changelog Updates

hpc-internal.carnegiescience.edu

SLURM's Default Memory Per CPU Increased (1GB --> 2GB)

by Floyd Fayton, HPC Admin

Hi All, Based on previous usage, the default allocation of 1GB of memory per cpu is too low. I have now increased this default to 2GB of memory per cpu. If you are not setting memory requirements in your job(s), this will change will...

SLURM Priority Adjustment

by Floyd Fayton, HPC Admin

Since priorities were not working for those users who use Memex less frequently and in smaller batches of submitted jobs, these parameters were adjusted: As a result gres/gpu was added to: This functionality changes in SLURM 19+, but...

Did You Know ... Slack Edition

by Floyd Fayton, HPC Admin

Did you know we have a Slack channel for HPC/Research Computing? Signup to our Carnegie Institution for Science workspace (click here) and then join the #hpc channel. Please use your Google login, "@carnegiescience.edu", email...

Did You Know ... Python Edition

by Floyd Fayton, HPC Admin

Did you know official support for Python 2 is over? That said, we have Python 3 available on Memex by loading the module, "python/3.6.7". This Python version includes conda, R, Jupyter, IntelMPI, and many other packages. Most...

Did You Know ... Storage Edition

by Floyd Fayton, HPC Admin

Did you know there's a 256GB quota for all This policy will be fully enforced in the coming weeks. This requirement is needed to manage space and load for > ==Note:== If you are currently over the limit, you will have time to move...

Did You Know ... SLURM Edition

by Floyd Fayton, HPC Admin

Did you know there's a gui to view SLURM jobs? Inside a VNC or "ssh -XY .." session, type Did you know you can view the maximum resources of each node with: Did you know you can view the maximum memory used for running jobs with (see...

New Nodes Added - memex-c[117-124]

by Floyd Fayton, HPC Admin

Nodes, memex-c[117-124], were added to Memex on 2/13/19. These nodes are identical to memex-c[109-116], which all have 256GB of raw memory and up to 250GB of free/unused memory per node. Users can request any of these nodes by adding...