2020-11-18
https://www.psc.edu/resources/bridges/
we will typically use two types:
RSM with 128 G ram - analagous to SMP
AI-GPU (V100's) - for GPU
Two places to typically store files
Home space: 10 Gb only!
pylon5 ($SCRATCH): persistant or scratch (data storage)
/pylon5/bio200037p/sammlapp
We have 2000 something (Gb?)
Node-local ($LOCAL): disk that can be used from within a node on a job (temporary!)
Memory files ($RAMDISK)
Can use globus to transfer files
Anaconda and ffmpeg are available. We'll need to add them as some sort of module in an environment.
module -v to get help
search for modules, such as anaconda:
module avail anaconda
load:
module load anaconda3/2019.10 #python 3.7.4
module purge #remove all modules
pip install --user virtualenvwrapper
pip install --user poetry
now run which virtualenvwrapper_lazy.sh and copy the path of that document
then open your ~/.bashrc and add these lines:
source ~/.local/bin/virtualenvwrapper_lazy.sh
export WORKON_HOME=~/.cache/pypoetry/virtualenvs
just this time: run source ~/.bashrc since it isn't sourced yet
use virtualenvwrapper as normal
mkvirtualenv testenv
A replacement for JupyterHub / R Studio
First, make sure you have ssh set up by loging into xsede website and setting up dual authentication.
ssh [USER]@login.xsede.org
use duo-push to log in
gsissh bridges
sacctmgr show cluster
sinfo
check a node:
scontrol show node r007
Check our allocations
projects