Events Calendar

Introduction to High Performance Computing (Helium & Neon)

The University of Iowa consists of two cluster computers, Helium and Neon. Helium is the older system (2011) with 3508 cores and 359 nodes and 3 login nodes. Neon is the newest system (2013) which consists of 3824 cores and 258 compute nodes and 2 login nodes. 

 

ITS – Research Services is holding a two hour introductory training session on High Performance Computing (HPC) using the Neon Cluster.  This session is intended for anyone who will be running jobs on Neon.  The training session covers the following aspects:

 

How to make the most effective use of HPC resources
Connecting to the Neon cluster
Launching HPC jobs

Getting your data to and from Neon

Getting access to the software you need

Few high level differences between Helium and Neon

This training session will be taught be Ben Rogers, Director, ITS-Research Services, and will provide both lecture-based and hands-on training. The session will take place October 27 from 1 PM to 3 PM with a break in the middle and will be located in the IT Training Room (2523) in the UCC Conference Center on the second floor of the Old Capital Mall. 

There is room for 16 people.  Please click on the "I'm Going" button if you are interested in attending.  

Please note: In order to complete the in class activities, you will need a Neon cluster account.  If you have not already done so, please visit the HPC apply account page and click on Neon HPC Cluster. 

The access agreement form is located here:

http://hpc.uiowa.edu/user-services/apply-account

Thursday, October 27, 2016 at 1:00pm to 3:00pm

University Capitol Centre, 2523 Training Room
200 South Capitol Street, Iowa City, Iowa

Event Type

Conference/Workshop, Training

Audience

Students, Faculty/Staff

Departments

Information Technology Services, Research Services, High Performance Computing

General Interest

Informatics

Cost

Free to attend

Contact Name

Sai Ramadugu

Contact Email

saikumar-ramadugu@uiowa.edu

Contact Phone Number

3193355330

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Jeffrey Hajewski

Jeffrey Hajewski left a positive review 10/26/2016

Fantastic overview of the system along with really well done introduction to using the system