General computational fluid dynamics solver (cell-centered FVM)

General Information

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

Details of the HLRN Installation of ANSYS

The ANSYS versions currently installed are

Usage and Licensing at HLRN

The use of Ansys is restricted to members of the ansys user group. You can ask to become a group member at support[at]hlrn.de
Please note the license conditions: Our academic 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.

The flag "#SBATCH -L ansys" ensures that the scheduler starts jobs only, when licenses are available.
You can check the availability yourself: scontrol show lic

• aa_r is a "ANSYS Academic Research License" with 4 inclusive tasks. Research jobs with more than 4 tasks cost additional "aa_r_hpc" licenses.

• aa_t_a is a "ANSYS Academic Teaching License" with a maximum of 4 tasks. These may be used only for student projects, student instruction and student demonstrations. Eligible users are allowed to activate these, by adding the flag
  

  Activation of the aa_t_a license

  -lpf $ANSYSLIC_DIR/prodord/license.preferences_for_students_and_teaching.xml

  to the Ansys executable.

Example Jobscripts

The underlying test case described here can be downloaded here: NaturalConvection_SimulationFiles.zip

#!/bin/bash
#SBATCH -t 00:10:00
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=40
#SBATCH -L ansys
#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 initial_run.cas.h5
      parallel/partition/method/cartesian-axes 2
      solve/initialize/initialize-flow
      solve/iterate 100
      exit
      yes
EOFluentInput

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

#!/bin/bash
#SBATCH -t 00:10:00
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=4
#SBATCH --gpus-per-node=4
#SBATCH -L ansys
#SBATCH -p gpu
#SBATCH --output="slurm.log.%j"
echo "Running on nodes: ${SLURM_JOB_NODELIST}"
srun hostname -s > hostfile

module load ansys/2020r2

cat <<EOF > fluent.jou
; this is a Ansys journal file aka text user interface (TUI) file
parallel/gpgpu/show
file/read-cas initial_run.cas.h5
solve/iterate 10
file/write-case-data outputfile
ok
exit
EOF

fluent 2d -g -t${SLURM_NTASKS} -gpgpu=${SLURM_GPUS_PER_NODE} -mpi=intel -cnf=hostfile -i fluent.jou  >/dev/null 2>&1
echo '#################### Fluent finished ############'

Your job can be offloaded if parallel/gpgpu/show denotes the selected devices with a "(*)".
Your job was offloaded successfully if the actual call of you solver prints "AMG on GPGPU".
In this case, your .trn output file contains device_list and amgx_and_runtime, respectively.

-gpgpu    must be an integer multiple of the tasks per node (ntasks-per-node)