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Interactive Computing on the Comet Cluster
Interactive HPC systems allow real-time user inputs in order to facilitate code development, real-time data exploration, and visualizations. An interactive job (also referred as interactive session) will provide you with a shell on a compute node in which you can launch your jobs. In this tutorial we show you how to obtain interactive nodes on SDSC HPC systems
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Obtain an Interactive Nodes on Comet
There are two ways to obtain interactive nodes:
- via the command line
- via a batch script
Log onto comet.sdsc.edu
ssh -Y -l `username` comet.sdsc.edu
Request an interactive node from the command line:
(base) [mthomas@comet-ln2:~] srun --pty --nodes=1 --ntasks-per-node=24 -p debug -t 00:30:00 --wait 0 /bin/bash
srun: job 31023522 queued and waiting for resources
. . . .
Wait for your node to be allocated. This may take a long time, depending on how busy the system is. When you have your node, you will get a message like this:
srun: job 31023522 has been allocated resources
(base) [mthomas@comet-14-01:~]
Notice that you are logged onto a different node than the login node. Run some commands to learn about the node:
(base) [mthomas@comet-14-01:~] hostname
comet-14-01.sdsc.edu
(base) [mthomas@comet-14-01:~] who
(base) [mthomas@comet-14-01:~] whoami
mthomas
(base) [mthomas@comet-14-01:~]
(base) [mthomas@comet-14-01:~] top
top - 21:37:07 up 15 days, 15:58, 0 users, load average: 0.03, 0.06, 0.05
Tasks: 620 total, 1 running, 619 sleeping, 0 stopped, 0 zombie
%Cpu(s): 0.0 us, 0.0 sy, 0.0 ni, 99.9 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st
KiB Mem : 13165400+total, 12897894+free, 1933784 used, 741272 buff/cache
KiB Swap: 0 total, 0 free, 0 used. 12866142+avail Mem
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
17259 root 20 0 22408 15684 2476 S 0.7 0.0 30:25.44 serf
6380 root 20 0 0 0 0 S 0.3 0.0 0:13.09 jbd2/md1-8
1 root 20 0 192860 4816 1604 S 0.0 0.0 2:30.00 systemd
2 root 20 0 0 0 0 S 0.0 0.0 0:02.72 kthreadd
3 root 20 0 0 0 0 S 0.0 0.0 0:07.61 ksoftirqd/0
8 root rt 0 0 0 0 S 0.0 0.0 0:01.05 migration/0
9 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcu_bh
10 root 20 0 0 0 0 S 0.0 0.0 4:00.35 rcu_sched
At this point, you can edit, compile, run code, including MPI, OpenMP, or jupyter notebooks. For an example of running a notebook, see the How to Run Notebooks on Comet tutorial: https://github.com/sdsc-hpc-training/basic_skills/tree/master/how_to_run_notebooks_on_comet
Obtain interactive shared GPU node on SDSC Comet
This works the same way, but you need to access the GPU nodes
The command below will launch the command srun
srun -t 00:30:00 --partition=gpu-shared --nodes=1 --ntasks-per-node=7 \
--gres=gpu:p100:1 --reservation=sccgpures --pty --wait=0 /bin/bash
The SLURM launch command below to obtain an interactive node with access to 1 K80 GPU on the shared GPU nodes for 3h. You can also execute this command directly on the command line:
srun --partition=gpu-shared --reservation=gputraining \
--nodes=1 --ntasks-per-node=6 --gres=gpu:k80:1 \
-t 03:00:00 --pty --wait=0 /bin/bash
It may take some time to get the interactive node.
Load the CUDA and PGI compiler modules
module purge
module load gnutools
module load cuda
module load pgi
If you get a license error when executing the PGI compilers, execute the following:
export LM_LICENSE_FILE=40200@elprado.sdsc.edu:$LM_LICENSE_FILE