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When the shell come back with the prompt, you can execute your program by typing:
> mpirunsrun ./myprogram
or
> srun --mpi=pmi2 mpirun ./myprogram
Pay attention in putting the flag --mpi=pmi2 immediatly after srunThe srun command will take by default PMI2 as MPI type.
SLURM automatically exports the environment variables you defined in the source shell, so that if you need to run your program myprogram in a controlled environment (i.e. specific library paths or options), you can prepare the environment in the origin shell being sure to find it in the interactive shell.
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You can get a list of defined partitions with the command:
> sinfo -dsinfo
You can simplify the output reported by the sinfo command specifying the output format via the "-o" option. A minimal output is reported, for instance, with:
> sinfo -o "%10D %20F %P"
which shows, for each partition, the total number of nodes and the number of nodes by state in the format "Allocated/Idle/Other/Total".
For more information and examples of job scripts, see section Batch Scheduler SLURM.
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#!/bin/bash
#SBATCH -N 1
#SBATCH -A <account_name>
#SBATCH --mem=86000
#SBATCH -p knl_usr_prod
#SBATCH --time 00:05:00
#SBATCH --job-name=KNL_batch_job
#SBATCH --mail-type=ALL
#SBATCH --mail-user=<user_email>
srun --mpi=pmi2 ./myexecutable where <account_name> is the project account user has to specify to pay for the job, and <user_email> is a valid email address user can specify to receive real-time information about his job status changes.
Last two lines of the above script are not compulsory.
Submitting Batch jobs for A3 partition
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#!/bin/bash
#SBATCH -N 1
#SBATCH -A <account_name>
#SBATCH --mem=180000
#SBATCH -p skl_usr_prod
#SBATCH --time 00:05:00
#SBATCH --job-name=SKL_batch_job
#SBATCH --mail-type=ALL
#SBATCH --mail-user=<user_email>
srun --mpi=pmi2 ./myexecutableSummary
In the following table you can find all the main features and limits imposed on the queues of the shared A1 and A2 partitions. For Marconi-FUSION dedicated queues please refer to the dedicated document.
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