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Code_Saturne solves the Navier-Stokes equations for 2D, 2D-axisymmetric and 3D flows, steady or unsteady, laminar or turbulent, incompressible or weakly dilatable, isothermal or not, with scalar transport if required. Several turbulence models are available, from Reynolds-averaged models to large-eddy simulation (LES) models. In addition, a number of specific physical models are also available as "modules": gas, coal and heavy-fuel oil combustion, semi-transparent radiative transfer, particle-tracking with Lagrangian modeling, Joule effect, electrics arcs, weakly compressible flows, atmospheric flows, rotor/stator interaction for hydraulic machines.

Using Code_Saturne on ARCHER2

Code_Saturne is released under the GNU General Public Licence v2 and so is freely available to all users on ARCHER2.

You can load Code_Saturne 6.0.5 for use by running the following command:

module load code_saturne/6.0.5-gcc10

Running parallel Code_Saturne jobs

After setting up a case it should be initialized by running the following command from the case directory, where setup.xml is the input file:

code_saturne run --initialize --param setup.xml

This will create a directory named for the current date and time (e.g. 20201019-1636) inside the RESU directory. Inside the new directory will be a script named run_solver. You may alter this to resemble the script below, or you may wish to simply create a new one with the contents shown.

If you wish to alter the existing run_solver script you will need to add all the #SBATCH options shown to set the job name, size and so on. You should also add the two module commands, and srun --distribution=block:block --hint=nomultithread as well as the --mpi option to the line executing ./cs_solver to ensure parallel execution on the compute nodes. The export LD_LIBRARY_PATH=... and cd commands are redundant and may be retained or removed.

This script will run an MPI-only Code_Saturne job over 4 nodes (128 x 4 = 512 cores) for a maximum of 20 minutes.

#SBATCH --export=none
#SBATCH --job-name=CSExample
#SBATCH --time=0:20:0
#SBATCH --nodes=4
#SBATCH --tasks-per-node=128
#SBATCH --cpus-per-task=1

# Replace [budget code] below with your project code (e.g. t01)
#SBATCH --account=[budget code]
#SBATCH --partition=standard
#SBATCH --qos=standard

# Setup the batch environment
module load epcc-job-env

module load code_saturne

# Switch to mpich-ucx implementation (see info note below)
module switch cray-mpich/8.0.16 cray-mpich-ucx/8.0.16
module switch craype-network-ofi craype-network-ucx

# Prevent threading.

# Run solver.
srun --distribution=block:block --hint=nomultithread ./cs_solver --mpi $@

The script can then be submitted to the batch system with sbatch.


There is a known issue with the default MPI collectives which is causing performance issues on Code_Saturne. The suggested workaround is to switch to the mpich-ucx implementation.

Compiling Code_Saturne

The latest instructions for building Code_Saturne on ARCHER2 may be found in the GitHub repository of build instructions: