with Files

  • Filesystem inside a container is isolated from the real, physical filesystem.
  • To access your files, ensure the directory is mounted.
  • By default, Singularity will mount $HOME and $PWD if it can.
  • To specify additional directories, use the SINGULARITY_BINDPATH environment variable or the --bind command line option.

Working with Files Exercise

Recommended that you mount /scratch to get access to your data storage, and /tmp to get access to the local disk on the node.

singularity shell --bind "/scratch,/tmp" <image>
mkdir $TMPDIR/my_dir; exit
ls $TMPDIR

Notice that your variables like $TMPDIR get passed into the container by default.


Docker vs. Singularity Commands

Action Docker Command Popular Docker Flags Singularity Command Popular Singularity Flags
Build Image docker build -t <image_name> . -t (tag), -f (Dockerfile) singularity build <image.sif> <recipe> --sandbox, --writable
Tag Image docker tag <image_id> <repository:tag> N/A N/A N/A
Push Image docker push <repository:tag> N/A singularity push <image.sif> <library> N/A
Run Container docker run <image_name> -d (detached), -p (port), -v (volume) singularity run <image.sif> --bind, --contain
Execute Command docker exec -it <container_id> <command> -it (interactive terminal) singularity exec <image.sif> <command> --bind, --contain
List Images docker images N/A singularity images N/A
List Containers docker ps -a (all containers) singularity instance list N/A
Remove Image docker rmi <image_id> -f (force) singularity image rm <image.sif> N/A
Remove Container docker rm <container_id> -f (force) singularity instance stop <instance> N/A
Inspect Container docker inspect <container_id> N/A singularity inspect <image.sif> N/A
View Logs docker logs <container_id> -f (follow) singularity logs <instance> N/A

Notes:

  • Docker: Primarily used for building, tagging, pushing, running, and managing containers.
  • Singularity: Often used in HPC environments, supports running Docker images directly, and focuses on reproducibility and security.

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HPC Containers for Texas A&M University HPC Clusters

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