Note: This guide provides an introduction to the SLURM job scheduler and its application on the c2b2 clusters. The clusters comprise:
8 compute nodes, each with 20-core processors and 128 GB of memory
Some nodes have 192 cores and 1.5 TB of memory
1 GPU node featuring 2 NVIDIA L40s GPU cards
1 GPU node with a Superchip GH200 ARM architecture, 1 GPU, and 570 GB of memory
This guide will help you get started with using SLURM on these clusters.
Introductions
Jobs are executed in batch mode, without user intervention. The typical process involves
Logging into the login node ((link unavailable))
Preparing a job script that specifies the work to be done and required computing resources
Submitting the job to the queue
Optionally logging out while the job runs
Returning to collect the output data once the job is complete
This guide provides an introduction to submitting and monitoring jobs using SLURM. The covered topics include:
Essential SLURM commands
Creating a job submission script
Understanding SLURM partitions
Submitting jobs to the queue
Monitoring job progress
Canceling jobs from the queue
Setting environment variables
Managing job dependencies and job arrays
Commands
The following table summarizes the most commonly used SLURM commands:
Command | Description |
|---|---|
sbatch | Submits a job script for execution. |
sinfo | Displays the status of SLURM-managed partitions and nodes, with customizable filtering, sorting, and formatting options. |
squeue | Shows the status of jobs, with options for filtering, sorting, and formatting, defaulting to priority order for running and pending jobs. |
srun | Run a parallel job on cluster. |
scancel | Cancels a pending or running job |
sacct | Provides accounting information for active or completed jobs. |
salloc | This command is used to allocate resources and submit an interactive job to Slurm, allowing users to execute tasks in real-time with manual input. |