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Slurm Usage

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**Quick Introduction**

A queue in Slurm is called a partition. User commands are prefixed with `s`s.

**Useful Commands**

- `sacct`sacct, `sbatch`sbatch, `sinfo`sinfo, `sprio`sprio, `squeue`squeue, `srun`srun, `sshare`sshare, `sstate`sstate, etc.
- `sbatch`sbatch: sends jobs to the Slurm queue
- `sinfo`sinfo: general info about Slurm
- `squeue`squeue: inspect queue
- `sinfo -lNe`lNe: more detailed info reporting with long format and nodes listed individually
- `scancel 22`22: cancel job 22
- `scontrol show job 2`2: show control info on job 2

**Examples:**

```bash

\# find the queue names:
  
\[user@computer ~\]$ sinfo
  
PARTITION AVAIL TIMELIMIT NODES STATE NODELIST
basic*  
basic\* up infinite 1 idle



\# test a job submission (don't run)
  
sbatch --test-only slurm_test.slurm\_test.sh



\# run a job
  
sbatch slurm_test.slurm\_test.sh
```

**Example Slurm job file:**

```bash

\#!/bin/bash
  
\## SLURM REQUIRED SETTINGS
  
\#SBATCH --partition=basic
  
\#SBATCH --nodes=1
  
\#SBATCH --ntasks=1
  
\#SBATCH --cpus-per-task=1



\## SLURM reads %x as the job name and %j as the job ID
  
\#SBATCH --output=%x-%j.out
  
\#SBATCH --error=%x-%j.err



\# Output some basic info with job
  
pwd; hostname; date;



\# requires ED2_HOMEED2\_HOME env var to be set
  
cd $ED2_HOME/ED2\_HOME/run



\# Job to run
  
./ed2
```

**Another Example:**

```bash

\#!/bin/bash
  
\#
  
\#SBATCH -p basic # partition name (aka queue)
  
\#SBATCH -c 1 # number of cores
  
\#SBATCH --mem 100 # memory pool for all cores
  
\#SBATCH -t 0-2:00 # time (D-HH:MM)
  
\#SBATCH -o slurm.%N.%j.out # STDOUT
  
\#SBATCH -e slurm.%N.%j.err # STDERR



\# code or script to run
  
for i in {1..100000}; do
  
echo $RANDOM >>>> SomeRandomNumbers.txt
  
donesort SomeRandomNumbers.txt
```

**Python Example:**

The output goes to a file in your home directory called `hello-python-\*.out`out, which should contain a message from Python.

```bash

\#!/bin/bash



\## SLURM REQUIRED SETTINGS1G
  
\#SBATCH --nodes=1
  
\#SBATCH --ntasks=1
  
\#SBATCH --cpus-per-task=1



\## SLURM reads %x as the job name and %j as the job ID
  
\#SBATCH --output=%x-%j.out
  
\#SBATCH --error=%x-%j.err



\#SBATCH --job-name=hello-python # create a short name for your job
  
\#SBATCH --time=00:01:00 # total run time limit (HH:MM:SS)



\## Example use of Conda:



\# first source bashrc (with conda.sh), then conda can be used
  
source ~/.bashrc



\# make sure conda base is activated
  
conda activate



\# Other conda commands go here



\## run python
  
python hello.py
```

`hello.py`py should be something like this:

```python

print('Hello from Python!')
```

**Computer Facts:**

Find out facts about the computer for the job file

```bash

\# number of cores?
  
grep 'cpu cores' /proc/cpuinfo | uniq



\# memory
  
\[emery@bellows ~\]$ free -h
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