This is not official documentation for the [Vienna Scientific Cluster](https://vsc.ac.at). For this check the [VSC Wiki](https://wiki.vsc.ac.at). Instead, this is my personal cheat sheet of things that are not well documented elsewhere. Also while the content is focused on the VSC, most of the things mentioned here also apply to similar setups that use Slurm at other universities.
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## Basics
**Always request an interactive session when running anything using a non-trivial amount of CPU power!**
- [`--time`](https://slurm.schedmd.com/sbatch.html#OPT_time): limit the run time, e.g. `10:00` for 10 hours
- [`--mem`](https://slurm.schedmd.com/sbatch.html#OPT_mem): memory limit, e.g. `20G`
- [`--output`](https://slurm.schedmd.com/sbatch.html#OPT_output), `-o`: where to store the output of the executed script
- [`--dependency=afterany:1234`](https://slurm.schedmd.com/sbatch.html#OPT_dependency): only run job after job with ID 1234 has terminated
### Useful Environment Variables
-`$SLURM_NODELIST`
-`$SLURM_NNODES`
-`$SLURM_NPROCS`
-`SLURM_JOB_NAME`
Especially the latter can be used e.g. for running MPI programs with the requested number of CPU cores:
```bash
mpiexec -np $SLURM_NPROCS ./program
```
### Submitting Jobs
A job script can be submitted using
```bash
sbatch jobfile.sh # you can also add sbatch options here
```
You can also
As the `jobfile.sh` is a regular shell script, you can pass arguments like
```bash
sbatch jobfile.sh somevalue
```
and then access `somevalue` as `$1` in your script. This way multiple similar jobs can be submitted without needing to edit the jobscript.
## Queue
The current status of jobs in the Queue can be seen using [`squeue`](https://slurm.schedmd.com/squeue.html).
```bash
squeue -u username
```
Especially useful is the estimated start time of a scheduled job:
```bash
squeue -u username --start
```
A lot more information about scheduling including the calculated priority of the job can be found using [`sprio`](https://slurm.schedmd.com/sprio.html)
```bash
sprio -u lwinkler
```
This will also show the reason why the job is still queued for which an explanation can be found [in the slurm documentation](https://slurm.schedmd.com/squeue.html#lbAF).
Details about past Jobs (like maximum memory usage), can be found using [`sacct`](https://slurm.schedmd.com/sacct.html). You can manually specify the needed columns or display most of them using `--long`
```bash
sacct -j 2052157 --long
```
## SSH login via login.univie.ac.at
[official docs](https://wiki.vsc.ac.at/doku.php?id=doku:vpn_ssh_access) (but we are using the more modern ProxyJump instead of Agent forwarding as this way we don't have to trust the intermediate server with our private key)
Access to VSC is only possible from IP addresses of the partner universities. If you are from the university of vienna and don't want to use the VPN, an SSH tunnel via `login.univie.ac.at` is an alternative.
To connect to the login server, the easiest thing is to put the config for the host in your `~/.ssh/config` (create it, if it doesn't yet exist).
```ssh-config
Host loginUnivie
HostName login.univie.ac.at
User testuser12 # replace with your username
# the following are needed if you are using OpenSSH 8.8
# and the login server isn't yet updated to a never version
HostkeyAlgorithms +ssh-rsa
PubkeyAcceptedAlgorithms +ssh-rsa
```
This way you should now be able to connect to the login server using
```bash
ssh loginUnivie
```
Then you can add another entry to `~/.ssh/config` for VSC that uses `ProxyJump` to connect via the `loginUnivie` entry we just created.
([official docs](https://wiki.vsc.ac.at/doku.php?id=doku:spack), that this guide builds on. More useful tips can be found in the [spack documentation](https://spack.readthedocs.io/en/latest/))
Software that is needed can be loaded via modules. The easiest way to find the right module for the current processor architecture, is directly querying `spack`, which is used to provide all compiled libraries and applications. There should never be a need to run `module` directly and doing so might accidentally pick libraries that are not intended for the current processor architecture.
### Finding the right module
The easiest way is using `spack find`.
```bash
$ spack find cmake
```
If you get a long output, you can ignore everything above the `==> N installed package(s)` line as it is unrelated to your current query. In case this only returns one module that fits your requirements, you can directly replace `spack find` with `spack load` to load this module.
But most of the time, you will find multiple modules which differ in their properties (and `spack load` will fail if the query resolves to more than one package):
The most important property is the version and it is denoted with an `@` sign. Another property is the compiler the program or library was compiled with and it can be separated with a `%`.
So if you want to load e.g. `cmake` version 3.x.x compiled with `gcc` version 11, you could directly search for it and subsequently load it.
```bash
$ spack find cmake@3%gcc@11
$ spack load spack find cmake@3%gcc@11
```
This way if another minor update of cmake is released, your command will load it. If you don't like this, check the next section.
Sometimes there are also multiple variants of the same module. `spack info modulename` can give you an overview over all of them, but that doesn't mean that all combinations of variants/compilers/versions are offered at VSC. If you are for example interested in the `hdf5` library with MPI support, you can search for the following (`-v` gives you the exact properties of each module):
```bash
$ spack find -v hdf5 +mpi
```
### "Locking" modules
If you dislike the fact that `spack load` queries don't resolve to specific packages, but just filters that describe the properties you want or prefer exactly specifying the version of a package for reproducibility, you can find the hash of package using `spack find -l` and can then use `/hash` to always refer to this exact package:
### Avoiding broken programs due to loaded dependencies
Loading a spack module not just loads the specified module, but also all dependencies of this module. With some modules like `openmpi` that dependency tree can be quite large.
And loading module like `openssl` or `ncurses` from spack means that programs that depend on those libraries, but the versions provided by the base operating system, will crash.
```bash
$ spack load openmpi%gcc
$ nano somefile.txt
Segmentation fault (core dumped)
$ htop
Segmentation fault (core dumped)
```
One can avoid this by unloading the affected modules afterwards.
```bash
spack unload ncurses
spack unload openssl
```
But in many cases one doesn't need all dependency modules and is really just interested in e.g. `openmpi` itself. Therefore, one can ignore the dependencies with `--only package`.
Sometimes one needs to know what `spack load somepackage` does exactly (e.g. because a library is still not found even though you loaded the module). Adding `--sh` to `spack load` prints out all commands that would be executed during the `module load` allowing you to understand what is going on.
This is a list of modules I commonly used. While it might not be directly usable for other people and will go out of date quickly, it might still serve as a good starting point.