SLURM is an open-source workload manager designed for Linux clusters of all sizes. It provides job scheduling and resource management to optimize cluster utilization.It is a highly scalable cluster management and job scheduling system for large and small Linux clusters. It is used by some of the world’s most powerful supercomputers.

Please refer to SLURM documentation for more information.

• Open-source and actively developed
• Scalable to tens of thousands of nodes
• Flexible job scheduling options
• Supports job arrays, reservations, and dependencies
• Plugins available for authentication, accounting, and more

• Node – A single computer in the cluster.
• Partition – A group of nodes (like a queue).
• Job – A user-submitted task to be run on the cluster.
• Job Step – A component of a job, such as a single MPI process.
• Scheduler – The component that determines which jobs run when.

• slurmctld - Central controller that manages job scheduling and the overall state of the cluster.
• slurmd - Node daemon that runs on each compute node to execute assigned tasks.
• slurmdbd (optional) - Handles accounting and job information storage via a database backend.

Each component communicates over a secure protocol to coordinate resource usage and job execution efficiently.

SchedMD - Slurm Workload Manager

• https://slurm.schedmd.com

Most common commands are:

Create a job script (e.g., `job.sbatch`):

  #!/bin/bash
  #SBATCH --job-name=test_job  # Name of your job. 
  #SBATCH --output=result.out  # Result file, standard output.
  #SBATCH --error=result.err   # Standard error.
  #SBATCH --time=01:00:00      # Work time.
  #SBATCH --partition=standard # Partition to work on.
  #SBATCH --ntasks=1           # Number of parallel tasks.
 
  echo "Hello from SLURM job"