January 2025 OSCER's Intro workshop is tomorrow:

Thursday January 30th, 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

-- View job's real-time resource consumption (srun --jobid)

-- Modifying a pending batch job (Slurm scontrol command) 

-- Viewing info about past batch jobs (Slurm sacct command) 

-- sooner.oscer.ou.edu

 

OSCER TRAINING WORKSHOPS IN 2025 -- 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

To Be Determined

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

-- View job's real-time resource consumption (srun --jobid)

-- Modifying a pending batch job (Slurm scontrol command) 

-- Viewing info about past batch jobs (Slurm sacct command) 

* New supercomputer login

-- sooner.oscer.ou.edu

-- Entering container (el7 or el9)

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(2) Running Python Jobs and Using Jupyter for Small Jobs

on OSCER's Supercomputer

 

Dates

To Be Determined

 

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