Mathematica

Wolfram Mathematica is a modern technical computing system spanning most areas of technical computing — including neural networks, machine learning, image processing, geometry, data science, visualizations, and others. The system is used in many technical, scientific, engineering, mathematical and computing fields.

• Homepage
• Documentation

Mathematica on Scicluster

Interactive Session

Request an Interactive Job with X11 forwarding ++++++++++++++++++++++++++++++++++++++++++++++

Login to the frontend ::

ssh -Y username@login-node

To run Mathematica interactively, you need to request an interactive session on a compute node. See :doc:/jobs/interactive.

After requesting an interactive job for example on compute-0-3 node, run in another terminal ::

ssh -Y compute-0-3

Usage +++++

To launch Mathematica in your above mentioned terminal, you will first need to make sure you have the correct module loaded. You can search for all available Mathematica versions. ::

module avail Mathematica

Load the appropriate module file. For example, to run version 12.3. ::

module load Mathematica/12.3.0

Once you have the appropriate module loaded in an interactive job, start Mathematica. The & will put the program in the background so you can continue to use your terminal session. ::

Mathematica &

Batch mode

Serial job ++++++++++

Consider this simple one line script (hello_world.nb) ::

Print["Hello, World."]

Below is a Slurm script (job.slurm) appropriate for a serial Mathematica job: ::

#!/bin/bash
#SBATCH --job-name=myjob         # create a short name for your job
#SBATCH --nodes=1                # node count
#SBATCH --ntasks=1               # total number of tasks across all nodes
#SBATCH --cpus-per-task=1        # cpu-cores per task (>1 if multi-threaded tasks)
#SBATCH --mem-per-cpu=4G         # memory per cpu-core (4G per cpu-core is default)
#SBATCH --time=00:01:00          # total run time limit (HH:MM:SS)

module purge
module load Mathematica/12.3.0

math -run < hello_world.nb &> output

Submit the job with: ::

sbatch job.slurm

Parallel job ++++++++++++

Consider this simple parallel Mathematica script (simple_par.nb): ::

Print[ParallelEvaluate[$KernelID]]
Print[ParallelEvaluate[$ProcessID]]

which can be submitted as a parallel job, using this script (job.slurm): ::

#!/bin/bash
#SBATCH --job-name=myjob         # create a short name for your job
#SBATCH --nodes=1                # node count
#SBATCH --ntasks=1               # total number of tasks across all nodes
#SBATCH --cpus-per-task=4        # cpu-cores per task (>1 if multi-threaded tasks)
#SBATCH --mem-per-cpu=4G         # memory per cpu-core (4G per cpu-core is default)
#SBATCH --time=00:01:00          # total run time limit (HH:MM:SS)

module purge
module load Mathematica/12.3.0

math -run < simple_par.nb &> output

You can see :ref:job_script_examples for more advanced examples.