Contact

  • Please contact us by e-mail via one of our two support addresses, depending on your request.
  • If you wish to contact us by phone, please call us at the numbers listed below. Alternatively, you can e-mail us to arrange an appointment for a telefone call.
  • Our usual office hours are from 9am to 5:30pm. If we are not available, you can always reach us by mail.

HPC Support

Research Data Management


Dr. Stefan Harfst

+49 (0)441 798-3147

W3 1-139

 

Dr. Johannes Vosskuhl

+49 (0)441 798-3576

W3 1-139

 

Fynn Schwietzer

 +49 (0)441 798-3287

 W3 1-139

 

Address:

Carl von Ossietzky Universität Oldenburg
Fakultät V - Geschäftsstelle
Ammerländer Heerstr. 114-118
26129 Oldenburg

Article

Newsletter August 2019

Our August newsletter!

Read about the new HPC introductory course, a new VPN client, parallelized computing, as well as some software news.

As previously announced, we want to keep up our new tradition of keeping our users informed about the latest changes and news regarding the HPC cluster.

  1. HPC Introduction course:

    We would like to announce that the next course “Introduction to High-Performance Computing” is planned for September 17th to 19th, 10am to 5pm in W01 0-008. The agenda for the full course is as follows:

    Day 1 – Introduction to HPC (HPC Cluster, Job Scheduler, …)
    Day 2 – Parallel Programming
    Day 3 – Using Matlab on the HPC Cluster

    Therefore, each day targets a different audience and it is perfectly ok to only participate in the sessions that suit your particular needs. If interested, please sign up for the course in Stud.IP. More information about the course is also available in the HPC wiki.

     

  2. VPN Connection:

    If you are connecting to the HPC cluster from outside the campus network, you need to establish a VPN connection first. In the HPC wiki, an updated guide is available on how to install and configure the VPN client on your local computer. You can also check the website of IT Services for detailed instructions (German only, but with many pictures).

     

  3. Managing a Large Number of Jobs:

    For many of you a very common reason to use the HPC cluster is to run many jobs that are identical except for a single parameter. Unlike massively parallel simulations, where many processes frequently have to communicate, the jobs in such a parameter study are completely independent of each other. A new HowTo in the HPC Wiki is now explaining the different methods to efficiently run task-parallel jobs on the cluster.

     

  4. Software News:
    The following modules are now available on the environment hpc-env/6.4:

    1. MultiQC/1.7-intel-2018a-Python-3.6.3
    2. Stacks/2.41-foss-2017b
    3.
    Lumerical/2019b-r3 *
    4.
    BBMap/38.61b-foss-2017b

    * Lumerical is formerly known as FDTD-Solutions and works the same when loaded. Lumerical decided to put the FDTD-Solution software into a software solution pack. Although FDTD Solutions will remain as known, the module Lumerical will be extended by some software features.


    You can also find a list of the latest installations from the last 2-3 months on our software wiki page. If you have a request for a software installation, you can send it to hpcsupport@uol.de. 

(Changed: 19 Jan 2024)  | 
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