5,337
edits
UMIACS Servers: Difference between revisions
→MBRC Cluster
(→Python) |
|||
| Line 139: | Line 139: | ||
Proxy the sshd from the local docker to your localhost. | Proxy the sshd from the local docker to your localhost. | ||
Connect to the the sshd on the cluster | Connect to the the sshd on the cluster | ||
==Class Accounts== | |||
See [https://wiki.umiacs.umd.edu/umiacs/index.php/ClassAccounts UMIACS Wiki: ClassAccounts] | |||
Class accounts have the least priority. If GPUs are available, you can access 1 GPU up to 48 hours. | |||
However, your home disk only has 18GB and installing PyTorch takes up ~3GB. | |||
You cannot fit a conda environment in here so just use the python module. | |||
The ssh endpoint is | |||
<pre> | |||
class.umiacs.umd.edu | |||
</pre> | |||
Start a job with: | |||
<pre> | |||
srun --pty --account=class --partition=class --gres=gpu:1 --mem=16G --qos=default --time=47:59:00 -c4 bash | |||
</pre> | |||
{{hidden | My .bashrc | | |||
<pre> | |||
#PS1='\w$ ' | |||
PS1='\[\e]0;\u@\h: \w\a\]${debian_chroot:+($debian_chroot)}\[\033[01;32m\]\u@\h\[\033[00m\]:\[\033[01;34m\]\w\[\033[00m\]\$' | |||
# Modules | |||
module load tmux | |||
module load cuda/10.0.130 | |||
module load cudnn/v7.5.0 | |||
module load Python3/3.7.6 | |||
alias python=python3 | |||
export PATH="${PATH}:${HOME}/bin/" | |||
export PATH="${PATH}:${HOME}/.local/bin/" | |||
</pre> | |||
}} | |||
==<code>.bashrc</code>== | ==<code>.bashrc</code>== | ||