Slurm Usage
**Quick Introduction**
A queue in Slurm is called a partition. User commands are prefixed with s
.
**Useful Commands**
- sacct
, sbatch
, sinfo
, sprio
, squeue
, srun
, sshare
, sstate
, etc.
- sbatch
: sends jobs to the Slurm queue
- sinfo
: general info about Slurm
- squeue
: inspect queue
- sinfo -lNe
: more detailed info reporting with long format and nodes listed individually
- scancel 22
: cancel job 22
- scontrol show job 2
: show control info on job 2
**Examples:**
\# find the queue names:
\[user@computer ~\]$ sinfo
PARTITION AVAIL TIMELIMIT NODES STATE NODELIST
basic\* up infinite 1 idle
\# test a job submission (don't run)
sbatch --test-only slurm\_test.sh
\# run a job
sbatch slurm\_test.sh
**Example Slurm job file:**
\#!/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\_HOME env var to be set
cd $ED2\_HOME/run
\# Job to run
./ed2
**Another Example:**
\#!/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
, which should contain a message from Python.
\#!/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
should be something like this:
print('Hello from Python!')
**Computer Facts:**
Find out facts about the computer for the job file
\# number of cores?
grep 'cpu cores' /proc/cpuinfo | uniq
\# memory
\[emery@bellows ~\]$ free -h