Difference between revisions of "Slurm"
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| + | HiPerGator and most other supercomputers are not used the same way as personal desktops/laptops/workstations. The massive amount of computing power requires a sophisticated approach to scheduling workloads to make sure that hardware resources are used efficiently, allocation limits are honored, and users and groups have a fair chance of using the resources without interfering with each other. Software called a resource manager and a scheduler are required to fulfill the above and other functions and conditions. on HiPerGator we use Slurm for managing hardware resources and scheduling workloads whether those submitted directly to the scheduler via job scripts or behind the scenes of more convenient interfaces like [[Open OnDemand]], [[Galaxy]], or [[JupyterHub]]. | ||
Slurm is an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters. Slurm requires no kernel modifications for its operation and is relatively self-contained. As a cluster workload manager, Slurm has three key functions. First, it allocates exclusive and/or non-exclusive access to resources (compute nodes) to users for some duration of time so they can perform work. Second, it provides a framework for starting, executing, and monitoring work (normally a parallel job) on the set of allocated nodes. Finally, it arbitrates contention for resources by managing a queue of pending work. Optional plugins can be used for accounting, advanced reservation, gang scheduling (time sharing for parallel jobs), backfill scheduling, topology optimized resource selection, resource limits by user or bank account, and sophisticated multifactor job prioritization algorithms. | Slurm is an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters. Slurm requires no kernel modifications for its operation and is relatively self-contained. As a cluster workload manager, Slurm has three key functions. First, it allocates exclusive and/or non-exclusive access to resources (compute nodes) to users for some duration of time so they can perform work. Second, it provides a framework for starting, executing, and monitoring work (normally a parallel job) on the set of allocated nodes. Finally, it arbitrates contention for resources by managing a queue of pending work. Optional plugins can be used for accounting, advanced reservation, gang scheduling (time sharing for parallel jobs), backfill scheduling, topology optimized resource selection, resource limits by user or bank account, and sophisticated multifactor job prioritization algorithms. | ||
| − | + | ==Slurm Jobs== | |
| − | == | + | For a list of sample Slurm scripts, please [https://help.rc.ufl.edu/doc/Sample_SLURM_Scripts Sample SLURM scripts] |
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Revision as of 15:17, 7 June 2022
Description
HiPerGator and most other supercomputers are not used the same way as personal desktops/laptops/workstations. The massive amount of computing power requires a sophisticated approach to scheduling workloads to make sure that hardware resources are used efficiently, allocation limits are honored, and users and groups have a fair chance of using the resources without interfering with each other. Software called a resource manager and a scheduler are required to fulfill the above and other functions and conditions. on HiPerGator we use Slurm for managing hardware resources and scheduling workloads whether those submitted directly to the scheduler via job scripts or behind the scenes of more convenient interfaces like Open OnDemand, Galaxy, or JupyterHub.
Slurm is an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters. Slurm requires no kernel modifications for its operation and is relatively self-contained. As a cluster workload manager, Slurm has three key functions. First, it allocates exclusive and/or non-exclusive access to resources (compute nodes) to users for some duration of time so they can perform work. Second, it provides a framework for starting, executing, and monitoring work (normally a parallel job) on the set of allocated nodes. Finally, it arbitrates contention for resources by managing a queue of pending work. Optional plugins can be used for accounting, advanced reservation, gang scheduling (time sharing for parallel jobs), backfill scheduling, topology optimized resource selection, resource limits by user or bank account, and sophisticated multifactor job prioritization algorithms.
Slurm Jobs
For a list of sample Slurm scripts, please Sample SLURM scripts