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Update GPU access commands from salloc to srun --pty bash #114

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Update GPU access commands from salloc to srun --pty bash #114

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10 changes: 5 additions & 5 deletions source/gpu.rst
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Expand Up @@ -8,22 +8,22 @@ SubMIT provides access to several GPUs. This section outlines how to utilize the
Slurm with GPUs
~~~~~~~~~~~~~~~

Interactive access (salloc)
Interactive access
...........................

SubMIT allows interactive login access to GPUs through the ``salloc`` command. This allows users to interactively test their GPU applications.
SubMIT allows interactive login access to GPUs through the ``srun`` command. This allows users to interactively test their GPU applications.

Accessing the ``submit-gpu`` partition:

.. code-block:: sh

salloc --partition=submit-gpu --cpus-per-gpu=1 --gres=gpu:1
srun --partition=submit-gpu --cpus-per-gpu=1 --gres=gpu:1 --pty bash

To request more than one GPU, adjust the ``--gres=gpu:<number>`` option.

.. code-block:: sh

salloc --partition=submit-gpu --cpus-per-gpu=1 --gres=gpu:4
srun --partition=submit-gpu --cpus-per-gpu=1 --gres=gpu:4 --pty bash

Batch jobs and script execution
...............................
Expand Down Expand Up @@ -119,7 +119,7 @@ Once you source your bashrc file, you should be able to use CUDA.

source ~/.bashrc

In order to check which CUDA version is installed you can use the command below; note that this command will not work if you are not on a GPU (e.g. access a GPU through `salloc <https://submit.mit.edu/submit-users-guide/gpu.html#interactive-access-salloc>`_). Make sure this version fits your workflow.
In order to check which CUDA version is installed you can use the command below; note that this command will not work if you are not on a GPU (e.g. access a GPU through `srun <https://submit.mit.edu/submit-users-guide/gpu.html#interactive-access>`_). Make sure this version fits your workflow.

.. code-block:: sh

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