cumulative_disorder_average_connections_sbatch_SL2.sh

#!/bin/bash
#!
#! Example SLURM job script for Peta4-CascadeLake (Cascade Lake CPUs, HDR IB)
#! Last updated: Fri 18 Sep 12:24:48 BST 2020
#!

#!#############################################################
#!#### Modify the options in this section as appropriate ######
#!#############################################################

#! sbatch directives begin here ###############################
#! Name of the job:
#SBATCH -J cpujob
#! Which project should be charged:
#SBATCH -A CASTELNOVO-SL2-CPU
#SBATCH -p cclake-himem
#! How many whole nodes should be allocated?
#SBATCH --nodes=2
#! How many (MPI) tasks will there be in total? (<= nodes*56)
#! The Cascade Lake (cclake) nodes have 56 CPUs (cores) each and
#! 3420 MiB of memory per CPU.
#! TODO change
#SBATCH --ntasks=100
#! How much wallclock time will be required?
#SBATCH --time=36:00:00
#! What types of email messages do you wish to receive?
#SBATCH --mail-type=ALL
#! Uncomment this to prevent the job from being requeued (e.g. if
#! interrupted by node failure or system downtime):
##SBATCH --no-requeue

#! sbatch directives end here (put any additional directives above this line)

#! Notes:
#! Charging is determined by cpu number*walltime.
#! The --ntasks value refers to the number of tasks to be launched by SLURM only. This
#! usually equates to the number of MPI tasks launched. Reduce this from nodes*56 if
#! demanded by memory requirements, or if OMP_NUM_THREADS>1.
#! Each task is allocated 1 CPU by default, and each CPU is allocated 3420 MiB
#! of memory. If this is insufficient, also specify
#! --cpus-per-task and/or --mem (the latter specifies MiB per node).

#! Number of nodes and tasks per node allocated by SLURM (do not change):
numnodes=$SLURM_JOB_NUM_NODES
numtasks=$SLURM_NTASKS

. /etc/profile.d/modules.sh                # Leave this line (enables the module command)
module purge                               # Removes all modules still loaded
module load rhel7/default-ccl              # REQUIRED - loads the basic environment
module load julia/1.7.3


#! Work directory (i.e. where the job will run):
workdir="$SLURM_SUBMIT_DIR"  # The value of SLURM_SUBMIT_DIR sets workdir to the directory
                             # in which sbatch is run.



# cd $workdir
cd rubiks-cube-monte-carlo
echo -e "Changed directory to `pwd`.\n"

JOBID=$SLURM_JOB_ID

echo -e "JobID: $JOBID\n======"
echo "Time: `date`"
echo "Running on master node: `hostname`"
echo "Current directory: `pwd`"
echo "Arguments passed to SLURM script: $@"

julia job_energy_connectivity_cumulative_disorder_average.jl "$@"