Use on SuperComputer

The code can be run on local machines with NVIDIA GPU but it will get better performance by running on large GPU.

The code is actually running on New Zealand eScience Infrastructure (NeSI).

Compiling the code

The Code needs to be compile on the machine, using the sources grom the github repository. Due to the code dependency to CUDA and netCDF, two modules need to be loaded:

• On Maui:

  module load CUDA\11.4.1
  module load netCDF-C++4/4.3.0-GCC-7.1.0

• On Mahuika:

  module load CUDA/11.4.1
  module load netCDF-C++4/4.3.1-gimpi-2020a

Running the code

• Example of a slurm file on Maui:

  #!/bin/bash
  #SBATCH --job-name=MY-TEST-NAME
  #SBATCH --time=8:00:00
  #SBATCH --account=MY-NESI-ACCOUNT
  #SBATCH --partition=nesi_gpu
  #SBATCH --gres=gpu
  #SBATCH --ntasks=1
  #SBATCH --cpus-per-task=2
  #SBATCH --mem=5GB
   
  #Running directory (to be completed)
  BGFLOOD=/nesi/project/XXXXXXXXXXXXXXX
   
  cd ${BGFLOOD}
   
  module load CUDA/11.4.1
  module load netCDF-C++4/4.3.0-GCC-7.1.0
   
  # Launching the executable
  srun ./BG_Flood_Maui
   
  echo "output_file = Output/${testname}/BGoutput-${reftime}.nc"
   
  echo "end of setup_run_BG.sh"

• Example of a slurm file on Mahuika:

  #!/bin/bash
  #SBATCH --job-name=MY-TEST-NAME
  #SBATCH --time=05:00:00
  #SBATCH --account=MY-NESI-ACCOUNT
  #SBATCH --gpus-per-node=1
  #SBATCH --ntasks=1
  #SBATCH --cpus-per-task=1
  #SBATCH --mem=1GB
   
  #Running directory (to be completed)
  BGFLOOD=/nesi/project/XXXXXXXXXXXXXXX
   
  cd ${BGFLOOD}
   
  #module load netCDF-C++4/4.3.0-gimkl-2017a
  module load netCDF-C++4/4.3.1-gimpi-2020a
  module load CUDA/11.4.1
   
  # Launching the executable
  srun ./BG_Flood_Mahuika
   
  echo "output_file = Output/${testname}/BGoutput-${reftime}.nc"
   
  echo "end of setup_run_BG.sh"