Table of Contents
Modules & Application Software
The number of software packages that are installed together with the operating system on cluster nodes is kept light on purpose. Additional packages and applications are provided by a module system, which enables you to easily customise your working environment on the cluster. This module system is called Lmod1) . Furthermore, we can provide different versions of the software which you can use on demand. Loading a module, software specific settings are applied, e.g. changing environment variables like PATH, LD_LIBRARY_PATH and MANPATH.
Alternatively, you can manage software packages on the cluster yourself by building software from source, by means of EasyBuild or by using Singularity containers. Python packages can also be installed using the Conda manager. The first three possibilities, in addition to the module system, are described in the current section, whereas Conda usage in the cluster is explained in this section.
We have adopted a systematic software naming and versioning convention in conjunction with the software installation system EasyBuild 2) .
Software installation on the cluster utilizes a hierarchical software module naming scheme. This means that the command module avail does not display all installed software modules right away. Instead, only the modules that are immediately available for loading are displayed. More modules become available after their prerequisite modules are loaded. Specifically, loading a compiler module or MPI implementation module will make available all the software built with those applications. This way, he hope the prerequisites for certain software become apparent.
At the top level of the module hierarchy, there are modules for compilers, toolchains and software applications that come as a binary and thus do not depend on compilers. Toolchain modules organize compilers, MPI implementations and numerical libraries. Currently the following toolchain modules are available:
- Compiler only toolchains
GCC: GCC updated binutilsiccifort: Intel compilers, GCC
- Compiler & MPI toolchains
gompi:GCC, OpenMPIiimpi:iccifort, Intel MPIiompi:iccifort, OpenMPI
- Compiler & MPI & numerical libraries toolchains
foss:gompi, OpenBLAS, FFTW, ScaLAPACKintel:iimpi, Intel MKLiomkl:iompi, Intel MKL
Note that Intel compilers newer than 2020.x are provided by the toolchain module intel-compilers.
It is strongly recommended to use this module as after 2023 the intel compiler modules iccifort will be removed.
Working with modules
This section explains how to use software modules.
List the entire list of possible modules
module spider
The same in a more compact list
module -t spider
Search for specific modules that have “string” in their name
module spider string
Detailed information about a particular version of a module (including instructions on how to load the module)
module spider name/version
Searches for all module names and descriptions that contain the specified string
module key string
List modules immediately available to load
module avail
Some software modules are hidden from the avail and spider commands. These are mostly modules for system library packages that other user applications depend on. To list hidden modules, you may provide the –show-hidden option to the avail and spider commands:
module --show-hidden avail module --show-hidden spider
A hidden module has a dot (.) in front of its version numbers (eg. zlib/.1.2.8).
List currently loaded modules
module list
Load a specific version of a module
module load name/version
If only a name is given, the command will load the default version which is marked with a (D) in the module avail listing (usually the latest version). Loading a module may automatically load other modules it depends on.
It is not possible to load two versions of the same module at the same time.
To switch between different modules
module swap old new
To unload the specified module from the current environment
module unload name
To clean your environment of all loaded modules
module purge
Show what environment variables the module will set
module show name/version
Save the current list of modules to “name” collection for later use
module save name
Restore modules from collection “name”
module restore name
List of saved collections
module savelist
To get the complete list of options provided by Lmod through the command module type the following
module help
Exercise: Working with modules
As an example, we show how to load the gnuplot module.
List loaded modules
module list No modules loaded
Find available gnuplot versions
module -t spider gnuplot gnuplot/4.6.0 gnuplot/5.0.3
Determine how to load the selected gnuplot/5.0.3 module
module spider gnuplot/5.0.3
--------------------------------------------------------------------------------
gnuplot: gnuplot/5.0.3
--------------------------------------------------------------------------------
Description:
Portable interactive, function plotting utility - Homepage: http://gnuplot.sourceforge.net/
This module can only be loaded through the following modules:
GCC/4.9.3-2.25 OpenMPI/1.10.2
Help:
Portable interactive, function plotting utility - Homepage: http://gnuplot.sourceforge.net/
Load required modules
module load GCC/4.9.3-2.25 OpenMPI/1.10.2 Module for GCCcore, version .4.9.3 loaded Module for binutils, version .2.25 loaded Module for GCC, version 4.9.3-2.25 loaded Module for numactl, version .2.0.11 loaded Module for hwloc, version .1.11.2 loaded Module for OpenMPI, version 1.10.2 loaded
And finally load the selected gnuplot module
module load gnuplot/5.0.3 Module for OpenBLAS, version 0.2.15-LAPACK-3.6.0 loaded Module for FFTW, version 3.3.4 loaded Module for ScaLAPACK, version 2.0.2-OpenBLAS-0.2.15-LAPACK-3.6.0 loaded Module for bzip2, version .1.0.6 loaded Module for zlib, version .1.2.8 loaded ............. .............
In order to simplify the procedure of loading the gnuplot module, the current list of loaded modules can be saved in a “mygnuplot” collection (the name string “mygnuplot” is, of course, arbitrary) and then loaded again when needed as follows:
Save loaded modules to “mygnuplot”
module save mygnuplot Saved current collection of modules to: mygnuplot
If “mygnuplot” not is specified, the name “default” will be used.
Remove all loaded modules (or open a new shell)
module purge Module for gnuplot, version 5.0.3 unloaded Module for Qt, version 4.8.7 unloaded Module for libXt, version .1.1.5 unloaded ............ ............
List currently loaded modules. This selection is empty now.
module list No modules loaded
List saved collections
module savelist Named collection list: 1) mygnuplot
Load gnuplot module again
module restore mygnuplot Restoring modules to user's mygnuplot Module for GCCcore, version .4.9.3 loaded Module for binutils, version .2.25 loaded Module for GCC, version 4.9.3-2.25 loaded Module for numactl, version .2.0.11 loaded ............. .............
List of available software
In this section, you will find user guides for some of the software packages installed in the cluster. The guides provided can, of course, not replace documentation that comes with the application. Please read that as well.
A wide variety of application software is available in the cluster system. These applications are located on a central storage system that is accessible by the module system Lmod via an NFS export. Issue the command module spider on the cluster system or visit the page for a comprehensive list of available software. If you really need a different version of an already installed application, or one that is currently not installed, please get in touch. The main prerequisite for use of a software within the cluster system is its availability for Linux. Furthermore, if the application requires a license, we need to clarify additional questions.
Some select Windows applications can also be executed on the cluster system with the help of Wine or Singularity containers. For information on Singularity, see Singularity Containers.
Usage instructions
Build software from source code
Note: We recommend using EasyBuild (see next section) if you want to make your software's build process reproducible and accessible through a module environment that EasyBuild automatically creates. EasyBuild comes with pre-configured recipes for installing thousands of scientific applications.
Sub-clusters of the cluster system have different CPU architectures that provide different instruction set capabilities/extensions. The command lcpuarchs (available on the login nodes) lists all available CPU types.
login03:~$ lcpuarchs -v
CPU arch names Cluster partitions
-------------- ------------------
avx2 LUIS[haku,lena,vis,jhub]
FCH[ai,ai,ainlp,ainlp,gih,pci,fi,imuk,p4d,p4d]
avx512 LUIS[gpu,gpu,gpu,gpu.test,mpp.single,mpp.share,amo,taurus,smp,smp]
FCH[tnt,tnt,ai.h100,gih,isd,isd,isd,isd,stahl,iwes,iwes,enos,pcikoe,pcikoe,pcikoe,pcikoe,pcikoe,isu,phd,phdgpu,itp,itp,imes.gpu,imes]
LUIS - LUIS clusters. Availabe to all users around the clock
FCH - Research Cluster Housing nodes. Available to all users
on weekdays from 20:00 to 08:00 and on weekends
CPU of this machine: avx512
For more verbose output type: lcpuarchs -vv
The technical sequence of these architectures is (oldest)-sse-avx-avx2-avx512-(newest). Cpus capable of executing instructions from newer instruction sets usually are able to execute commands from older extensions, so e.g. avx512 includes sse.
Software compiled to use a newer cpu instruction set will usually not typically abort with an “Illegal instruction” error when run on an older cpu. The important message here is that compilers may automatically set flags for the platform you are currently working on. If you compile your program on a node providing avx512 instructions (e. g. the amo sub-cluster) using the gcc compiler option -march=native, the program will usually not run on older nodes that are only equipped with cpus providing, say, avx instructions. To check which instruction set extensions a cpu architecture provides, you can run the command “lscpu”, which lists them in the “flags” section.
This section explains how to build a software on the cluster system to avoid the aforementioned issue if you want to be able to submit jobs to all compute nodes without specifying the CPU type. Beware, though, that compatibility usually comes at a price and allowing a compiler to use the newer instruction sets will usually boost performance. Depending on your workload, the effects/speedup on newer cpu architectures may even be called “drastic”. But there's usually no better way to tell than testing.
In the example below we want to compile a sample software my-soft in version 3.1.
In your HOME (or, perhaps better, in your $SOFTWARE directory, if all members of your project want to use the software) directory, create build/install directories for each available CPU architecture listed by the command lcpuarchs -s, as well as a directory source to storing the installation sources
Note: you can usually refer to a variable using $variable_name and all will be well. In the following examples, however, we demonstrate the use of curly brackets around the variable's designator, which will ensure proper separation of variables even in case of ambiguities (which in theory could occur in long paths composed out of several variables). For all normal purposes, $HOME and ${HOME} or $LUIS_CPU_ARCH and ${LUIS_CPU_ARCH} will be equivalent. If, however, you use spaces in your directories (like dir=“my directory”), this will not be sufficient, you'll then also need to put double quotation marks “ around the variable (like in cd “${dir}”).
login03:~$ mkdir -p ${HOME}/sw/source
login03:~$ eval "mkdir -p ${HOME}/sw/{$(lcpuarchs -ss)}/my-soft/3.1/{build,install}"
Copy software installation archive to the source directory
login03:~$ mv my-soft-3.1.tar.gz ${HOME}/sw/source
Build my-soft for each available CPU architecture by submitting an interactive job to each compute node type requesting the proper CPU type. For example, to compile my-soft for avx512 nodes, first submit an interactive job requesting the avx512 feature:
login03:~$ salloc --nodes=1 --constraint=CPU_ARCH:avx512 --cpus-per-task=4 --time=6:00:00 --mem=16G
Then unpack and build the software. Note the environment variable ${LUIS_CPU_ARCH} that contains the cpu instruction set of the compute node reserved.
taurus-n034:~$ tar -zxvf ${HOME}/sw/source/my-soft-3.1.tgz -C $HOME/sw/${LUIS_CPU_ARCH}/my-soft/3.1/build
taurus-n034:~$ cd ${HOME}/sw/${LUIS_CPU_ARCH}/my-soft/3.1/build
taurus-n034:~$ ./configure --prefix=${HOME}/sw/${LUIS_CPU_ARCH}/my-soft/3.1/install && make && make install
Finally, use the environment variable ${LUIS_CPU_ARCH} in your job scripts to access the correct installation path of
my-soft executable for the current compute node. Note that you may need to set/update the ${LD_LIBRARY_PATH} environment variable to point to the location of your software's shared libraries.
- my-soft-job.sh
#!/bin/bash -l #SBATCH --job-name=my-soft #SBATCH --nodes=1 #SBATCH --ntasks-per-node=16 #SBATCH --mem=60G #SBATCH --time=12:00:00 #SBATCH --constraint="[CPU_ARCH:avx512|CPU_ARCH:avx2]" #SBATCH --output my-soft-job_%j.out #SBATCH --error my-soft-job_%j.err #SBATCH --mail-user=myemail@....uni-hannover.de #SBATCH --mail-type=BEGIN,END,FAIL # Change to work dir cd ${SLURM_SUBMIT_DIR} # Load modules module load my_necessary_modules # run my_soft export LD_LIBRARY_PATH=${HOME}/sw/${LUIS_CPU_ARCH}/my-soft/3.1/install/lib:${LD_LIBRARY_PATH} srun $HOME/sw/${LUIS_CPU_ARCH}/my-soft/3.1/install/bin/my-soft.exe --input file.input
You can certainly consider combining the software build and execution steps into a single batch job script. However, it is recommended that you first perform the build steps interactively before adding them to a job script to ensure the software compiles without errors. For example, such a job script might look like this:
- my-soft-job.sh
#!/bin/bash -l #SBATCH --job-name=my-soft #SBATCH --nodes=1 #SBATCH --ntasks-per-node=32 #SBATCH --mem=120G #SBATCH --time=12:00:00 #SBATCH --constraint=CPU_ARCH:avx512 #SBATCH --output my-soft-job_%j.out #SBATCH --error my-soft-job_%j.err #SBATCH --mail-user=myemail@....uni-hannover.de #SBATCH --mail-type=BEGIN,END,FAIL # Change to work dir cd ${SLURM_SUBMIT_DIR} # Load modules module load my_necessary_modules # install software if the executable does not exist [ -e "${HOME}/sw/${LUIS_CPU_ARCH}/my-soft/3.1/install/bin/my-soft.exe" ] || { mkdir -p ${HOME}/sw/${LUIS_CPU_ARCH}/mysof/3.1/{build,install} tar -zxvf ${HOME}/sw/source/my-soft-3.1.tgz -C ${HOME}/sw/${LUIS_CPU_ARCH}/my-soft/3.1/build cd $HOME/sw/${LUIS_CPU_ARCH}/my-soft/3.1/build ./configure --prefix=${HOME}/sw/${LUIS_CPU_ARCH}/my-soft/3.1/install make make install } # run my_soft export LD_LIBRARY_PATH=${HOME}/sw/${LUIS_CPU_ARCH}/my-soft/3.1/install/lib:${LD_LIBRARY_PATH} srun ${HOME}/sw/${LUIS_CPU_ARCH}/my-soft/3.1/install/bin/my-soft.exe --input file.input
EasyBuild
Note: If you want to manually build the software from source code, please refer to the section above.
EasyBuild is a software build and installation framework that allows you to manage (scientific) software on High Performance Computing (HPC) systems in an efficient way.
EasyBuild framework
The EasyBuild framework is available in the cluster through the module EasyBuild-custom. This module defines the location of the EasyBuild configuration files, recipes and installation directories. You can load the module using the command:
module load EasyBuild-custom
EasyBuild software and modules will be installed by default under the following directory:
$HOME/my.soft/software/${LUIS_CPU_ARCH}
$HOME/my.soft/modules/${LUIS_CPU_ARCH}
Here, the variable ARCH, which stores the CPU type of the machine on which the above module load command was executed, will currently be either haswell, sandybridge or skylake. The command lcpuarchs executed on the cluster login nodes lists all currently available values of ARCH. You can override the default software and module installation directory, and the location of your EasyBuild configuration files (MY_EASYBUILD_REPOSITORY) by exporting the following environment variables before loading the EasyBuild module:
export EASYBUILD_INSTALLPATH=/your/preferred/installation/dir export MY_EASYBUILD_REPOSITORY=/your/easybuild/repository/dir module load EasyBuild-custom
If other project members should also have access to the software, the recommended location is a subdirectory in $SOFTWARE.
How to build your software
After you load the EasyBuild environment as explained in the section above, you will have the command eb available to build your code using EasyBuild. If you want to build the code using a given configuration <filename>.eb and resolving dependencies, you will use the flag -r as in the example below:
eb <filename>.eb -r
The build command just needs the configuration file name with the extension .eb and not the full path, provided that the configuration file is in your search path: the command eb --show-config will print the variable robot-paths that holds the search path. More options are available - please have a look at the short help message typing eb -h. For instance, using the search flag -S, you can check if any EasyBuild configuration file already exists for a given program name:
eb -S <program_name>
You will be able to load the modules created by EasyBuild in the directory defined by the EASYBUILD_INSTALLPATH variable using the following commands:
module use $EASYBUILD_INSTALLPATH/modules/${LUIS_CPU_ARCH}/all
module load <modulename>/version
The command module use will prepend the selected directory to your MODULEPATH environment variable, therefore the command module avail will show modules of your software as well.
If you want the software module to be automatically available when opening a new shell in the cluster, modify your ~/.bashrc file as follows:
echo 'export EASYBUILD_INSTALLPATH=/your/preferred/installation/dir' >> ~/.bashrc
echo 'module use $EASYBUILD_INSTALLPATH/modules/${LUIS_CPU_ARCH}/all' >> ~/.bashrc
Note that to preserve the dollar sign in the second line above, the string must be enclosed in single quotes.
