I found some very similar questions which helped me arrive at a script which seems to work however I'm still unsure if I fully understand why, hence this question..
My problem (example): On 3 nodes, I want to run 12 tasks on each node (so 36 tasks in total). Also each task uses OpenMP and should use 2 CPUs. In my case a node has 24 CPUs and 64GB memory. My script would be:
#SBATCH --nodes=3
#SBATCH --ntasks=36
#SBATCH --cpus-per-task=2
#SBATCH --mem-per-cpu=2000
export OMP_NUM_THREADS=2
for i in {1..36}; do
srun -N 1 -n 1 ./program input${i} >& out${i} &
done
wait
This seems to work as I require, successively running tasks on a node until all CPUs on that node are in use, and then continuing to run further tasks on the next node until all CPUs are used again, etc..
My question.. I'm not sure if this is actually what it does (?) as I didn't fully understand the man page of srun regarding -n, and i have not used srun before. Mainly my confusion comes from "-n": In the man page for -n it says "The default is one task per node, ..", so I expected if I use "srun -n 1" that only one task will be run on each node, which doesn't seem to be the case. Furthermore when i tried e.g. "srun -n 2 ./program" it seems to just run the exact same program twice as two different tasks with no way to use different input files.. which I can't think of why that would ever be useful?
An other way is to run all your tasks at once. since the input and output file depends on the rank, a wrapper is needed
your SLURM script would be
and your wrapper
program.sh
would beYour setup is correct except that you must use the
--exclusive
option of srun (which has a different meaning in this case than forsbatch
).As for your remark regarding the usefulness of
srun
, the behaviour of the program can be changed based on the environment variable$SLURM_TASK_ID
, or the rank in case of an MPI program. Your confusion arises from the fact that your program is not written to be parallel (appart from the 2 OMP threads) whilesrun
is meant to start parallel programs, most of the time based on MPI.