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Since LEONARDO is a general purpose system and is used by several users at the same time, long production jobs must be submitted using a queuing system (scheduler). The scheduler guarantees that the access to the resources is as fair as possible. The production environment on LEONARDO Data Centric partition is based on the slurmSLURM scheduler.
LEONARDO is based on a policy of node sharing among different jobs, i.e. a job can ask for resources and these can also be a part of a node, for example few cores. This means that, at a given time, one physical node can be allocated to multiple jobs of different users. Nevertheless, exclusivity at the level of the single core is guaranteed by low-level mechanisms.
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- Please refer to the general online guide to slurmSLURM and on task/thread bindings, and please pay attention to the setting of the SRUN_CPUS_PER_TASK for hybrid applications dispatched with "srun".
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Please note that the recommended way to launch parallel MPI applications in slurm SLURM jobs is with srun. By using srun instead of mpirun you will get full support for process tracking, accounting, task affinity, suspend/resume and other features.
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