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From a login node, invoke,

srun --account=<myPIRG> --pty bash

This will launch a job on the default partition and ssh you to the assigned node.

Optionally, you may pass any of the regular job options to srun. If you wish to specify the partition on which you wish to run, the amount of memory, etc.

For example, to launch a job on the "foo" partition we would invoke,

srun --account=<myPIRG> --partition=foo --pty bash

For a full list of options see man srun

Note that, as with batch jobs, if there are no slots available in the partition you choose, the srun command will wait until one becomes available and then proceed. So, if the command seems to hang, this is probably what is happening.

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After 90 minutes, if you don't exit sooner, the job will be killed and you will be disconnected from the compute node.

Running Interactive GPU jobs

Interactive jobs are not limited to CPU only jobs, you can also use GPUs when submitting an interactive job.

In order to do this, you’ll need to request a GPU. An example of this is seen below:

$ srun --account=racs --partition=interactivegpu --time=20 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem=500m --gpus=1 --constraint=gpu-10gb --pty bash

srun → Submits and runs a job interactively in SLURM.

-account=racs → Specifies the PIRG that the job will run under (This is the pirg you are part of, in my case it is the racs pirg)

--partition=interactivegpu → Requests the interactivegpu partition, meaning it's likely optimized for interactive GPU use.

--time=20 → Sets a time limit of 20 minutes for the job. The default is 1 hour and a max of 12 hours.

--nodes=1 → Requests 1 compute node.

--ntasks=1 → Specifies 1 task for the job (useful for MPI workloads, but here it just means one job instance).

--cpus-per-task=1 → Allocates 1 CPU core per task.

--mem=500m → Requests 500 MB of RAM.

--gpus=1 → Requests 1 GPU for the job.

--constraint=gpu-10gb → Ensures the allocated GPU has at least 10GB of memory. Nodes in the interactivegpu partiton only have GPUs with 10GB memory so in this case we don’t have to specify. However,

other gpu nodes on Talapas have 10, 40, and 80 GB of GPU memory and are requested with gpu-10gb, gpu-40gb, and gpu-80gb

--pty → Runs the command in a pseudo-terminal (interactive session).

bash → Starts a Bash shell in the allocated environment.

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