JupyterHub HPC Meeting - March 2021#
Date: 2021-03-03
Time: 8:30 AM PST
GitHub issue:
Calendar for future meetings: https://jupyterhub-team-compass.readthedocs.io/en/latest/meetings.html
Welcome to the Meeting#
Hello! If you are joining the team video meeting, sign in below so we know who was here. Roll call:
name / institution / GitHub handle
Rollin / NERSC / @rcthomas
Shane / NERSC
Spencer / ORNL
Jens / Jülich Supercomputing Centre (JSC)
Richard / Aalto / @rkdarst
Félix-Antoine / Université Laval, Compute Canada / cmd-ntrf
Quick updates#
60 second updates on things you have been up to, questions you have, or developments you think people should know about. This is also a chance to suggest a future presentation if you’ve got work currently in progress you might want to share. Please add yourself, and if you do not have an update to share, you can pass.
NAME: What you’d like to update on
Rollin: CiSE article
Jens: Jülich (welcome!)
Félix-Antoine: Matlab JupyterLab extension mathworks/jupyter-matlab-proxy
Reports and celebrations#
This is a place to make announcements (without a need for discussion). This is also a great place to give shout-outs to contributors! We’ll read through these at the beginning of the meeting.
Agenda items#
Let’s collect all potential agenda items here before the start of the meeting. We will then attempt to create a coherent agenda that fits in the 60m meeting slot. If there are similar items try and group them together.
JupyterLab-Xpra integration (Jens):
NoMachine/VNC++ thing in the browser
Builds on top of jupyter-server-proxy
Opened an issue on jupyter-server-proxy
Main purpose is for Paraview
Makes it easier for people to get started from nothing
Mainly something like tutorials
There’s also TigerVNC integration via jupyter-desktop-server – Felix
Jens likes the xpra performance better
Clicks handled right away, VNC too laggy
MATLAB
JupyterLab extension
Anyone feel free to test, Felix is talking to Mathworks about testing it since he has a lot of users
MIG (multi-instance GPU, NVIDIA)
Can address “GPUs cannot be shared but must be shared”
Integration with Slurm is still in the works
https://www.nvidia.com/en-us/technologies/multi-instance-gpu/
Standing Items:
Batchspawner check-in
Autoformat PR:
Richard will have a response to the PR
Might be next month before doing something…
Wrapspawner check-in
JupyterLab 3 migrations (Rollin):
At NERSC kind of holding on jupyterlab-git
Upgrading our extensions (recents, favorites, slurm)
Migration tool helps but doesn’t handle everything
May push upgrade to April instead of March