JUSTUS2/Software/Singularity: Difference between revisions

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print("Num GPUs Available: ",len(tf.config.experimental.list_physical_devices("GPU")))'
print("Num GPUs Available: ",len(tf.config.experimental.list_physical_devices("GPU")))'
</pre>
</pre>


Use the NGC environment modules:
<pre>
$ srun --nodes=1 --exclusive --gres=gpu:2 --pty bash
$ WORKSPACE=`ws_allocate npc 3`
$ cd $WORKSPACE
$ export NGC_IMAGE_DIR=$(pwd)
$ module load ngc/.numlib
$ module load 20.12-tf2-py3
$ python3
>>> import tensorflow as tf
>>> print("Num GPUs Available:",len(tf.config.experimental.list_physical_devices("GPU")))
>>> quit()
$ module unload 20.12-tf2-py3
$ module unload ngc/.numlib
</pre>



Run a GROMACS container with Singularity:
Run a GROMACS container with Singularity:

Revision as of 21:14, 20 March 2021

Description Content
module load ---
Availability BwForCluster_JUSTUS_2
License Open-source software, distributed under the 3-clause BSD License. More...
Citing ---
Links Homepage | Documentation
Graphical Interface No

Description

Singularity is a container platform.

License

Singularity is free, open-source software released under the 3-clause BSD license. Please read the license for additional information about Singularity.

Usage

Usage: singularity [global options...]

Options:
  -c, --config string   specify a configuration file (for root or unprivileged installation only) (default
                        "/etc/singularity/singularity.conf")
  -d, --debug           print debugging information (highest verbosity)
  -h, --help            help for singularity
      --nocolor         print without color output (default False)
  -q, --quiet           suppress normal output
  -s, --silent          only print errors
  -v, --verbose         print additional information
      --version         version for singularity

Available Commands:
  build       Build a Singularity image
  cache       Manage the local cache
  capability  Manage Linux capabilities for users and groups
  config      Manage various singularity configuration (root user only)
  delete      Deletes requested image from the library
  exec        Run a command within a container
  help        Help about any command
  inspect     Show metadata for an image
  instance    Manage containers running as services
  key         Manage OpenPGP keys
  oci         Manage OCI containers
  plugin      Manage Singularity plugins
  pull        Pull an image from a URI
  push        Upload image to the provided URI
  remote      Manage singularity remote endpoints, keyservers and OCI/Docker registry credentials
  run         Run the user-defined default command within a container
  run-help    Show the user-defined help for an image
  search      Search a Container Library for images
  shell       Run a shell within a container
  sif         siftool is a program for Singularity Image Format (SIF) file manipulation
  sign        Attach digital signature(s) to an image
  test        Run the user-defined tests within a container
  verify      Verify cryptographic signatures attached to an image
  version     Show the version for Singularity

Examples:
  $ singularity help <command> [<subcommand>]
  $ singularity help build
  $ singularity help instance start

Examples

Build a TensorFlow container with Singularity and execute a Python command inside the container:

# request an interactive node with GPUs
$ srun --nodes=1 --exclusive --gres=gpu:2 --pty bash

# build container
$ singularity build tensorflow-20.11-tf2-py3.sif docker://nvcr.io/nvidia/tensorflow:20.11-tf2-py3

# execute Python command
$ singularity exec --nv tensorflow-20.11-tf2-py3.sif python -c 'import tensorflow as tf; \
  print("Num GPUs Available: ",len(tf.config.experimental.list_physical_devices("GPU")))'


Use the NGC environment modules:

$ srun --nodes=1 --exclusive --gres=gpu:2 --pty bash
$ WORKSPACE=`ws_allocate npc 3`
$ cd $WORKSPACE
$ export NGC_IMAGE_DIR=$(pwd)
$ module load ngc/.numlib
$ module load 20.12-tf2-py3
$ python3
>>> import tensorflow as tf
>>> print("Num GPUs Available:",len(tf.config.experimental.list_physical_devices("GPU")))
>>> quit()
$ module unload 20.12-tf2-py3
$ module unload ngc/.numlib


Run a GROMACS container with Singularity:

$ WORKSPACE=`ws_allocate gromacs 3`                                         # allocate workspace
$ cd $WORKSPACE                                                             # change to workspace
$ singularity pull gromacs-2020_2.sif docker://nvcr.io/hpc/gromacs:2020.2   # pull container from NGC
$ cp -r /opt/bwhpc/common/chem/ngc/gromacs/ ./bwhpc-examples/               # copy example to workspace
$ cd ./bwhpc-examples                                                       # change to example directory
$ sbatch gromacs-2020.2_gpu.slurm                                           # submit job
$ squeue                                                                    # obtain JOBID
$ scontrol show job <JOBID>                                                 # check state of job

More examples are located at /opt/bwhpc/common/chem/ngc on JUSTUS 2.

Useful links