OSCER users,
 
 
October 2024 OSCER's Intro workshop is this week:
Thursday October 17th, 1:00-3:00pm

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No preregistration needed -- just show up on Zoom! 
 
https://oklahoma.zoom.us/j/94533999288?pwd=dEtGaFl0dTNMZXA5b005dmloZDRFUT09
 
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Topics
 
* Logging in to OSCER's supercomputer
 
* Linux/Unix Basics
 
-- Basic Linux/Unix commands: pwd, ls, mkdir, cd, cp, cat,
chmod, man, exit, etc
 
-- Basic text editing for creating/modifying batch script
files, small input text files, etc
 
* OSCER supercomputer storage
 
-- Navigating your /home and /scratch directories
 
-- File uploading/downloading to/from supercomputer storage
 
-- OURdisk basics
 
* Batch Jobs
 
-- Overview of batch computing
 
-- Creating a Slurm batch script
 
-- Basic Slurm batch commands for submitting a batch job,
watching its status, viewing/following its output/error files,
cancelling it
 
-- Modules: searching, loading, listing, unloading/purging
 
PLUS, extras if time permits
 
* Useful Linux/Unix Command Line Skills
 
-- Copy-and-paste in the Linux/Unix terminal window
 
-- Re-running/modifying previous commands using the arrow keys
 
-- Filename completion using the tab key
 
-- Wildcards
 
* Batch Job Skills
 
-- Modifying a pending batch job (Slurm scontrol command)
 
-- Viewing info about past batch jobs (Slurm sacct command)
 
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OSCER TRAINING WORKSHOPS IN 2024 -- live via Zoom!
 
No preregistration needed -- just show up on Zoom!
 
(1) Introduction to Linux/Unix Commands and
Running Batch Jobs on OSCER's Supercomputer
 
[Once each in Jan, Feb, March, Apr, Aug, Sep, Oct and Nov.]
 
(2) Running Python Jobs and Using Jupyter for Small Jobs
on OSCER's Supercomputer
 
[Once each in Jan, March, Sep and Dec.]
 
Details are below. Offerings are subject to change without 
notice.
 
The OSCER Team ([log in to unmask])
 
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You *MUST* be eligible for, and have, an OSCER supercomputer 
account, to be able to get full value from any of these workshops:
 
http://www.oscer.ou.edu/account_request/
 
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Zoom:
 
https://oklahoma.zoom.us/j/94533999288?pwd=dEtGaFl0dTNMZXA5b005dmloZDRFUT09
 
Non-OU participants: You *MUST* have a Zoom account to 
participate, which can be an institutional account or a free one.
 
If you don't already have a Zoom account, please go to:
 
http://zoom.us/
 
and click on the button in the upper right of the page that says
 
Sign Up Free
 
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(1) Introduction to Linux/Unix Commands and
Running Batch Jobs on OSCER's Supercomputer
 
Dates
 
Thu Aug 8 1:00-3:00pm
Thu Sep 19 1:00-3:00pm
Thu Oct 17 1:00-3:00pm
Thu Nov 14 1:00-3:00pm
 
Topics
 
* Logging in to OSCER's supercomputer
 
* Linux/Unix Basics
 
-- Basic Linux/Unix commands: pwd, ls, mkdir, cd, cp, cat,
chmod, man, exit, etc
 
-- Basic text editing for creating/modifying batch script
files, small input text files, etc
 
* OSCER supercomputer storage
 
-- Navigating your /home and /scratch directories
 
-- File uploading/downloading to/from supercomputer storage
 
-- OURdisk basics
 
* Batch Jobs
 
-- Overview of batch computing
 
-- Creating a Slurm batch script
 
-- Basic Slurm batch commands for submitting a batch job,
watching its status, viewing/following its output/error files,
cancelling it
 
-- Modules: searching, loading, listing, unloading/purging
 
PLUS, extras if time permits
 
* Useful Linux/Unix Command Line Skills
 
-- Copy-and-paste in the Linux/Unix terminal window
 
-- Re-running/modifying previous commands using the arrow keys
 
-- Filename completion using the tab key
 
-- Wildcards
 
* Batch Job Skills
 
-- Modifying a pending batch job (Slurm scontrol command)
 
-- Viewing info about past batch jobs (Slurm sacct command)
 
---
 
(2) Running Python Jobs and Using Jupyter for Small Jobs
on OSCER's Supercomputer
 
Dates
 
Tue Sep 24 9:00-11:00am
Thu Dec 5 1:00-3:00pm
 
Topics
 
* Creating a virtual Python environment in your home directory
and installing your preferred Python packages
 
* Small interactive Python runs using Jupyter
(JupyterLab/Jupyter Notebooks)
 
* Python for Machine Learning (especially on GPUs)
 
-- Module(s) for GPU-enabled Python ML (cuDNN/CUDA/Python)
 
-- Creating, submitting and monitoring a Python GPU ML
batch script