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Welcome to the website of the Scientific Computing service of ZIMT.

ZIMT (Zentrum für Informations- und Medientechnik) operates the OMNI cluster and a number of other systems to provide scientific computation capabilities to all scientists of Uni Siegen. Using the systems is free for all members of the university.

If you would like to use on of our systems, or if you are looking for advice on scientific computing, contact us at hpc-support@uni-siegen.de or visit us in our weekly consultation hour.

Latest News

Announcement: MATLAB Workshops on Python integration, machine learning, deep learning

hpc.nrw and MathWorks are cordially invite you to three additional MATLAB workshops.

About this website

This website has several purposes:

Systems

OMNI Cluster

The OMNI cluster is the central computing resource and the largest of our systems by far.

The cluster is used for example for computations in the fields of computational fluid dynamics, finite-element methods and chemical simulations. However, it is also designed with applications from many other fields (e.g. Big Data) in mind.

The OMNI cluster consists of 434 regular compute nodes with 64 cores and 256 GB RAM each, as well as a multitude of other nodes for special purposes, including GPU nodes. Around 500 TB of total disk storage is available and the peak performance is roughly 1044 TFlops.

The installed operating system is CentOS Linux.

You can find more detailed system information here.

Other systems

ZIMT currently makes available the following other systems:

You can find a more detailed overview here. These systems are particularly suited for testing the corresponding processor architectures. If you want to know whether your software might profit from running on one of these systems, please contact us.

Contact

The cluster is operated by the HPC support team of ZIMT. If you have questions, problems or would like software to be installed on the cluster, you can reach us at:

hpc-support@uni-siegen.de

or visit us in our weekly consultation hour.

All cluster users are also added to a mailing-list automatically which is used for news updates.

Aktualisiert um 17:33 am 12. August 2018 von Jan Steiner