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(slurm-arguments-target)= | ||
# SLURM arguments primer | ||
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```{include} ../_static/swc-wiki-warning.md | ||
``` | ||
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## Abbreviations | ||
| Acronym | Meaning | | ||
| ------- | -------------------------------------------- | | ||
| SWC | Sainsbury Wellcome Centre | | ||
| HPC | High Performance Computing | | ||
| SLURM | Simple Linux Utility for Resource Management | | ||
| MPI | Message Passing Interface | | ||
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## Overview | ||
SLURM is a job scheduler and resource manager used on the SWC HPC cluster. | ||
It is responsible for allocating resources (e.g. CPU cores, GPUs, memory) to jobs submitted by users. | ||
When submitting a job to SLURM, you can specify various arguments to request the resources you need. | ||
These are called SLURM directives, and they are passed to SLURM via the `sbatch` or `srun` commands. | ||
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These are often specified at the top of a SLURM job script, | ||
e.g. the lines that start with `#SBATCH` in the following example: | ||
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```{code-block} bash | ||
#!/bin/bash | ||
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#SBATCH -J my_job # job name | ||
#SBATCH -p gpu # partition (queue) | ||
#SBATCH -N 1 # number of nodes | ||
#SBATCH --mem 16G # memory pool for all cores | ||
#SBATCH -n 4 # number of cores | ||
#SBATCH -t 0-06:00 # time (D-HH:MM) | ||
#SBATCH --gres gpu:1 # request 1 GPU (of any kind) | ||
#SBATCH -o slurm.%N.%j.out # STDOUT | ||
#SBATCH -e slurm.%N.%j.err # STDERR | ||
#SBATCH --mail-type=ALL | ||
#SBATCH [email protected] | ||
#SBATCH --array=1-12%4 # job array index values | ||
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# load modules | ||
... | ||
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# execute commands | ||
... | ||
``` | ||
This guide provides only a brief overview of the most important SLURM arguments, | ||
to demysify the above directives and help you get started with SLURM. | ||
For a more detailed description see the [SLURM documentation](https://slurm.schedmd.com/sbatch.html). | ||
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## Commonly used arguments | ||
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### Partition (Queue) | ||
- *Name:* `--partition` | ||
- *Alias:* `-p` | ||
- *Description:* Specifies the partition (or queue) to submit the job to. To see a list of all partitions/queues, the nodes they contain and their respective time limits, type `sinfo` when logged in to the HPC cluster. | ||
- *Example values:* `gpu`, `cpu`, `fast`, `medium` | ||
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### Job Name | ||
- *Name:* `--job-name` | ||
- *Alias:* `-J` | ||
- *Description:* Specifies a name for the job, which will appear in various SLURM commands and logs, making it easier to identify the job (especially when you have multiple jobs queued up) | ||
- *Example values:* `training_run_24` | ||
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### Number of Nodes | ||
- *Name:* `--nodes` | ||
- *Alias:* `-N` | ||
- *Description:* Defines the number of nodes required for the job. | ||
- *Example values:* `1` | ||
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:::{warning} | ||
This should always be `1`, unless you really know what you're doing, | ||
e.g. you are parallelising your code across multiple nodes with MPI. | ||
::: | ||
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### Number of Cores | ||
- *Name:* `--ntasks` | ||
- *Alias:* `-n` | ||
- *Description:* Defines the number of cores (or tasks) required for the job. | ||
- *Example values:* `4`, `8`, `16` | ||
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### Memory Pool for All Cores | ||
- *Name:* `--mem` | ||
- *Description:* Specifies the total amount of memory (RAM) required for the job across all cores (per node) | ||
- *Example values:* `8G`, `16G`, `32G` | ||
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### Time Limit | ||
- *Name:* `--time` | ||
- *Alias:* `-t` | ||
- *Description:* Sets the maximum time the job is allowed to run. The format is D-HH:MM, where D is days, HH is hours, and MM is minutes. | ||
- *Example values:* `0-01:00` (1 hour), `0-04:00` (4 hours), `1-00:00` (1 day). | ||
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:::{warning} | ||
If the job exceeds the time limit, it will be terminated by SLURM. | ||
On the other hand, avoid requesting way more time than what your job needs, | ||
as this may delay its scheduling (depending on resource availability). | ||
::: | ||
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### Generic Resources (GPUs) | ||
- *Name:* `--gres` | ||
- *Description:* Requests generic resources, such as GPUs. | ||
- *Example values:* `gpu:1`, `gpu:rtx2080:1`, `gpu:rtx5000:1`, `gpu:a100_2g.10gb:1` | ||
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:::{warning} | ||
No GPU will be allocated to you unless you specify it via the `--gres` argument (even if you are on the 'gpu' partition). | ||
To request 1 GPU of any kind, use `--gres gpu:1`. To request a specific GPU type, you have to include its name, e.g. `--gres gpu:rtx2080:1`. | ||
You can view the available GPU types on the [SWC internal wiki](https://wiki.ucl.ac.uk/display/SSC/CPU+and+GPU+Platform+architecture). | ||
::: | ||
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### Standard Output File | ||
- *Name:* `--output` | ||
- *Alias:* `-o` | ||
- *Description:* Defines the file where the standard output (STDOUT) will be written. In the examples scripts, it's set to slurm.%N.%j.out, where %N is the node name and %j is the job ID. | ||
- *Example values:* `slurm.%N.%j.out`, `slurm.MyAwesomeJob.out` | ||
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:::{note} | ||
This file contains the output of the commands executed by the job (i.e. the messages that normally gets printed on the terminal). | ||
::: | ||
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### Standard Error File | ||
- *Name:* `--error` | ||
- *Alias:* `-e` | ||
- *Description:* Specifies the file where the standard error (STDERR) will be written. In the examples, it's set to slurm.%N.%j.err, where %N is the node name and %j is the job ID. | ||
- *Example values:* `slurm.%N.%j.err`, `slurm.MyAwesomeJob.err` | ||
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:::{note} | ||
This file is very useful for debugging, as it contains all the error messages produced by the commands executed by the job. | ||
::: | ||
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### Email Notifications | ||
- *Name:* `--mail-type` | ||
- *Description:* Defines the conditions under which the user will be notified by email. | ||
- *Example values:* `ALL`, `BEGIN`, `END`, `FAIL` | ||
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### Email Address | ||
- *Name:* `--mail-user` | ||
- *Description:* Specifies the email address to which notifications will be sent. | ||
- *Example values:* `[email protected]` | ||
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### Array jobs | ||
- *Name:* `--array` | ||
- *Description:* Job array index values (a list of integers in increasing order). The task index can be accessed via the `SLURM_ARRAY_TASK_ID` environment variable. | ||
- *Example values:* `--array=1-10` (10 jobs), `--array=1-100%5` (100 jobs, but only 5 of them will be allowed to run in parallel at any given time). | ||
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:::{warning} | ||
If an array consists of many jobs, using the `%` syntax to limit the maximum number of parallel jobs is recommended to prevent overloading the cluster. | ||
::: |
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