Cardinal

Cardinal SSH key fingerprints

These are the public key fingerprints for Cardinal:

cardinal: ssh_host_rsa_key.pub = 73:f2:07:6c:76:b4:68:49:86:ed:ef:a3:55:90:58:1b
cardinal: ssh_host_ed25519_key.pub = 93:76:68:f0:be:f1:4a:89:30:e2:86:27:1e:64:9c:09
cardinal: ssh_host_ecdsa_key.pub = e0:83:14:8f:d4:c3:c5:6c:c6:b6:0a:f7:df:bc:e9:2e

Batch Limit Rules

The PBS compatibility layer is disabled on Cardinal so PBS batch scripts WON'T work on Cardinal, though it works on the Pitzer cluster. You also need to use sbatch (instead of qsub) command to submit jobs. Refer to the Slurm migration page to understand how to use Slurm. 

Memory limit

It is strongly suggested to consider the memory use to the available per-core memory when users request OSC resources for their jobs.

Change is Coming!

Later this fall, OSC will be introducing a major change to the current process clients use to get help. We will be rolling out a new web-based system for clients to manage and review open cases with the service desk. More information will be forthcoming over the next few months, so keep an eye out for messages on various OSC communication channels, as well as at https://www.osc.edu/service_portal_deployment .

System Downtime August 6 2024

A downtime for OSC HPC systems is scheduled from 7 a.m. to 9 p.m., Tuesday, August 6 2024. The downtime will affect the Pitzer, Owens and Ascend Clusters, web portals, and HPC file servers. There will be a short outage of the state-wide licenses; MyOSC (the client portal) will be available during the downtime. In preparation for the downtime, the batch scheduler will not start jobs that cannot be completed before 7 a.m., August 6. Jobs that are not started on clusters will be held until after the downtime and then started once the system is returned to production status.

AutoDock

AutoDock is a a suite of automated docking tools. It is designed to predict how small molecules, such as substrates or drug candidates, bind to a receptor of known 3D structure. AutoDock has applications in X-ray crystallography, structure-based drug design, lead optimization, etc.

Nodejs

Nodejs is used to create server-side web applications, and it is perfect for data-intensive applications since it uses an asynchronous, event-driven model

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