[Lilab] Fwd: [HPCC] Cluster Shutdown Announcement and Release of OnDemand

[Wei Vivian Li]

Please put this scheduled shutdown on your calendar and plan ahead to avoid
unnecessary delays.

Best,
Vivian



---------- Forwarded message ---------
From: <no-reply at hpcc.ucr.edu>
Date: Thu, Jan 25, 2024 at 4:56 PM
Subject: [HPCC] Cluster Shutdown Announcement and Release of OnDemand
To: <no-reply at hpcc.ucr.edu>


Upcoming cluster shutdown and Open OnDemand instance release

WEBSITE <https://hpcc.ucr.edu/> - SLACK <https://ucr-hpcc.slack.com/> -
GITHUB <https://github.com/ucr-hpcc/ucr-hpcc.github.io>
Cluster Shutdown

*When*

Thu, Feb 22, 2024 @ 8:00am to Fri, Feb 23, 2024 @ 8:00pm

*Reason*

Maintenance and upgrade of the operating system and central storage system.

During the shutdown users will not be able to access the cluster via SSH or
web-based connections, including Rstudio Server, JupyterHub and OnDemand.
Web-based file access will also not be possible. Prior to the shutdown
please save your work. Updates on the status of the shutdown will be posted
on HPCC’s alerts page <https://hpcc.ucr.edu/news/alerts/>. If you need
additional information or help, you can reach us on HPCC’s Slack workspace (
https://ucr-hpcc.slack.com/) or outside the shutdown also via email (
support at hpcc.ucr.edu).

Note that if you submit a Slurm (or OnDemand) job prior to the shutdown
that extends into the maintenance window, your job will be queued with the
reason "ReqNodeNotAvail", indicating that your process cannot run due to
the scheduled shutdown. If this happens please cancel the affected job and
resubmit with a shorter run time that does not overlap with the shutdown
time. As of this email, the maximum possible run time for jobs is just over
27 days.

We apologize for the inconvenience. Occasional maintenance events are
necessary to keep our systems up-to-date, which is to the benefit of
everyone using our resources.
Release of Open OnDemand

*What is it?*

Recently we deployed Open OnDemand <https://openondemand.org/>, which
enables accessing our HPC resources directly from a web browser with no
additional client software required. It allows users to start their own
JupyterHub, RStudio (Posit), and Desktop Sessions. This approach scales
much better to large numbers of users by running these instances on
individual computer nodes. This means, users no longer need to share
hardware resources with other users on a single server instance as this was
necessary on our old web-based Jupyter and RStudio servers.

*Where*

The new OnDemand service is available here:

https://ondemand.hpcc.ucr.edu/

Additional information about using Open OnDemand on the HPCC is here
<https://hpcc.ucr.edu/manuals/hpc_cluster/selected_software/ondemand/>.

*Future*

If OnDemand works well for our users then it may become the default way for
accessing Jupyter and RStudio on the HPCC.
*Contacts*

Austin Leong
Sr. HPC Systems Administrator
austin.leong at email.ucr.edu
Emerson Jacobson
HPC Systems Administrator
emerson.jacobson at ucr.edu
Thomas Girke
Professor
Director of HPC Center
thomas.girke at ucr.edu
WEBSITE <https://hpcc.ucr.edu/> - SLACK <https://ucr-hpcc.slack.com/> -
GITHUB <https://github.com/ucr-hpcc/ucr-hpcc.github.io>
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