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A Package for Computational Fluid Dynamics Simulations

General Information

The ANSYS software package is developed and distributed by ANSYS, Inc..

This documentation describes the specifics of installation and usage of ANSYS at HLRN. Introductory courses for ANSYS as well as courses for special topics are offered by ANSYS Inc. and their regional offices, e.g. in Germany. It is strongly recommended to take at least an introductory course (see the CAD-FEM GmbH homepage).

Details of the HLRN Installation of ANSYS

The ANSYS versions currently installed are

VersionModule FileRemarks
ANSYS 2020 R2ansys/2020r2
ANSYS 2019 R2ansys/2019r2default
ANSYS 19.2ansys/19.2
ANSYS 19.0ansys/19.0

The module name is ansys. Other versions of ANSYS may be installed. Inspect the output of module avail ansys.

Usage and Licensing at HLRN

Licences

Important: Always add
#SBATCH -L ansys
to your job script.

This allows for the batch system to start the job only, when the appropriate number of licenses is available.
You can check the availability yourself: scontrol show lic
aa_t_a is a "ANSYS Academic Teaching License" with a maximum of 16 tasks.
aa_r is a "ANSYS Academic Research License" with 16 inclusive tasks. Research jobs with more than 16 tasks cost additional "aa_r_hpc" licenses.

The use of Ansys is restricted to members of the ansys user group. You can apply to become a group member at support[at]hlrn.de
Please note: Our licenses are restricted to students, PhD students, teachers and trainers of public institutions. They cannot be used in projects that are financed by industrial partners.

Example Jobscripts

This is an example for a parallel distributed memory job on 2 nodes with 40 tasks per node
#!/bin/bash
#SBATCH -t 00:10:00
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=40
#SBATCH -L ansys:80  ### Important: match number to (nodes)*(tasks-per-node)
#SBATCH -p medium
#SBATCH --mail-type=ALL
#SBATCH --output="cavity.log.%j"
#SBATCH --job-name=cavity

module load ansys/2019r2
srun hostname -s > hostfile
echo "Running on nodes: ${SLURM_JOB_NODELIST}"

fluent 2d -g -t${SLURM_NTASKS}  -ssh  -mpi=intel -cnf=hostfile << EOFluentInput >cavity.out.$SLURM_JOB_ID
      file/read-case cavity.cas
      parallel/partition/method/cartesian-axes 2
      solve/initialize/initialize-flow
      solve/iterate 100
      exit
      yes
EOFluentInput

echo '#################### Fluent finished ############'



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