bwForCluster

The bwForCluster MLS&WISO is a high-performance computing cluster for the fields of molecular life sciences (German acronym: MLS), economics, and social sciences (German acronym: WISO), and is operated at sites in Heidelberg and Mannheim. The bwForCluster MLS&WISO is a joint project between the URZ, the Interdisciplinary Center for Scientific Computing (German acronym: IWR) of Heidelberg University, and the Computing Centre of the University of Mannheim (German acronym: RUM). While the production part of the cluster is used for research purposes in the fields mentioned above, its development part is used for developing new methods in the area of scientific computing. This development process is coordinated by the IWR.

Employees and students at Baden-Württemberg’s public universities can make use of the cluster for purposes related to the research areas mentioned above.

If you would like to access the cluster, you will need to start a registration process, which is described in detail in the bwHPC-Wiki.

According to the "Umsetzungskonzept der Universitäten des Landes Baden-Württemberg für das Hochleistungsrechnen bwHPC" (Plan of the State of Baden-Württemberg’s Universities for high-performance computing bwHPC) there are, aside from the basic supply system bwUniCluster, four bwForClusters at four different locations. Each of these can be used for specific subjects and research areas. The bwForCluster was financed by the Ministry for Sciences, Research and Arts of Baden-Württemberg (German acronym: MWK) and by the Deutsche Forschungsgemeinschaft (German Research Foundation; German acronym: DFG). If you want more information about the concept and about access to the systems, please refer to the bwHPC-Wiki.


Nutzertreffen - Community Forum Data-Intensive Computing (DIC)

Das Community Forum Data-Intensive Computing (DIC) ist ein Austausch- und Informationstreffen für bestehende und zukünftige Nutzer/innen von Data-Intensive Computing Diensten der Universität Heidelberg. Darunter fallen der Landesdienst SDS@hd - Scientific Data Storage zur Speicherung wissenschaftlicher Daten als auch die bwHPC-Rechenressourcen.
Interessenten können auch selbständig die E-Mail-Liste CF-DIC abonnieren.

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