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HPC Workspace Data and Software Tools


HPC Workspace module provides support for user-friendly file system access, custom software stacks in HPC Workspaces, and SLURM accounting. The module can also be used to set up HOME for a custom software stack.

Workspace module

The Workspace module adjust the environment to work in a specific HPC Workspace.

module load Workspace
sets the following environment variables (Shortcuts) and Software stacks

There are the following possibilities:

  • you belong to no Workspace: load module load Workspace/home to use your software stack in your HOME directory
  • you belong to one Workspace: this Workspace gets loaded when module load Workspace
  • you belong to multiple Workspaces: you need to specify the Workspace to load using the variable $HPC_WORKSPACE. The module presents the possible options, e.g.:
    $ module load Workspace
    Workspaces are available:
        HPC_SW_test, hpc_training, 
    Please select and load ONE of the following:
        export HPC_WORKSPACE=HPC_SW_test; module load Workspace
        export HPC_WORKSPACE=hpc_training; module load Workspace
    • Thus you load a specific Workspace using:
      export HPC_WORKSPACE=<WorkspaceName>; module load Workspace


The workspace module provides the following variables:

$WORKSPACE full path to the Workspace. Thus, you can access the workspace using: cd $WORKSPACE
$SCRATCH full path to the Workspace SCRATCH directory. Thus you can access it using: cd $SCRATCH

SLURM Account

by loading the Workspace module by default the Workspace account is selected. Thus all jobs submitted without a specified --account will be submitted to this Workspace account.

Additional Settings

the module provides the following settings for a more user-friendly usage of applications. You may not need to use them directly, but tools like SLURM, Singularity, Python, and R will use them.

sets the SLURM account to the Workspace account. Thus all submitted jobs with that module are accounted to the Workspace account automatically. No need to set it in the sbatch script
$SINGULARITY_BINDPATH using singularity, the Workspace directory will be bind into the container without manual specification. The WORKSPACE variable as well as the SCRATCH variable will also be ported into the container. Thus, you can specify locations with $WORKSPACE or $SCRATCH within the container.
$PYTHONPATH if Python or Anaconda is loaded beforehand, it is set to: $WORKSPACE/PyPackages/lib/pythonXXX/site-packages where XXX is the Python major and minor version. And also add the bin directory to $PATH.
$PYTHONPACKAGEPATH if Python or Anaconda is loaded beforehand, it is set to: $WORKSPACE/PyPackages. This can be used for e.g. pip install --prefix $PYTHONPACKAGEPATH
$CONDA_ENVS_PATH therewith conda environments can be created and shared within the Workspace
$R_LIBS therewith additional R packages can be installed and searched in the shared Workspace. The directory need to be created first. See R page

Software stacks

Beside, a set of software packages we provide for our different CPU architecture, the Workspace module provides tools to install custom software stacks within your Workspace. Especially with EasyBuild shortcuts are provided to install and use custom software stacks easily build for all architectures.

For installing packages with EasyBuild, see EasyBuild description. Manual package can also be installed in the similar manner. Adding a Modulefile provides the users to load packages as used to. Please see Installing Custom Software.

As a result all users of the Workspace can use the software packages by loading the Workspace module and the software product module.

First load Python/Anaconda3

Python or Anaconda3 module need to be loaded before loading the Workspace module, since variables to be set depend on Python version. Workspace module can also be reloaded, e.g.:

export HPC_WORKSPACE=HPC_SW_test; module load Workspace
module load Python
module load Workspace

Conda environments

The Workspace module provides support for creating and using conda environments in the shared Workspace. See Anaconda Conda environments.

R packages

The Workspace module provides support for installing and using additional R packages in the shared Workspace. Thus a package once installed by one user can be used by all Workspace members. See R installing packages.


The Workspace module sets the umask to 002. Thus files and directories get group-writeable, e.g.:

-rw-rw-r-- 1 user group 0 Mar 15 15:15 /path/to/file