Introduction
We have prepared a hal-login3 machine as a login node so that users can request computational resources from hal-dgx and overdrive.
How to login hal-login3
ssh <user_id>@hal-login3.ncsa.illinois.edu
Type sinfo to check the existing partitions
[dmu@hal-login3 ~]$ sinfo PARTITION AVAIL TIMELIMIT NODES STATE NODELIST arm up 15-00:00:0 1 idle overdrive x86* up 15-00:00:0 1 idle hal-dgx
Note: hal-login3 has no shared file system.
Access to hal-dgx
You need to submit a interactive job and/or batch script to request some resources to run your jobs.
1. Interactive
Request 1x GPU along with 32x CPU cores for 4 hours
srun --partition=x86 --time=4:00:00 --nodes=1 --ntasks-per-node=32 --sockets-per-node=1 --cores-per-socket=16 --threads-per-core=2 --mem-per-cpu=4000 --wait=0 --export=ALL --gres=gpu:a100:1 --pty /bin/bash
Request 2x GPU along with 64x CPU cores for 12 hours
srun --partition=x86 --time=12:00:00 --nodes=1 --ntasks-per-node=64 --sockets-per-node=1 --cores-per-socket=32 --threads-per-core=2 --mem-per-cpu=4000 --wait=0 --export=ALL --gres=gpu:a100:2 --pty /bin/bash
Request 4x GPU along with 128x CPU cores for 24 hours
srun --partition=x86 --time=24:00:00 --nodes=1 --ntasks-per-node=128 --sockets-per-node=1 --cores-per-socket=64 --threads-per-core=2 --mem-per-cpu=4000 --wait=0 --export=ALL --gres=gpu:a100:4 --pty /bin/bash