Star-CCM+

From CC Doc
(Redirected from StarCCM)
Jump to: navigation, search
Other languages:
English • ‎français

STAR-CCM+ is a multidisciplinary engineering simulation suite, supporting the modelling of acoustics, fluid dynamics, heat transfer, rheology, multiphase flows, particle flows, solid mechanics, reacting flows, electrochemistry, and electromagnetics. It is developed by Siemens.

License limitations

Compute Canada has the authorization to host STAR-CCM+ binaries on its servers, but does not provide licenses to users. You will need to have your own license in order to use this software.

Configuring your account to use your own license server

In order to configure your account to use your own license server with our Star-CCM+ module, create a file $HOME/.licenses/starccm.lic with the content :

File : starccm.lic

SERVER IP ANY PORT
USE_SERVER


where you change IP and PORT with the IP address and the port used by the license server.

Running Star-CCM+ on Compute Canada servers

Select one of the available modules:

  • starccm for the double-precision flavour,
  • starccm-mixed for the mixed precision flavour.

Star-CCM+ comes bundled with two different distributions of MPIMessage Passing Interface:

  • IBM Platform MPI is the default distribution, but does not work on Cedar's Intel OmniPath network fabric;
  • Intel MPI is specified with option -mpi intel.

Neither IBM Platform MPIMessage Passing Interface nor Intel MPIMessage Passing Interface are tightly coupled with our scheduler; you must therefore tell starccm+ which hosts to use by means of a file containing the list of available hosts. To produce this file, we provide the slurm_hl2hl.py script, which will output the list of hosts when called with the option --format STAR-CCM+. This list can then be written to a file and read by Star-CCM+. Also, because these distributions of MPIMessage Passing Interface are not tightly integrated with our scheduler, you should use options --ntasks-per-node=1 and --cpus-per-task=32 when submitting a job.

You will also need to set up your job environment to use your license. If you are using Adapco's online "pay-on-usage" server, the configuration is rather simple. If you are using an internal license server, please contact us so that we can help you setup the access to it. When all is done, your submit script should look like this, where 2 nodes are used for 1 hour; you can adjust these numbers to fit your needs.

Note that at Niagara the compute nodes mount the $HOME filesystem as "read-only". Therefore it is important to define the environment variable $STARCCM_TMP and point it to a location on $SCRATCH, which is unique to the version of StarCCM+. Otherwise StarCCM+ will try to create such a directory in the $HOME and crash in the process.

File : starccm_job.sh

#!/bin/bash
#SBATCH --time=0-01:00        # Time limit: d-hh:mm
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=32
#SBATCH --mem=0               # Request all available MEM on full nodes
module load starccm/12.04.011-R8

export LM_PROJECT='YOUR ADAPCO PROJECT ID GOES HERE'
export CDLMD_LICENSE_FILE="1999@flex.cd-adapco.com"

export STARCCM_TMP="${SCRATCH}/.starccm-${EBVERSIONSTARCCM}"
mkdir -p "$STARCCM_TMP"

slurm_hl2hl.py --format STAR-CCM+ > machinefile

NCORE=$((SLURM_NTASKS * SLURM_CPUS_PER_TASK))

starccm+ -power -np $NCORE -machinefile machinefile -batch  /path/to/your/simulation/file
File : starccm_job.sh

#!/bin/bash
#SBATCH --time=0-01:00        # Time limit: d-hh:mm
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=48
#SBATCH --mem=0               # Request all available MEM on full nodes
module load starccm/12.04.011-R8

export LM_PROJECT='YOUR ADAPCO PROJECT ID GOES HERE'
export CDLMD_LICENSE_FILE="1999@flex.cd-adapco.com"

export STARCCM_TMP="${SCRATCH}/.starccm-${EBVERSIONSTARCCM}"
mkdir -p "$STARCCM_TMP"

slurm_hl2hl.py --format STAR-CCM+ > machinefile

NCORE=$((SLURM_NTASKS * SLURM_CPUS_PER_TASK))

starccm+ -power -np $NCORE -machinefile machinefile -mpi intel -batch /path/to/your/simulation/file
File : starccm_job.sh

#!/bin/bash
#SBATCH --time=0-01:00        # Time limit: d-hh:mm
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=1
#SBATCH --cpus-per-task=40    # or 80 to use HyperThreading
#SBATCH --mem=0               # Request all available MEM on full nodes

cd $SLURM_SUBMIT_DIR

module purge --force
module load CCEnv
module load StdEnv
module load starccm/12.04.011-R8

export LM_PROJECT='YOUR ADAPCO PROJECT ID GOES HERE'
export CDLMD_LICENSE_FILE="1999@localhost"
ssh nia-gw -L 1999:flex.cd-adapco.com:1999 -L 2099:flex.cd-adapco.com:2099 -N -f

export STARCCM_TMP="${SCRATCH}/.starccm-${EBVERSIONSTARCCM}"
mkdir -p "$STARCCM_TMP"

# ln -s $STARCCM_TMP $HOME  ### only the first time you run the script

slurm_hl2hl.py --format STAR-CCM+ > machinefile

NCORE=$((SLURM_NTASKS * SLURM_CPUS_PER_TASK))

starccm+ -power -np $NCORE -machinefile machinefile -batch /path/to/your/simulation/file