====== Large Slurm Job ======

This is an example of a very large Slurm job which is still running on //a single node//. A single-node Slurm job can use up to **256** cores and **1.5TB** of RAM.

   * Uses the HPC Project group **myhpcproject**; change to use your //real// HPC Project name
   * Submitted to the //free// **highmem_free** partition (''--partition=highmem_free'')
   * Requests **256 CPU** cores (''--cpus-per-task=256''); this the largest single node job possible
   * Requests **512GB** of RAM (''--mem=512G'')
   * Requests up to **10 hours** of runtime (''--time=10:00:00''), for a maximum //possible// total of **2560 Compute Hours** (''cpus_per_task * time_in_hours'')
   * Prints the time the job started to the log file
   * Prints the name of the compute node(s) it will run on
   * Prints the time the job finished to the log file

<code lang=bash title=slurm_sequential.sh>
#!/bin/bash

#SBATCH --account=myhpcproject
#SBATCH --partition=highmem_free
#SBATCH --cpus-per-task=256
#SBATCH --mem=512G
#SBATCH --time=10:00:00

# Log when we started
echo "Job started at: `date`"

# Show which node(s) we are running on
HOSTNAMES=`scontrol show hostnames $SLURM_JOB_NODELIST`
echo "Job is running on: $HOSTNAMES"

# Add any 'module load' commands here

# Add your custom commands you want to run here

# Log when we finished
echo "Job finished at: `date`"
</code>

<WRAP tip round>
Jobs submitted to the //free// **highmem_free** partition may need to wait for longer until sufficient resources are free. If your HPC Project has funds available, consider applying for [[started:paying|Funded]] access and then submitting to the **highmem_paid** partition instead, where your job has an opportunity to be scheduled on a much larger set of [[https://hpc.researchcomputing.ncl.ac.uk/calc/show/2/7|available compute nodes]] than are available to free users.
</WRAP>

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