Introduction to MonARCH

MonARCH Compute Nodes

MonARCH (Monash Advanced Research Computing Hybrid) is the next-generation HPC/HTC Cluster, designed from the ground up to address the emergent and future needs of the research communities supported by Monash.

A key feature of MonARCH is that it is provisioned through R@CMon, the Research Cloud @ Monash facility. Through the use of advanced cloud technology, MonARCH is able to configure and grow dynamically. As with any HPC cluster, MonARCH presents a single point-of-access to computational researchers to run calculations on its constituent servers.

MonARCH aims to continually develop over time. Currently, it consists of 35 servers under two complementary hardware specifications:

  • high-core servers - two Haswell CPU sockets with a total of 24 physical cores (or 48 hyperthreaded cores) at 2.80 GHz
  • high-speed servers - two Haswell CPU sockets with a total of 16 physical cores (or 32 hyperthreaded cores) at 3.20 GHz

For data storage, we have deployed a parallel file system service using Intel Enterprise Lustre; providing over 300 TB usable storage with room for future expansion.

The MonARCH service is operated by the Monash HPC team and continuing technical and operational support from the R@CMon team, this includes technical staff from both the Monash eResearch Centre and Monash eSolutions.

If you have found the MonARCH useful for your research, we will be very grateful if you kindly acknowledge us with a text along the lines of:

This research was supported in part by the Monash eResearch Centre and eSolutions-Research Support Services through the use of the MonARCH HPC Cluster.

How to Access MonARCH

To access MonARCH you will need to

  • Create a username and password for the Monash HPC systems
  • Request access to the MonARCH resource
  • Use SSH or Strudel to access MonARCH

Apply for access to Monash HPC systems and MonARCH

  1. From a web browser, visit The Monash HPC Identity Management System

This web page will bootstrap your Monash HPC account using information provided by your Institution and the AAF.

Depending on your settings, usually the next step will be to select your institution, in this example, "Monash University".

Screen shot of the AAF Discovery Service

2: You will be redirected to your institutions secure Identity Provider service. You should enter your institutional username and password to authenticate to your institution. In the background, your institution will tell us information like your Name and email address (but never your password). Depending on your settings, you may be asked to approve your institution telling us this information.

Screen shot of the Monash AAF Identity Provider

3: The next step is Username Selection. You will be presented with a list of available usernames, It is important to note that this username is not necessarily the same as your institute username. This username is for SSH and SCP access to the MonARCH login node.

In the example below, the user's University username is "authcate" but their username for MonARCH is "demo1".

Screen shot of HPC Id selecting a username

4: Apply to access MonARCH. Select the "Use MonARCH" option.

This will send a request to the MonARCH team to approve access to the cluster.

Screen shot of HPC ID system showing a pending application

The above screen-grab shows that the application is pending for approval.

The application will the go through an approval process. First the project leader will approve the application, then the administrators will approve the application While the approval process is ongoing, if you click on the "Applications" button you should see something like this:

![Screen show of HPC ID system in waiting for admin state)(images/wait_admin.jpg)

Once the application has been approved, you'll receive an email and be able to move onto the next step.

5: Change your MonARCH cluster password. Note that this DOES NOT change your Institutional password. Choose "Personal" and click "Change Password".

Important: This DOES NOT change or affect your Institutional password. This password is for SSH and SCP access to the cluster.

Screen shot of the HPC Id system showing how to
change a password

Accessing MonARCH

Using SSH

You will need to use ssh (secure-shell) to login to the head node. This program encrypts your interactions with the server. How to get and use ssh depends upon your desktop operating system.

Linux and MacOS

Linux and MacOS both have SSH built in. Simply open a terminal and type


where username is the selected username from Step 3. In the above example, the username is "demo1", so:


Microsoft Windows

ssh is not native to Windows, but you can download several free versions. Many Monash PCs have a version of ssh installed already on them.


You can download putty from the putty website Once installed you run putty:

Start->All Programs->PuTTY->PuTTY

Select “Session:” on the left pane.

In the text box on the right pane labelled "Host Name (or IP address)" enter

Click open. You will be prompted for your username and password. These are the username and password you set for the Monash HPC ID system, not your institutional username and password.



MonARCH uses the SLURM scheduler for running jobs. The home page for SLURM is, and it is used in many computing systems, such as MASSIVE and VLSCI. SLURM is an open-source workload manager designed for Linux clusters of all sizes. It provides three key functions.

  • It allocates exclusive and/or non-exclusive access to resources (computer nodes) to users for some duration of time so they can perform work.
  • It provides a framework for starting, executing, and monitoring work (typically a parallel job) on a set of allocated nodes.
  • It arbitrates contention for resources by managing a queue of pending work.

The following material will explain how users can use SLURM. At the bottom of the page there is a PBS, SGE comparison section.

SLURM Glossary

It is important to understand that some SLURM syntax have meanings which may differ from syntax in other batch or resource schedulers.

Term Description
Resource A mix of CPUs, memory and time
Task A task under SLURM is a synonym for a process, and is often the number of MPI processes that are required
Partition SLURM groups nodes into sets called partitions. Jobs are submitted to a partition to run. In other batch systems the term queue is used
Account The term account is used to describe the entity to which used resources are charged to
Batch jobs A chain of commands in a script file
Success A job completes and terminates well (with exit status 0) (cancelled jobs are not considered successful)
Failure Anything that lacks success
CPUs The term CPU is used to describe the smallest physical consumable, and for multi-core machines this will be the core. For multi-core machines where hyper-threading is enabled this will be a hardware thread.
Node A node contains one or more sockets
Socket A socket contains one processor
Processor A processor contains one or more cores
Core A CPU core

SLURM Shell Commands

Users submit jobs to the MonARCH using SLURM commands called from the Unix shell (such as bash, or csh). Typically a user creates a batch submission script that specifies what computing resources they want from the cluster, as well as the commands to execute when the job is running. They then use sbatch filename to submit the job. Users can kill, pause and interrogate the jobs they are running. Here is a list of common commands:

Commands to submit/delete a job in the queue

Command Description
sbatch sbatch is used to submit a job script for later execution. The script will typically contain one or more srun commands to launch parallel tasks.
scancel Deletes a job from the queue, or stops it running.

Commands to run an executable

Command Description
srun srun should be used to execute each program in your job script. It supersedes mpirun and is capable of starting highly parallel jobs much faster than mpirun

Examining and Controlling the queue

Command Description
sinfo reports the state of partitions and nodes managed by Slurm. It has a wide variety of filtering, sorting, and formatting options.
squeue reports the state of jobs or job steps. It has a wide variety of filtering, sorting, and formatting options. By default, it reports the running jobs in priority order and then the pending jobs in priority order.
scontrol Report or modify details of a job
sinteractive It is possible to run a job as an interactive session using ' sinteractive '. The program hangs until the session is scheduled to run, and then the user is logged into the compute node. Exiting the shell (or logging out) ends the session and the user is returned to the original node.

Viewing job metrics

Command Description
sacct The command sacct shows metrics from past jobs.
sstat The command sstat shows metrics from currently running jobs when given a job number. Note, you need to launch jobs with srun to get this information.

More on Shell Commands

Users have several ways of getting information on shell commands.

  • The commands have man pages (via the unix manual). e.g. man sbatch
  • The commands have built-in help options, e.g. sbatch --help or sbatch --usage.
  • help print brief description
  • usage prints list of options
  • There are online manuals and information pages

Most commands have options in two formats:

  • single letter e.g. -N 1
  • verbose e.g. --nodes=1

Note the double dash -- in the verbose format. A non-­‐zero exit code indicates failure in a command.

Some default behaviours

  • SLURM processes launched with srun are not run under a shell, so none of the following are executed:
  • ~/.profile
  • ~/.baschrc
  • ~/.login
  • ~/.cshrc, etc
  • SLURM exports user environment by default (or --export=NONE)
  • SLURM runs in the current directory (no need to cd $PBS_O_WORKDIR)
  • SLURM combines stdout and stderr and outputs directly (and naming is different). The SLURM stdout /stderr file will be appended,not overwritten (if it exists)
  • SLURM is case insensitive (e.g. project names are lower case)
  • Use #SBATCH instead of #PBS in batch scripts

Batch Scripts

A job script has a header section which specifies the resources that are required to run the job as well as the commands that must be executed. An example script is shown below.

SBATCH --job-name=example
SBATCH --account=director100
SBATCH --partition=workq
SBATCH --time=01:00:00
SBATCH --ntasks=32
SBATCH --ntasks-per-node=16
SBATCH --cpus-per-task=1
SBATCH --export=NONE
module load intel
uname -a
srun uname -a

Here are some of the SLURM directives you can use in a batch script.

SLURM directive Description
--job-name=[job name] The job name for the allocation, defaults to the script name.
--account=[account name] Charge resources used to this account. A default account is configured for each user.
--partition=[partition name] Request an allocation on the specified partition. If not specified jobs will be submitted to the default partition.
--time=[time spec] The total walltime for the job allocation.
--array=[job spec] Submit a job array with the defined indices.
--dependency=[dependency list] Specify a job dependency.
--nodes=[total nodes] Specify the total number of nodes.
--ntasks=[total tasks] Specify the total number of tasks.
--ntasks-per-node=[ntasks] Specify the number of tasks per node.
--cpus-per-task=[ncpus] Specify the number of CPUs per task.
--ntasks-per-core=[ntasks] Specify the number of tasks per CPU core.
--export=[variable\ ALL\

NOTE: SLURM will copy the entire environment from the shell where a job is submitted from. This may break existing batch scripts that require a different environment than say a login environment. To guard against this --export=NONE can be specified for each batch script.

MonARCH Hardware Summary

There are two classes of compute nodes on MonARCH. They are broken into "High Speed" and "High Core Count" flavours.

  • config A: high-ish CPU clock speed, lower-core count, standard RAM

  • 16 physical cores or 32 HT cores ==> two Intel Xeon E5-2667 v3 3.2GHz, 20M Cache, 9.60GT/s QPI, Turbo, HT, 8C/16T (135W)

  • 128 GB RAM == 8 x 16GB RDIMM, 2133 MT/s, Dual Rank, x4 Data Width
  • config B: lower CPU clock speed, high-core count, higher RAM
  • 24 physical cores or 48 HT cores ==> two Intel Xeon E5-2680 v3 2.5GHz, 30M Cache, 9.60GT/s QPI, Turbo, HT, 12C/24T (120W)
  • 256 GB RAM == 16 x 16GB RDIMM, 2133 MT/s, Dual Rank, x4 Data Width

MonARCH supports a wide range of software packages. The Linux environment module utility is used to load and unload different software packages. When a module is loaded, it sets specific environment variables (e.g., PATH, LD_LIBRARY_PATH, etc.) to the appropriate pathnames where the software is installed.

Environment Modules

There may be occasions where you need to use different compilers and/or libraries from those found in your usual environment, and you therefore need to adjust your environment variables accordingly. The module command makes this easy. Some examples of its use are:

module avail Shows what modules are available on the system
module whatis Shows what they do
module load openmpi-intel Makes Intel MPI libraries and Intel Fortran compiler available
module list Shows which module are loaded
module purge Unloads all of them
module unload openmpi-intel intel Unloads Intel MPI and Intel Fortran modules
module display [modulefile]Software Use this command to see exactly what a given modulefile will do to your environment, such as what will be added to the PATH, MANPATH, etc. environment variables.

Here is an example of how to load the GNU C/C++ compiler.

$module load gcc/4.3.5

That's all! Now here we put some extra Linux commands to show that, by loading the module, we override the default System compiler.

Load the gcc compiler, showing paths and versions:

# show that we have the default compiler

$which gcc
$gcc -v
  Using built-in specs.
  Target: x86_64-redhat-linux
  Configured with: ../configure --prefix=/usr --mandir=/usr/share/man
  --enable-shared --enable-threads=posix --enable-checking=release
  --with-system-zlib --enable-__cxa_atexit
  --disable-libunwind-exceptions --enable-libgcj-multifile
  --enable-java-awt=gtk --disable-dssi --enable-plugin
  --with-cpu=generic --host=x86_64-redhat-linux
  Thread model: posix
  gcc version 4.1.2 20080704 (Red Hat 4.1.2-46)

# load a different compiler

$module load gcc/4.3.5

# check that we have a new version

$which gcc
$gcc -v
  Using built-in specs.
  Target: x86_64-unknown-linux-gnu
  Configured with: ../gcc-4.3.5/configure --prefix=/opt/sw/gcc-4.3.5
Thread model: posix
  gcc version 4.3.5 (GCC)

Suppose we wanted to know more about a module we wanted to load? That can be done via the show command module show example

module show gcc/4.3.5
  module-whatis    GNU Compiler Collection is ...
  conflict     gcc/4.8.0
  conflict     gcc/4.4.4
  conflict     gcc/4.5.3
  conflict     intel/10.0.025
  conflict     intelC/10.0.025
  prepend-path PATH /opt/sw/gcc-4.3.5/bin:/opt/sw/gcc-4.3.5/libexec/gcc/x86_64-unknown-linux-gnu/4.3.5
  prepend-path     LD_LIBRARY_PATH /opt/sw/gcc-4.3.5/lib64:/opt/sw/gcc-4.3.5/lib
  prepend-path     MANPATH /opt/sw/gcc-4.3.5/man


Suppose we wanted to use the system compiler again. All you do is unload the module. Unload the gcc compiler

module unload gcc/4.3.5

Here we unload the compiler, checking that we have the right versions when finished.

Check that we load the correct compiler:

# unload compiler

$module unload gcc/4.3.5

# show that we have the default compiler

$which gcc
$gcc -v
  Using built-in specs.
  Target: x86_64-redhat-linux
  Configured with: ../configure --prefix=/usr --mandir=/usr/share/man --infodir=/usr/share/info --enable-shared --enable-threads=posix enable-checking=release --with-system-zlib --enable-__cxa_atexit --disable-libunwind-exceptions --enable-libgcj-multifile --enable-languages=c,c++,objc,obj-c++,java,fortran,ada --enable-java-awt=gtk --disable-dssi --enable-plugin --with-java-home=/usr/lib/jvm/java-1.4.2-gcj- --with-cpu=generic --host=x86_64-redhat-linux
  Thread model: posix
  gcc version 4.1.2 20080704 (Red Hat 4.1.2-46)

An advantage of using the module command is that it warns you about conflicting packages. You can't load two different gcc compilers at the same time!

$module load gcc/4.3.5
$module load gcc/4.2.3
  gcc/4.2.3(15):ERROR:150:    Module 'gcc/4.2.3' conflicts with the currently loaded module(s) 'gcc/4.3.5'
  gcc/4.2.3(15):ERROR:102:    Tcl command execution failed: conflict gcc/4.3.5

Note. Some modules load other modules! Also, if the software is licensed, loading a module does not mean you will be allowed access to it. Please email to gain access to proprietary software. Here, loading the vasp module will not allow you access to it.

Example of 'module list':

$module list
  Currently Loaded Modulefiles:
    1) gcc/4.3.5               3) mpfr/2.4.2              5) openmpi/1.6-gcc-4.5.3   7) vasp/5.3.2-2D
    2) gmp/4.3.2               4) mpc/0.9                 6) fftw/3.2.2-openmp

If you do not explicitly give a version number, module will use the default module.

Example of 'module display'

module display gcc

module-whatis GNU Compiler Collection is ... module load gmp mpfr conflict gcc/4.8.0 conflict gcc/4.3.5 conflict gcc/4.5.3 conflict intel/10.0.025 conflict intelC/10.0.025 prepend-path PATH/opt/sw/gcc-4.4.4/bin:/opt/sw/gcc-4.4.4/libexec/gcc/x86_64-unknown-linux-gnu/4.4.4 prepend-path LD_LIBRARY_PATH /opt/sw/gcc-4.4.4//lib64 prepend-path MANPATH /opt/sw/gcc-4.4.4//man -------------------------------------------------------------------

This is the output of module display. You can interrogate any module with the commands listed above. Output of module avail.

module avail
----------------------- /usr/share/Modules/modulefiles ------------------------
dot                    matlab-compiler/R2011a module-info            null
matlab/R2011a-local    module-cvs             modules                use.own
----------------------- /opt/sw/Modules/modulefiles ---------------------------
FEniCS/1.0                  fluent/proto                libctl/3.0.3(default)
Mesa/7.0.1(default)         freeglut/2.6.0              libctl/3.1
Mesa/7.0.2                  freeimage/3.13.1            libctl/3.2.1
Mesa/7.2                    freesurfer/5.0.0            libxc/2.0.2
OpenBUGS/3.1.1              fsc/1.1.2                   libxml2/2.7.2
OpenCV/2.2.0                fsl/4.0.2                   macmolplt/7.4.2
Qt/3.3.8b                   fsl/4.1.0-test              mallet/2.0.7
Qt/4.2.3                    fsl/4.1.5                   ...